Connect public, paid and private patent data with Google Patents Public Datasets

Advanced patient management with environmental data

Download PDF

Info

Publication number
US20040122294A1
US20040122294A1 US10323590 US32359002A US2004122294A1 US 20040122294 A1 US20040122294 A1 US 20040122294A1 US 10323590 US10323590 US 10323590 US 32359002 A US32359002 A US 32359002A US 2004122294 A1 US2004122294 A1 US 2004122294A1
Authority
US
Grant status
Application
Patent type
Prior art keywords
various
embodiments
parameter
device
parameters
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Abandoned
Application number
US10323590
Inventor
John Hatlestad
Jeffrey Stahmann
Qingsheng Zhu
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Cardiac Pacemakers Inc
Original Assignee
Cardiac Pacemakers Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date

Links

Images

Classifications

    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/0002Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A61B5/0031Implanted circuitry
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/0002Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A61B5/0015Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system
    • A61B5/0022Monitoring a patient using a global network, e.g. telephone networks, internet
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/0205Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1118Determining activity level
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B7/00Instruments for auscultation
    • A61B7/02Stethoscopes
    • A61B7/04Electric stethoscopes
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61NELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
    • A61N1/00Electrotherapy; Circuits therefor
    • A61N1/18Applying electric currents by contact electrodes
    • A61N1/32Applying electric currents by contact electrodes alternating or intermittent currents
    • A61N1/36Applying electric currents by contact electrodes alternating or intermittent currents for stimulation
    • A61N1/372Arrangements in connection with the implantation of stimulators
    • A61N1/37211Means for communicating with stimulators
    • A61N1/37252Details of algorithms or data aspects of communication system, e.g. handshaking, transmitting specific data or segmenting data
    • A61N1/37282Details of algorithms or data aspects of communication system, e.g. handshaking, transmitting specific data or segmenting data characterised by communication with experts in remote locations using a network
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • G06F19/3406Local monitoring or local control of medical devices, e.g. configuration parameters, graphical user interfaces [GUI] or dedicated hardware interfaces
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • G06F19/3418Telemedicine, e.g. remote diagnosis, remote control of instruments or remote monitoring of patient carried devices
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • G06F19/3431Calculating a health index for the patient, e.g. for risk assessment
    • G16H40/63
    • G16H50/30
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2560/00Constructional details of operational features of apparatus; Accessories for medical measuring apparatus
    • A61B2560/02Operational features
    • A61B2560/0242Operational features adapted to measure environmental factors, e.g. temperature, pollution
    • A61B2560/0247Operational features adapted to measure environmental factors, e.g. temperature, pollution for compensation or correction of the measured physiological value
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2560/00Constructional details of operational features of apparatus; Accessories for medical measuring apparatus
    • A61B2560/02Operational features
    • A61B2560/0242Operational features adapted to measure environmental factors, e.g. temperature, pollution
    • A61B2560/0247Operational features adapted to measure environmental factors, e.g. temperature, pollution for compensation or correction of the measured physiological value
    • A61B2560/0252Operational features adapted to measure environmental factors, e.g. temperature, pollution for compensation or correction of the measured physiological value using ambient temperature
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2560/00Constructional details of operational features of apparatus; Accessories for medical measuring apparatus
    • A61B2560/02Operational features
    • A61B2560/0242Operational features adapted to measure environmental factors, e.g. temperature, pollution
    • A61B2560/0247Operational features adapted to measure environmental factors, e.g. temperature, pollution for compensation or correction of the measured physiological value
    • A61B2560/0257Operational features adapted to measure environmental factors, e.g. temperature, pollution for compensation or correction of the measured physiological value using atmospheric pressure
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/05Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radiowaves
    • A61B5/053Measuring electrical impedance or conductance of a portion of the body
    • A61B5/0537Measuring body composition by impedance, e.g. tissue hydration or fat content
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/08Detecting, measuring or recording devices for evaluating the respiratory organs
    • A61B5/0816Measuring devices for examining respiratory frequency
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/08Detecting, measuring or recording devices for evaluating the respiratory organs
    • A61B5/091Measuring volume of inspired or expired gases, e.g. to determine lung capacity
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61NELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
    • A61N1/00Electrotherapy; Circuits therefor
    • A61N1/18Applying electric currents by contact electrodes
    • A61N1/32Applying electric currents by contact electrodes alternating or intermittent currents
    • A61N1/36Applying electric currents by contact electrodes alternating or intermittent currents for stimulation
    • A61N1/372Arrangements in connection with the implantation of stimulators
    • A61N1/37211Means for communicating with stimulators
    • A61N1/37252Details of algorithms or data aspects of communication system, e.g. handshaking, transmitting specific data or segmenting data

Abstract

Systems, devices and methods for using environmental data to manage health care are disclosed. One aspect is an advanced patient management system. In various embodiments, the system includes at least one implantable medical device (IMD) to acquire at least one IMD parameter indicative of patient wellness, means to acquire at least one environmental parameter from at least one external source, and means to correlate the at least one parameter indicative of patient wellness and the at least one environmental parameter to assist with patient health care decisions. Other aspects and embodiments are provided herein.

Description

    CROSS REFERENCE TO RELATED APPLICATIONS
  • [0001]
    This application is related to the following commonly assigned U.S. patent applications which are herein incorporated by reference in their entirety: “Method and Apparatus for Establishing Context Among Events and Optimizing Implanted Medical Device Performance,” Ser. No. 10/093,353, filed on Mar. 6, 2002 (Attorney Docket No. 279.364US1); “Advanced Patient Management For Acquiring, Trending and Displaying Health-Related Parameters,” Ser. No. ______, filed on ______ (Attorney Docket No. 279.584US1); “Advanced Patient Management For Defining, Identifying and Using Predetermined Health-Related Events,” Ser. No. ______, filed on (Attorney Docket No. 279.585US1); “Advanced Patient Management For Reporting Multiple Health-Related Parameters,” Ser. No. ______, filed on ______ (Attorney Docket No. 279.586US1); “Advanced Patient Management For Identifying, Displaying And Assisting With Correlating Health-Related Data,” Ser. No. ______, filed on ______ (Attorney Docket No. 279.589US1); “Advanced Patient Management With Composite Parameter Indices,” Ser. No. ______, filed on ______ (Attorney Docket No. 279.590US1); “Advanced Patient Management For Triaging Health-Related Data,” Ser. No. ______, filed on ______ (Attorney Docket No. 279.591US1); and “Advanced Patient Management For Triaging Health-Related Data Using Color Codes,” Ser. No. ______, filed on ______ (Attorney Docket No. 279.612US1).
  • TECHNICAL FIELD
  • [0002]
    This application relates generally to medical devices and, more particularly, to advanced patient management using environmental parameters.
  • BACKGROUND
  • [0003]
    An Implantable Medical Device (IMD) is a medical device designed to be chronically implanted in a human or other organism. Some IMDs include sensors to monitor a patient's condition, and some IMDs have been used to treat a patient. Some examples of IMDs include implantable cardiac rhythm management (CRM) devices such as cardiac pacemakers and implantable cardioverter/defibrillators (ICDs). Other examples of IMDs include a number of monitors or sensors, stimulators and delivery systems for both cardiac-related applications and non-cardiac-related applications.
  • [0004]
    The sensed data from the IMD is capable of being wirelessly communicated to an external device, and the external device is capable of wirelessly programming the IMD. For example, data from an implantable CRM is capable of being wirelessly communicated to a programmer device. Additionally, the programmer is capable of wirelessly communicating with the implantable CRM to program the CRM to perform a desired device function.
  • [0005]
    Due to the potentially large amount of data capable of being sensed by one or more IMDs, it is desired to appropriately process the large amount of sensed data to provide meaningful information. The sensed data alone may not be an accurate indication of the overall health of the patient because other factors can significantly influence the sensed data. Thus, it has been proposed to use patient data from other sources. However, this patient data can compound the problem of providing meaningful data, and still may not provide an accurate indication of the overall health of the patient.
  • SUMMARY
  • [0006]
    The above mentioned problems are addressed by the present subject matter and will be understood by reading and studying the following specification. The present subject matter provides for acquiring health-related parameters from a variety of sources including data provided by an implanted medical device (IMD) and from sources of environmental data.
  • [0007]
    One aspect is an advanced patient management system. In various embodiments, the system includes at least one implantable medical device (IMD) to acquire at least one IMD parameter indicative of patient wellness, means to acquire at least one environmental parameter from at least one external source, and means to correlate the at least one parameter indicative of patient wellness and the at least one environmental parameter to assist with patient health care decisions.
  • [0008]
    One aspect is a device for monitoring a patient's health condition. In various embodiments, the device includes a first data input, a second data input, and a correlation module. In operation, the first data input acquires at least one implantable medical device (IMD) parameter indicative of patient wellness from at least one IMD, the second data input communicates with a source of at least one environmental parameter that is external to the at least one IMD to acquire the at least one environmental parameter, and the correlation module communicates with the first communication module and the second communication module and correlates the at least one IMD parameter and the at least one environmental parameter.
  • [0009]
    One aspect is a programmable device having machine executable instructions for performing a method to assist with patient healthcare decisions. In various embodiments, at least one health-related parameter is acquired from at least one implantable medical device (IMD). At least one environmental parameter is acquired from a source external to the at least one IMD. The at least one health-related parameter is synthesized with the at least one environmental parameter.
  • [0010]
    These and other aspects, embodiments, advantages, and features will become apparent from the following description and the referenced drawings.
  • BRIEF DESCRIPTION OF THE DRAWINGS
  • [0011]
    [0011]FIG. 1 illustrates an advanced patient management (APM) system according to various embodiments of the present subject matter.
  • [0012]
    [0012]FIG. 2 illustrates an advanced patient management (APM) system according to various embodiments of the present subject matter.
  • [0013]
    [0013]FIG. 3 illustrates an advanced patient management (APM) system having direct communication links according to various embodiments of the present subject matter.
  • [0014]
    [0014]FIG. 4 illustrates an advanced patient management (APM) system having network communication links according to various embodiments of the present subject matter.
  • [0015]
    [0015]FIG. 5 illustrates an advanced patient management (APM) system having network communication links according to various embodiments of the present subject matter.
  • [0016]
    [0016]FIG. 6 illustrates a perspective view of an advanced patient management (APM) system that includes an IMD and a portable device such as a PDA.
  • [0017]
    [0017]FIG. 7 illustrates a perspective view of an advanced patient management (APM) system that includes an IMD, a portable device such as a PDA, and another wellness monitoring device, such as a programmer for the IMD, networked to the PDA.
  • [0018]
    [0018]FIG. 8 illustrates a perspective view of an advanced patient management (APM) system that includes an IMD, a portable device such as a PDA, and another wellness monitoring device, such as a programmer for the IMD, directly connected to the PDA.
  • [0019]
    [0019]FIG. 9 illustrates a block diagram of an IMD according to various embodiments of the present subject matter.
  • [0020]
    [0020]FIG. 10 illustrates a block diagram of a wellness monitoring device, such as a portable device, according to various embodiments of the present subject matter.
  • [0021]
    [0021]FIG. 11 illustrates various embodiments of a wellness monitoring device (WMD) in the form of a general-purpose computing device.
  • [0022]
    [0022]FIG. 12 illustrates a block diagram of an advanced patient management system for acquiring, trending and displaying multiple health-related parameters according to various embodiments of the present subject matter.
  • [0023]
    [0023]FIG. 13 illustrates a block diagram of a wellness trending display generally illustrating parameter trends available for display according to various embodiments of the present subject matter.
  • [0024]
    [0024]FIG. 14 illustrates a block diagram of a wellness trending display illustrating an arrangement for selecting and displaying parameter trends according to various embodiments of the present subject matter.
  • [0025]
    [0025]FIG. 15 illustrates an example of a wellness trending display.
  • [0026]
    [0026]FIG. 16 illustrates a block diagram according to various aspects of the present subject matter in which a diagnostic context is provided to assist with interpreting the health condition of the patient, and to appropriately adjust the device and/or medical therapy, accordingly.
  • [0027]
    [0027]FIG. 17 illustrates a method for managing a patient's health by defining, detecting and using predetermined health-related events, according to various embodiments of the present subject matter.
  • [0028]
    [0028]FIG. 18 illustrates a device (such as a WMD or IMD) for monitoring a patient's health condition that is capable of detecting predetermined health-related events, according to various embodiments of the present subject matter.
  • [0029]
    [0029]FIG. 19 illustrates a wellness monitoring device (WMD) for monitoring a patient's health condition that is capable of detecting predetermined health-related events, according to various embodiments of the present subject matter.
  • [0030]
    [0030]FIG. 20 illustrates a method for reporting multiple parameters related to a health condition of a patient, according to various embodiments of the present subject matter.
  • [0031]
    [0031]FIG. 21 illustrates a device (such as a WMD or IMD) for monitoring a patient's health condition that is capable of prioritizing communication of health-related parameters, according to various embodiments of the present subject matter.
  • [0032]
    [0032]FIG. 22 illustrates a device (such as a WMD or IMD) for monitoring a patient's health condition that is capable of synthesizing environmental parameters with IMD parameters, according to various embodiments of the present subject matter.
  • [0033]
    [0033]FIG. 23 illustrates a device (such as a WMD or IMD) for monitoring a patient's health condition that is capable of correlating trended parameters, predetermined events, and alerts, according to various embodiments of the present subject matter.
  • [0034]
    [0034]FIG. 24 illustrates a method to generate composite parameters for use in managing a patient's health, according to various embodiments of the present subject matter.
  • [0035]
    [0035]FIG. 25 illustrates a method to generate composite parameters for use in managing a patient's health, according to various embodiments of the present subject matter.
  • [0036]
    [0036]FIG. 26 illustrates a device (such as a WMD or IMD) for monitoring a patient's health condition that is capable of generating composite parameters, according to various embodiments of the present invention.
  • [0037]
    [0037]FIG. 27 illustrates a method to triage predetermined events for use in managing a patient's health, according to various embodiments of the present subject matter.
  • [0038]
    [0038]FIG. 28 illustrates a device (such as a WMD or IMD) for monitoring a patient's health condition that is capable of classifying a number of predetermined events according to severity, and performing a system action based on the classification, according to various embodiments of the present subject matter.
  • DETAILED DESCRIPTION OF THE INVENTION
  • [0039]
    The following detailed description refers to the accompanying drawings which show, by way of illustration, specific aspects and embodiments in which the present subject matter may be practiced. These embodiments are described in sufficient detail to enable those skilled in the art to practice the present subject matter. Other embodiments may be utilized and structural, logical, and electrical changes may be made without departing from the scope of the present subject matter. The various embodiments disclosed herein are not necessarily mutually exclusive, as some disclosed embodiments can be combined with one or more other disclosed embodiments to form new embodiments. The following detailed description is, therefore, not to be taken in a limiting sense, and the scope of the present subject matter is defined only by the appended claims, along with the full scope of equivalents to which such claims are entitled.
  • [0040]
    The present subject matter provides a system to assist with monitoring the overall health of patients, and thus to assess and treat health conditions, using environmental parameters. In various embodiments, a clinician such as a physician monitors the patient's health. In various embodiments, the system includes an implantable medical device (IMD) which is capable of sensing various health-related parameters (also referred to herein as internal health-related parameters) indicative of a health condition. The IMD includes one or more IMD sensors to sense one or more desired internal health-related parameters. In various embodiments, the IMD is capable of providing therapy to treat the health condition. In various embodiments, the system includes an external health data source that includes other health-related parameters (also referred to herein as external health-related parameters). The external health-related parameters (such as environmental parameters) can influence the sensed internal health-related parameters. Thus, a combination of internal and external health-related parameters can provide a more accurate view of the patient's health.
  • [0041]
    In various embodiments, the system includes a user input to collect health-related information that is contributed voluntarily by a user (such as a patient, clinician or other user). This user-volunteered information is an example of external human-resource parameters and is able to be more subjective in nature (compared to the internal health-related parameters determined by sensors or other external health-related parameters such as databases and external sensors), and thus is useful to identify other information that can influence the other health-related parameters. The present subject matter acquires internal and/or external health-related parameters from one or more of these sources, trends the parameters, and displays the trended parameters in a useful manner on a wellness monitoring device to assist with accurately assessing and treating a patient's health condition. As such, the present subject matter is capable of providing a diagnostic context used to interpret the health condition of the patient, and to appropriately adjust the device and/or medical therapy, accordingly.
  • [0042]
    A large number of health-related parameters are capable of being acquired, trended and displayed according to various embodiments of the present subject matter. For example, a non-exhaustive list of health-related parameters includes heart rate/rhythm including ventricular tachycardia and fibrillation, conduction intervals, ectopic density, atrial fibrillation (AF)/atrial tachycardia (AT) percent, heart rate variability (HRV), activity, lead position, concomitant conditions, temperature, blood pressure, respiration rate/rhythm, pulmonary/peripheral edema, posture, blood gases, stroke volume contractility, filling time, heart sounds, weight, ischemia, cardiac output, after load, medications, device indications, and electromyogram. Other examples of health-related parameters are provided throughout this disclosure.
  • [0043]
    These health-related parameters are capable of being acquired from a number of data sources. For example, a non-exhaustive list of data sources include IMDs, external device sensors, medication usage monitors, databases, and user inputs by a clinician and/or patient. An IMD, for example, is capable of providing health-related parameters for rhythms, conduction delays, respiration, activity, heart sounds, posture, and the like. External device measurements, for example, are capable of providing health-related parameters for weight, blood pressure, echo pulse oximetry, peripheral edema, and the like. Other examples of IMD health-related parameters and external health-related parameters are provided throughout this disclosure. A physician, for example, is capable of providing health-related parameters for lead positions, indications(s), medications, concomitant conditions, and the like. A medical database, for example, is capable of providing health-related parameters from external device measurements and physician input for medical tests and a large number and a large variety of other parameters. A patient, for example, is capable of providing health-related parameters for diet, medication usage, symptoms, blood pressure, and the like. As technology continues to improve, more and more health-related parameters will be automatically acquired using, for example, an IMD rather than using an external interactive system.
  • [0044]
    In various embodiments of the present subject matter, the APM system performs various methods related to managing a patient's health. The APM system includes a number of programmable devices with a machine-readable medium having machine-executable instructions. The programmable devices(s) perform the machine-executable instructions to perform the method. In various embodiments, the programmable device includes a processor to perform the machine-executable instructions. In various embodiments, the machine-executable instructions are provided on one or more machine-readable mediums (or media).
  • [0045]
    [0045]FIG. 1 illustrates an advanced patient management system according to various embodiments of the present subject matter. Various embodiments of the system 100 include less than all of the components shown in FIG. 1, and various embodiments of the system 100 include other components than those shown in FIG. 1.
  • [0046]
    A patient 101 is illustrated with an implantable medical device (IMD) 102. Generally, the IMD includes one or more IMDs that provide internal therapy and/or acquire or sense internal data parameters. In various embodiments, the IMD is a CRM device that provides cardiac rhythm management pulsing and also senses one or more physiological parameters of a heart. Other IMDs that sense parameters and/or provide therapy, including various electrical and drug therapy, are within the scope of the present subject matter.
  • [0047]
    In various embodiments, at least one IMD 102 provides internal data such as heart rhythm, breathing, and activity. Other types of data derived from IMDs are also contemplated. For example, in one embodiment, a respiration sensor is implanted into patient and communicates with portable device. Data received from such IMDs may be perceived as involuntary, or passive, data since the patient has no control over the process of collecting and transmitting the data from such sources. In various embodiments, IMD-provided data includes parameters sensed by the IMD and/or parameters provided by interrogating the IMD to obtain device performance status.
  • [0048]
    The illustrated system also includes one or more external data source(s) 103 that provide health-related parameters. The external health-related parameters supplement the internal parameters and/or provide a diagnostic context to the internal health-related parameters. Examples of external source(s) of health data include: external sensing devices such as body temperature thermometers, blood pressure monitors, and the like; room temperature thermometers, light sensors and the like; databases such as patient history databases that are found hospitals or clinics and that may include information such as medical test results and family history; a web server database (a database accessible through a global communication network—e.g. Internet) that may include information regarding environment, medication interaction, and the like; databases and/or user inputs regarding mental/emotional and diet parameter types; and other external data sources capable of providing health-related parameters. One definition of the term mental is something that is of or relates to the mind. One definition of the term emotional is a strong feeling, aroused mental state, or intense state of drive or unrest, which may be directed toward a definite object and is evidenced in both behavior and in psychologic changes, with accompanying autonomic nervous system manifestations.
  • [0049]
    The illustrated system also includes a user input 104 through which a user is able to input additional health-related parameters for use by a wellness monitoring device (WMD) 105. In various embodiments, the user input 104 includes a touch screen on a PDA or other device, a keyboard and mouse on a computer, and the like. In various embodiments, a patient is able to input additional health-related parameters for use by the wellness monitoring device. In various embodiments, a clinician is able to input additional health-related parameters for use by the WMD.
  • [0050]
    The WMD 105 is illustrated by dotted line, and includes one or more devices. In various embodiments, the at least one IMD 102 communicates wirelessly with at least one WMD 105, as shown by communication link 106. In various embodiments that include multiple WMDs, the WMDs are able to communicate with each other, as shown via communication link 107. In various embodiments, the WMD(s) includes portable devices 108 that are external to the body of patient such as a PDA, (variously referred to as a personal digital, or data, assistant), a portable telephone (including a cellular telephone or a cordless telephone), a pager (one way or two way), a handheld, palm-top, laptop, portable or notebook computer, or other such battery operated portable communication device. IN various embodiments, the WMD(s) includes programmers. In various embodiments, the WMD(s) includes various non-portable devices such as larger computers or computer enterprise systems.
  • [0051]
    In various embodiments of the present subject matter, the WMD 105 (which includes one or more devices) includes a display on which parameter trends are capable of being displayed. In various embodiments, the portable device 108 includes a touch-sensitive display screen for displaying information to a user or patient. Depending on the application executing on the portable device 108, the display screen may provide prompts, messages, questions, or other data designed to elicit an input from patient. Examples of such prompts are provided in the patent application entitled “Method and Apparatus for Establishing Context Among Events and Optimizing Implanted Medical Device Performance,” Ser. No. 10/093,353, filed on Mar. 6, 2002, which has previously been incorporated by reference in its entirety. Data received from such interactive prompts may be perceived as voluntary, or active, data since the cooperation and active input of the patient is part of the data collection process. In various embodiments, the user input data may be received from a user based on a prompt provided to the user, on an ad hoc basis as determined by the user, or as determined by a processor. The user may enter data using a menu based system, a graphical user interface (GUI), textual data or numerical data.
  • [0052]
    The WMD provides analysis of internal and external (both voluntary and involuntary) parameters. In various embodiments, the WMD includes computer and programming that conducts data analysis suitable for use in managing patient health and medical care.
  • [0053]
    [0053]FIG. 2 illustrates an advanced patient management (APM) system according to various embodiments of the present subject matter. Various embodiments of the system 200 include all of the components shown in FIG. 2, various embodiments of the system 200 include less than all of the components shown in FIG. 2, and various embodiments of the system 200 include other components than those shown in FIG. 2.
  • [0054]
    In the figure, the system 200 is shown to include an IMD 202. In various embodiments, the IMD includes an implantable cardiac device (ICD), cardiac rhythm management (CRM) device, pulse generator, or other implanted medical device that provides therapy to a patient or an organ of a patient, and/or that provides data derived from measurements internal to a patient. In various embodiments, the IMD includes a device to provide drug therapy.
  • [0055]
    The illustrated system 200 includes at least one WMD 205 that includes at least one display for displaying trended parameters. In the illustrated system, the at least one WMD includes a portable device 208 (such as a PDA) and a programmer 209. The IMD 202 is shown coupled to the portable device 208 by communication link 210. The portable device is further coupled to the programmer by communication link 207. Various embodiments of the present subject matter do not include the portable device 208. In these embodiments, the IMD 202 is able to be coupled directly to the programmer 209 by a communication link (not shown).
  • [0056]
    At least one external data source 203 (such as web server(s), database(s), and sensor(s)) is coupled to the WMD(s) via at least one communication link. The external data source 203 provides external (with respect to the IMD in the patient) health-related parameters that supplement and/or provide context for the IMD parameters. In the illustrated system, a communication link 211 exists between the portable device 208 and the external data source 203, and a communication link 212 exists between the programmer 209 and the external data source 203. It is noted that various applications may not require both communication links 211 and 212. In the illustration, the system 200 includes at least one user input 204 to the at least one WMD 205. For example, a patient is able to provide health-care information using the portable device 208, and a health care provider is capable of providing health-care information using the programmer 209.
  • [0057]
    In various embodiments, the IMD also includes circuitry and programming adapted to monitor the condition and performance of the pulse generator or other IMD. For example, in various embodiments, the IMD provides data concerning the remaining battery condition for a power supply coupled to the IMD. Such data may include information regarding remaining battery capacity or life, battery internal resistance or other measurable parameters. In various embodiments, the data includes information regarding the electrical therapy provided by the IMD. For example, in various embodiments, such data includes lead impedance, sense voltage levels, therapy history, and device therapy mode settings and parameter values. In various embodiments, the IMD provides data regarding dosage, timing and other functions regarding the delivery of a drug therapy or other therapy. For example, in various embodiments, the IMD monitors blood sugar levels and the amount and timing of insulin delivered to the patient.
  • [0058]
    In various embodiments, the IMD includes a program executing on an internal processor that controls the operation of the IMD. The program instructions reside in a memory accessible to the internal processor. By changing the program, or memory contents, the present system allows the operating program of the IMD to be dynamically tailored to a particular patient or condition. In various embodiments, the operating system, or memory contents of the IMD is changed using wireless communication.
  • [0059]
    In various embodiments, the IMD includes a wireless transceiver. The transceiver operates using radio frequency transmissions, electromagnetic transmissions, magnetic coupling, inductive coupling, optical coupling, or other means of communicating without need of a wire connection between the IMD and another transceiver.
  • [0060]
    In various embodiments, the IMD performs a data acquisition function. In various embodiments, the IMD is adapted to monitor a fluid pressure, such as blood or urine. In various embodiments, the detector is adapted to monitor respiration, stress level, or other measurable biometric parameter. In various embodiment, monitoring includes determining an absolute or relative value for a particular biometric parameter. In various embodiments, internal memory within the IMD stores a comparison value which may then be compared with a measured value thereby determining the performance of the IMD or the health of the patient.
  • [0061]
    In various embodiments, the communication link includes a wireless communication link between the IMD and portable device. The communication link allows communication in one or two directions.
  • [0062]
    In various embodiments, data from the IMD is communicated to portable device with no data transmitted from portable device to the IMD. In this manner, portable device functions as a data storage facility for the IMD. In various embodiments, data stored in portable device is accessed by a treating physician and used for diagnosis, therapy or other purposes. Programming and controlling the operation of the IMD is performed using a programmer adapted to transmit commands, data or code to the IMD. In various embodiments, portable device executes programming to analyze and process the data received from the IMD. In various embodiments, communication link precludes transfer of data from portable device to the IMD or precludes transfer of data from the IMD to portable device. For example, it may be desirable in certain circumstances to prevent the portable device from executing programming to automatically adjust the performance or operation of the IMD independent of a programmer.
  • [0063]
    In various embodiments, data is communicated from portable device to the IMD with no data transmitted from the IMD to portable device. In this manner, portable device functions as an interface to communicate commands, data or code to the IMD. In various embodiments, data is communicated from the IMD to the portable or external device with no data transferred from the device to the IMD.
  • [0064]
    In various embodiments, data is communicated bidirectionally between the IMD and the portable device. In various embodiments, the communication link between the IMD and the portable device entails a single bidirectional communication channel or includes multiple unidirectional communication channels which, when viewed as a whole, provide bidirectional communication. In various embodiments, a unidirectional communication channel operates using a particular frequency or communication protocol. For example, the link may include a wireless radio frequency link compatible with a transmitter and receiver that uses frequency hopping, spread spectrum technology.
  • [0065]
    In various embodiments, internal memory within the IMD provides storage for data related to the IMD-provided therapy (such as CRM therapy provided to a heart). For example, the data can relate to the electrical, chemical or mechanical operation of the heart. In addition, the IMD includes memory for programming, comparison and other functions. In various embodiments, the contents of the memory regulates the operation of the IMD.
  • [0066]
    In various embodiments, the portable device 208 includes or otherwise is incorporated or in communication with a battery operated portable communicator having a processor, memory, and an output interface to communicate with a user and an input interface to receive user entered data. One suitable example of a portable communicator is that of a personal digital assistant (PDA). PDA devices typically include a display screen for presenting visual information to a user and a writing surface for entry of data using a stylus. Data can be entered using a keyboard coupled to the portable communicator or by means of a wired or wireless communication link. Some portable communicator models also include an audio transducer, or sound generator, adapted to produce sounds that are audible by a user. In various embodiment, data from the IMD or the programmer is displayed on a display or screen of the portable device.
  • [0067]
    In various embodiments, the portable device 208 includes or otherwise is incorporated or in communication with a portable telephone (such as a cellular telephone or a cordless telephone), a pager (one way or two way), or a computer (such as a handheld, palm-top, laptop, or notebook computer) or other such battery operated, processor based, portable communication device.
  • [0068]
    In various embodiments, the portable device 208 includes data storage and includes programming and instructions to conduct data processing. In various embodiments, the data storage capacity of the portable device 208 augments the data storage capacity of the IMD 202, thus enabling a clinician to access a greater amount of multi-related information regarding the medical condition of a user. For example, but not by way of limitation, the additional information may assist in discovering and understanding relationships among different events.
  • [0069]
    In various embodiments, a wireless receiver is coupled to a portable device for purposes of receiving data from the IMD 202 through communication link 210. In various embodiments, a wireless transmitter is coupled to the portable device for purposes of transmitting data to the IMD. In various embodiments, a wireless transceiver is coupled to the portable device for purposes of both transmitting data to, and receiving data from, the IMD. In various embodiments, the portable device includes telemetry to facilitate wireless communications.
  • [0070]
    In various embodiments, circuitry or programming allows the portable device 208 to trigger an alarm under predetermined conditions. In various embodiments, for example, the portable device sounds an audible alarm or transmits an alarm signal if a biometric parameter exceeds a particular value or is outside a specified range of values. The alarm signal can be received by the programmer 209 or a designated physician.
  • [0071]
    Communication link 207 couples the portable device 208 with the programmer 209. In various embodiments, communication link 207 includes a wired or wireless link that allows data communication between portable device and the programmer. In various embodiments, data is exchanged between portable device and the programmer by means of a removable storage media.
  • [0072]
    In various embodiments, the programmer 209 includes a processor based apparatus that executes programming to communicate with the IMD 202, the portable device 208, or both. A clinician (e.g. physician) can operate the programmer to communicate with the IMD using 202 portable device as a data interface. In particular, various embodiments provide that data from the IMD 202 can be retrieved by accessing the memory of portable device 208. In various embodiments, the programmer 209 transmits data to the IMD 202 via the portable device 208.
  • [0073]
    In various embodiments, at least one of the WMDs includes a display. FIG. 2 illustrates a system in which the portable device 208 includes a display and the programmer 209 includes a display. According to various embodiments of the present subject matter, health-related parameters are displayed on the display(s) of the wellness monitoring device(s). In various embodiments, these health-related parameters are acquired via an IMD and/or via an external source such as user input and/or external health data sources such as databases and the like. According to various embodiments of the present subject matter, trended health-related parameters, predetermined events, alerts and/or other information provided in this disclosure are displayed on the wellness monitoring device(s).
  • [0074]
    [0074]FIG. 3 illustrates an advanced patient management (APM) system having direct communication links according to various embodiments of the present subject matter. According to various embodiments of the system 300, the communication links include wired links, wireless links or both wired and wireless links. Various embodiments include all of the components shown in FIG. 3, various embodiments include less than all of the components shown in FIG. 3, and various embodiments include other components than those shown in FIG. 3.
  • [0075]
    The illustrated system 300 includes at least one IMD 302, at least one external source of health data 303, and at least one WMD 305 with a display 313. The illustrated system includes a user input 304 to communicate with the WMD. The illustrated system includes a communication link 314 between the IMD(s) 302 and the external source(s) of health-related data 303, a communication link 315 between the external source(s) of health-related data 303 and the WMD(s) 305, and a communication link 316between the IMD(s) 302 and the WMD(s) 305. It is noted that various embodiments include less than all of the communication links. For example, in various embodiments data from the external source(s) of health data is not communicated to IMD(s) through link 314, and in various embodiments data from the external source(s) of health data is communicated to the wellness monitor device(s) through the IMD(s) and links 314 and 316. Various embodiments implement various communication designs to achieve various data flow.
  • [0076]
    In various embodiments, the display 313 of the WMD(s) is used to display trended parameters, such as internal parameters from the IMD(s) and external parameters for the external source(s) of health-related data. Other information can be displayed, as is provided throughout the disclosure. Furthermore, a user is able to input additional external health-related information via user input. In various embodiments, the WMD(s) include a portable device such as a PDA, laptop computer, cell phone, and the like. In various embodiments, the WMD(s) include other external devices such as bedside monitors, desktop computers, IMD programmers, and the like.
  • [0077]
    [0077]FIG. 4 illustrates an advanced patient management (APM) system having network communication links according to various embodiments of the present subject matter. According to various embodiments, the communication links include wired links, wireless links or both wired and wireless links. Various embodiments include all of the components shown in FIG. 4, various embodiments include less than all of the components shown in FIG. 4, and various embodiments include other components than those shown in FIG. 4.
  • [0078]
    The illustrated system 400 includes at least one IMD 402, at least one external source of health data 403, at least one WMD 405 with a display 413, and at least one network infrastructure through which the other devices (also referred to within this discussion as network devices) are capable of communicating. The illustrated system includes a user input 404 to communicate with the WMD 405. In various embodiments, the WMD(s) includes a portable device such as a PDA, laptop computer, cell phone, and the like. In various embodiments, the wellness monitor device(s) include other external devices such as bedside monitors, desktop computers, IMD programmers, and the like. Examples of a network communication link includes, but is not limited to, one or more of the following: cellular telephone coupled to a portable device via the Internet, a private area branch exchange (PABX, also known as a PBX); an intranet network; an ethernet connection or other remote communication means.
  • [0079]
    The illustrated system includes a communication link between the IMD(s) 402 and the external source(s) of health-related data 403 via the network 417, a communication link between the external source(s) of health-related data 403 and the WMD(s) 405 via the network 417, and a communication link between the IMD(s) and the WMD(s) 405 via the network 417. The illustrated system includes a network interface or adapter 418. The network adapter 418 wirelessly communicates with the IMD 402 via communication link 419, and communicates with network devices through network via communication link 420. Although not expressly, other network devices include a network interface.
  • [0080]
    Various embodiments include a direction communication link as illustrated in FIG. 3 and a network communication link as illustrated in FIG. 4. The display of the WMD(s) is used to display trended parameters, such as internal health-related parameters from the IMD(s) and external health-related parameters for the external source(s) of health-related data. Furthermore, a user is able to input additional external health-related information via user input.
  • [0081]
    [0081]FIG. 5 illustrates an advanced patient management (APM) system having network communication links according to various embodiments of the present subject matter. Various embodiments include all of the components shown in FIG. 5, various embodiments include less than all of the components shown in FIG. 5, and various embodiments include other components than those shown in FIG. 5.
  • [0082]
    The illustrated system 500 includes at least one IMD 502, at least one external source of health data 503, at least one WMD 505 with a display 513, and at least one network infrastructure 517 through which the other devices (also referred to within this discussion as network devices) are capable of communicating. The illustrated system 500 also includes direct communication connections 521 between the IMD(s) 502 and the external source(s) of the health data 503, and between the WMD(s) 505 and the IMDS(s) 502. One of ordinary skill in the art will understand, upon reading and comprehending this disclosure, that various embodiments include some direct communication connections between some components and include some network communication connections between some components.
  • [0083]
    The illustrated external source(s) of health data 503 include at least one external sensing device 522 such as a body temperature or blood pressure monitor, at least one patient history database 523, at least one web server 524, and other external sources 525. Various embodiments of the present subject matter include one or more of the illustrated external sources of health data. The illustrated WMD(s) includes a programmer 509 with a display, a portable device 508 (such as a PDA or laptop computer) with a display, or other WMD(s) 526 with a display. Various embodiments of the present subject matter include one or more of the illustrated WMDs.
  • [0084]
    [0084]FIG. 6 illustrates a perspective view of an advanced patient management (APM) system that includes an IMD 602 and a portable device 608 such as a PDA. The illustrated portable device 608 includes a display screen 627, a plurality of user operable buttons 628, and an expansion port 629 which receives and is coupled to an expansion device 630 that is designed to communicate with the IMD 602. In various embodiments, a specially designed portable device is employed with an integrated communication subsystem. A stylus 631 can be used to manually enter data using screen. Link 606 is illustrated as a bidirectional link and thus, data from IMD 602 is wirelessly telemetered to the portable device 608 through the expansion device 630. In addition, data, or programming from the portable device 608 is wirelessly telemetered from the expansion device 630 to the IMD 602.
  • [0085]
    According to various embodiments, the portable device (such as the illustrated PDA) generates a prompt at various times calling for a response in the form of a user input. A user may enter data using any of a variety of means. For example, a response may be entered using stylus, buttons, or an external keyboard. In one embodiment, portable device responds to voice commands received from a user. A prompt may be visually displayed using screen or audibly generated using an internal sound generator. Manually entered data received from a user, as well as data received from other inputs is stored using the portable device. The data stored in the portable device is available for processing, and to tailor the therapy.
  • [0086]
    In addition to data entry, the portable device 608 provides a user with limited control over the operation of an IMD 602 in various embodiments. In various embodiments, reasonable constraints on the authority to change the operation of IMD are established and implemented by a clinician.
  • [0087]
    [0087]FIG. 7 illustrates a perspective view of an advanced patient management (APM) system that includes an IMD 702, a portable device 708 such as a PDA, and another WMD 732, such as a programmer for the IMD, networked to the PDA. The illustrated portable device includes a wireless communication antenna 733. In various embodiments, the portable device 708 is adapted for wireless access to Internet network using link 734. In various embodiments, link 734 includes a radio frequency communication link. The programmer accesses the Internet via link 735. In various embodiments, 735 link includes a dial-up modem connection, a cable modem connection, a DSL connection, an ISDN line, or other channel providing access to the Internet.
  • [0088]
    A user is able to compile contextual information regarding IMD 702, as well as himself, using the portable device 708. In various embodiments, a clinician using the programmer 732 is able to remotely access the data stored in the portable device 708 using link 735, Internet and link 734. In this manner, programmer 732 is able to wirelessly receive the data, process the data, and transmit data and code to change the future operation of the IMD 702.
  • [0089]
    [0089]FIG. 8 illustrates a perspective view of an advanced patient management (APM) system that includes an IMD 802, a portable device such as a PDA 808, and another WMD 832, such as a programmer for the IMD, directly connected to the PDA. The PDA is coupled to IMD by wireless link 836, and is further coupled to programmer by link 837 (illustrated as a communication cable).
  • [0090]
    A clinician operating programmer 832 is able to exchange data or code with the PDA 808 using link 837. Connector is a multi-conductor connector providing access to data of the PDA. It will be appreciated that link may couple the PDA to a local area network or other communication network. For example, the PDA may be connected to a public switched telephone network (PSTN) link, and thus, programmer may exchange data with portable communicator using a modem coupled to PSTN.
  • [0091]
    [0091]FIG. 9 illustrates a block diagram of an IMD according to various embodiments of the present subject matter. The illustrated IMD 902 includes a processor 938, memory 939, an update module 940 and a transceiver 941. In operation, the processor governs the operation of IMD and executes programming stored in memory. In addition to the executable program, memory also includes data storage regarding the patient and IMD. The update module operates in conjunction with processor, memory and transceiver to receive, install, and execute new instructions for execution by processor.
  • [0092]
    [0092]FIG. 10 illustrates a block diagram of a WMD, such as a portable device, a programmer and the like, according to various embodiments of the present subject matter. The illustrated WMD 1005 includes long term data storage 1042, an input/output 1043, a controller 1044, an IMD transceiver 1045, a communication interface 1046 and a display 1047. The long term data storage augments the data storage capacity of the memory of the IMD. In various embodiments, the storage is of a greater capacity than that of memory, is physically larger in size, and is less expensive and more robust than medical grade implantable memory.
  • [0093]
    The input/output, the IMD transceiver and the communication interface, in conjunction with the controller enables receipt and transmission of data from the IMD as well as data from other sources such as other WMDs, databases and the like. The IMD transceiver provides a wireless communication link between the IMD and the portable device. The display is used to, among other things, display parameters that have been acquired and trended by the system according to the present subject matter.
  • [0094]
    [0094]FIG. 11 provides a brief, general description of a suitable computing environment in which the above embodiments may be implemented. The illustrated computing environment, or portions thereof, can be implemented in a WMD. Additionally, portions of the illustrated computing environment (such as the system memory and processor) can be implemented in IMDs.
  • [0095]
    Embodiments of the present subject matter can be described in the general context of computer-executable program modules containing instructions executed by a computing device. The term module includes hardware, firmware, software, and various combinations thereof to perform task(s) described in this disclosure, as is understood by one of ordinary skill in the art upon reading and comprehending this disclosure. Program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. Those skilled in the art will appreciate that the invention may be practiced with other computer-system configurations, including hand-held devices, multiprocessor systems, microprocessor-based programmable consumer electronics, network PCs, minicomputers, mainframe computers, and the like which have multimedia capabilities. The invention may also be practiced in distributed computing environments where tasks are performed by remote processing devices linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote memory storage devices.
  • [0096]
    [0096]FIG. 11 illustrates various embodiments of a WMD in the form of a general-purpose computing device. One of ordinary skill in the art will understand, upon reading and comprehending this disclosure, how to implement the present subject matter using other WMDs and IMDs with some of the illustrated components or other components.
  • [0097]
    The illustrated computing device 1148 includes a processing unit 1149, a system memory 1150, and a system bus 1151 that couples the system memory and other system components to processing unit. The system bus may be any of several types, including a memory bus or memory controller, a peripheral bus, and a local bus, and may use any of a variety of bus structures. The system memory includes read-only memory (ROM) and random-access memory (RAM). A basic input/output system (BIOS), stored in ROM, contains the basic routines that transfer information between components of personal computer. BIOS also contains start-up routines for the system. Various embodiments of the computing device further include a hard disk drive for reading from and writing to a hard disk (not shown), a magnetic disk drive for reading from and writing to a removable magnetic disk, and an optical disk drive for reading from and writing to a removable optical disk such as a CD-ROM or other optical medium. Hard disk drive, magnetic disk drive, and optical disk drive are connected to system bus by a hard-disk drive interface, a magnetic-disk drive interface, and an optical-drive interface, respectively. The drives and their associated computer-readable media provide nonvolatile storage of computer-readable instructions, data structures, program modules and other data for the computing device. Those skilled in the art will appreciate that other types of computer-readable media which can store data accessible by a computer may also be used.
  • [0098]
    Program modules can be stored on the hard disk, magnetic disk, optical disk, ROM and RAM. Program modules may include operating system, one or more application programs, other program modules, and program data. A user may enter commands and information into personal computer through input devices such as a keyboard and a pointing device. These and other input devices are often connected to the processing unit through a serial-port interface coupled to system bus; but they may be connected through other interfaces not shown in FIG. 11, such as a parallel port or a universal serial bus (USB). A monitor or other display device also connects to system bus via an interface such as a video adapter. In addition to the monitor, personal computers typically include other peripheral output devices (not shown) such as speakers and printers. In one embodiment, one or more speakers or other audio output transducers are driven by sound adapter connected to system bus.
  • [0099]
    In various embodiments the computing device operates in a networked environment using logical connections to one or more remote devices such as remote computer. Examples of remote computers include a personal computer (PC), a server, a router, a network PC, a peer device, or other common network node. In various embodiments, the remote computer includes many or all of the components described above in connection with the computing device; however, only a storage device is illustrated in FIG. 11 to simplify the disclosure. The logical connections depicted in FIG. 11 include local-area network (LAN) and a wide-area network (WAN). Such networking environments exist in offices, enterprise-wide computer networks, intranets and the Internet. The computing device connects to local network through a network interface or adapter in various embodiments, and to a WAN/Internet network through a modem or other means for establishing communications over network.
  • [0100]
    Various embodiments of the present subject matter are illustrated in FIGS. 12-27 and are discussed below. One of ordinary skill in the art will understand, upon reading and comprehending this disclosure, that these embodiments are not necessarily mutually exclusive as various embodiment can be combined or otherwise modified to create other embodiments. One of ordinary skill in the art also will understand, upon reading and comprehending this disclosure, that various elements shown and described with respect to one or more of FIGS. 1-11 are capable of being combined with various elements shown and described with respect to one or more of FIGS. 12-27.
  • [0101]
    Acquisition Trending and Displaying Health-Related Parameters
  • [0102]
    FIGS. 12-16 illustrate various embodiments of the present subject matter related to acquiring, trending and displaying health-related parameters. In various embodiments, an IMD acquires, trends and displays a variety of parameters pertinent to the health status of a patient.
  • [0103]
    [0103]FIG. 12 illustrates a block diagram of a device for acquiring, trending and displaying multiple health-related parameters according to various embodiments of the present subject matter. The device 1252 acquires available parameters from available sources. In various embodiments, the device 1252 includes a WMD such as a portable device, a programmer and the like. In various embodiments, the device 1252 includes an IMD. For example, potentially available sources include an IMD parameter collection 1253 (internal health-related parameters such as internal physiological measurements, applied therapy, device performance, and the like), an external parameter collection 1254 (external parameters such as external physiological and environmental measurements, databases, and the like), and a user input parameter collection 1255 (voluntary data). User inputs can be considered to be an external health-related parameter. However, for purposes of the description with respect to FIG. 12, external parameter collection and user input parameter collection are considered separately.
  • [0104]
    In various embodiments, the IMD parameter collection 1253 includes at least one of a physical parameter type, a physiological/pathological parameter type, a mental/emotional parameter type, a diet parameter type, an environmental parameter type, a symptom parameter type, and a medical compliance type. In various embodiments, the IMD is gathers information from an external device or sensor in order to gather certain parameter types. Furthermore, the IMD is capable of acquiring medication compliance by monitoring a measurable parameter correlated to compliance. For example, blood pressure is monitored to verify that a patient is compliant with hypertensive medications. The IMD is also capable of acquiring environmental data, such as barometric pressure using an implanted pressure sensor and such as relative temperature changes using an implanted temperature sensor near the surface of the skin.
  • [0105]
    One definition of mental is of or relating to the mind. One definition of emotional is relating to or marked by an emotion (a strong feeling, aroused mental state, or intense state of drive or unrest, which may be directed toward a definite object and is evidenced in both behavior and in psychologic changes, with accompanying autonomic nervous system manifestations). One definition of physiological is normal, as opposed to pathologic. One definition of pathological is diseased. Other definitions can be used consistently with respect to these terms.
  • [0106]
    In various embodiments, the external parameter collection 1254 includes one or more of a mental/emotional parameter type, an environmental parameter type and a diet parameter type. In various embodiments, the external parameter collection 1254 includes a physical parameter type, a physiological/pathological parameter type, a symptom parameter type, and/or a medication compliance parameter type. The external parameter collection can include any one or any combination of the above parameter types according to embodiments of the present subject matter.
  • [0107]
    In various embodiments, the user input parameter collection 1255 includes one or more of a mental/emotional parameter type, an environmental parameter type and a diet parameter type. In various embodiments, the user input parameter collection 1255 includes a physical parameter type, a physiological/pathological parameter type, a symptom parameter type, and/or a medication compliance parameter type. The user input parameter collection can include any one or any combination of the above parameter types according to embodiments of the present subject matter.
  • [0108]
    Examples of a physical parameter type include, but are not limited to, parameters related to activity, posture, and sleep. Examples of a mental/emotional parameter type include, but are not limited to, parameters related to stress, excitement, anger, anxiety (such as may be detected via sighing), and depression. Examples of physiological/pathological parameter types include, but are not limited to, parameters related to blood pressure, respiration rate and patterns, and medical test results. Examples of environmental parameter types include, but are not limited to, parameters related to altitude, temperature, air quality, pollen count, and humidity. Examples of diet parameter types include, but are not limited to, parameters related to sodium intake, fluid intake and lipid intake. Examples of symptom parameter types include, but are not limited to, parameters related to pain, dyspnea and fatigue. In various embodiments, a symptom can be considered to be, for example, a patient-perceived condition based on frequency, severity and/or repetition. Examples of medication compliance parameter types include, but are not limited to, parameters related to drug administration such as drug type, dosage and time. Examples of drug type includes insulin, beta-blockers, diuretics and the like.
  • [0109]
    Health-related parameters are acquired from various sources. In various embodiments, a number of parameters are acquired from IMD, and from external sources such as external parameter collections (programmer, web servers, patient databases, external sensors, etc.) and user input parameter collections (answered questions, etc.). The parameter trends are displayed in a single display area of at least one of the WMDs.
  • [0110]
    In various embodiments, available parameters are acquired at module 1256. The acquired parameters are processed according to a procedure implemented in software. In various embodiments, the software automatically acquires those health-related parameters deemed to be useful based on a potential health condition. In various embodiments, the software instructions provide a procedure, when operated on by a processor, which automatically determines a potential health condition, and thus additional parameters to be acquired, from previously acquired parameters. Thus, the present subject matter is capable of automatically and intelligently acquiring additional parameters to confirm and/or dismiss an initial diagnosis.
  • [0111]
    In various embodiments, module 1257 includes software instructions that, when operated on by a processor, provide a procedure that automatically trends the acquired parameters. The trending procedure analyzes the parameters as a function of time or other measured parameter. In various embodiments, module 1258 allows a user to select parameter trends to be displayed in a single display area. Module 1259 is used to display representations in a single display area. In various embodiments in which device 1252 includes a WMD, module 1259 displays the representation on a display of the WMD. In various embodiments in which device 1259 includes an IMD, module 1259 transmits a signal for reception by a display device to display the representation on the display device.
  • [0112]
    In various embodiments, the acquired data and trends are analyzed to select an updated program or specify updated operational parameters for the IMD. The updated program or operational parameters are capable of being transferred and implemented by IMD.
  • [0113]
    [0113]FIG. 13 illustrates a block diagram of a wellness trending display generally illustrating parameter trends available for display according to various embodiments of the present subject matter. In various embodiments of the display 1360, trends associated with at least one of a physical parameter type 1361, a physiological/pathological parameter type 1362, a mental/emotional parameter type 1363, an environmental parameter type 1364, a diet parameter type 1365, a symptom parameter type 1366 and a medication compliance parameter type 1367 (and various combinations of a physical parameter type, a physiological/pathological parameter type, a mental/emotional parameter type, an environmental parameter type, a diet parameter type, a symptom parameter type and a medication compliance parameter type) are available to be displayed in a single wellness trending display area 1360.
  • [0114]
    In various embodiments, parameters available to be displayed that are associated with a physical parameter type include, but are not limited to, parameters related to activity, posture, and sleep. In various embodiments, parameters available to be displayed that are associated with a mental/emotional parameter type include, but are not limited to, parameters related to stress, anxiety (such as may be detected via sighing), excitement, anger and depression. In various embodiments, parameters available to be displayed that are associated with a physiological/pathological parameter type include, but are not limited to, parameters related to blood pressure, respiration rate and patterns, and medical test results. In various embodiments, parameters available to be displayed that are associated with a environmental parameter type include, but are not limited to, parameters related to altitude, temperature, air quality, pollen count and humidity. In various embodiments, parameters available to be displayed that are associated with a diet parameter type include, but are not limited to, parameters related to sodium intake, fluid intake and lipid intake.
  • [0115]
    [0115]FIG. 14 illustrates a block diagram of a wellness trending display illustrating an arrangement for selecting and displaying parameter trends according to various embodiments of the present subject matter. In the illustrated embodiment, the screen display 1460 of the WMD includes a patient health trend area 1468A, a device trend area 1468B, and a trend display area 1468C. In various embodiments, the screen display includes a time indicator 1469 and an event identifier 1470. The event identifier is used to display predetermined events. In various embodiments, significant events include events that are clinically important in themselves, those events that may trigger clinically important changes, and/or those events that explain clinically important changes. The illustrated screen display promotes the correlation of various parameter trends to various predetermined events. The correlation of various parameter trends is useful to diagnose and treat various health conditions.
  • [0116]
    In various embodiments, various trended parameters from the patient health trend area and from the device trend area are capable of being displayed in the trend display area. In various embodiments, a user is capable of selecting the displayed parameters and/or is capable of modifying the scale, arrangement and/or other display characteristic.
  • [0117]
    The illustrated patient health trend area 1468A includes a physical parameter type 1461, a physiological/pathological parameter type 1462, a mental/emotional parameter type 1463, an environmental parameter type 1464, a diet parameter type 1465, a symptom parameter type 1466 and a medication condition parameter type 1467. In various embodiments, selecting the parameter type displays a second window for selecting a particular parameter associated with that parameter type. For example, selecting the physical parameter type button displays available physical parameters for display such as activity, posture and sleep. Other embodiments provide other ways for a user to select the parameters to be displayed.
  • [0118]
    The illustrated device trend area 1468C includes parameters associated with the device that can affect the sensed parameters or that otherwise provide context to the sensed parameters. In various embodiments of the present subject matter which include a pulse generator IMD, the device trend area includes battery impedance 1471, lead impedance 1472, and percent pacing 1473. One of ordinary skill in the art will understand, upon reading and comprehending this disclosure, the significance of device trends such as battery impedance, lead impedance, percent pacing and the like. One of ordinary skill in the art will further understand, upon reading and comprehending this disclosure, the desirability of correlating device trends with the patient health trends.
  • [0119]
    A number of parameters trends, shown as trend 1, trend 2 . . . trend n, are capable of being displayed in the trend display area 1468B. The trends are plotted as a function of time, which is illustrated at 1469. In various embodiments, and event identifier, represented at 1470, is also displayed in the trend display area. The event identifier displays predetermined events that occurred at various times, and assists with determining causes for changes in the displayed parameter trends..
  • [0120]
    [0120]FIG. 15 illustrates an example of a wellness trending display. In the illustrated embodiment, the screen display of the wellness monitor device includes a patient health trend area 1566, a device trend area 1568, and a trend display area 1567.
  • [0121]
    In the illustrated embodiment, a number of patient health parameter trends are accessible in the patient health trend area, including mean resting heart rate trends, an activity trends, standard deviation of averaged normal-to-normal (SDANN) interval trends, percent atrial fibrillation (AF) trends, intrinsic PR interval trends (the period of time from the onset of the P wave (atrial depolarization) to the onset of the QRS complex (ventricular depolarization)), autonomic balance trends, and mean resting respiratory trends.
  • [0122]
    SDANN is a particular measure of heart rate variability (HRV) that is based on 24 hour recordings of heartbeats. SDANN is computed by determining average heart rate over a given interval (e..g five (5) minute intervals), and taking the standard deviation of the heart rates. Preferably, the SDANN measure uses every interval during the day assuming that all of the intervals provide good recordings. For example, there are 288 5-minute periods during a day. If all of the intervals provide good recordings, the SDANN is the standard deviation of these 288 averages. However, since all of the recordings may not be good throughout the 24 hour day, the SDANN is computed from the good portions of the recording.
  • [0123]
    Upon reading and understanding this disclosure, those skilled in the art will readily understand the value of the heart rate, percent atrial fibrillation, autonomic balance, and respiratory trends in the context of patient wellness. The intrinsic PR interval is useful to determine optimal cardiac resynchronization therapy in heart failure patients.
  • [0124]
    In the illustrated embodiment, a number of device trends 1568 are accessible in the device trend area, including percent ventricular pacing trends, atrial lead impedance trends, RV lead impedance trends, LV lead impedance trends, atrial intrinsic amplitude trends, right ventricular amplitude trends, and left ventricular amplitude trends. Upon reading and comprehending this disclosure, those skilled in the art will readily understand the value of the parameters in assessing device functionality and thereby the ability of the device to deliver proper therapy.
  • [0125]
    Labels are provided in FIG. 15 to illustrate the correlation between various parameter trends and various predetermined events. For example, programming the IMD, as indicated by the event identifier, resulted in a lower resting mean heart rate and an increased activity. U.S. Pat. No. 6,021,351, issued to Kadhiresan et al. and entitled Method and Apparatus For Assessing Patient Well-Being, describes an example of an activity. U.S. Pat. No. 6,021,351 is assigned to Applicant's assignee, and is hereby incorporated by reference in its entirety. The illustration also shows that a ventricular tachycardia (VT) shock therapy did not significantly affect the heart rate or activity, but that atrial fibrillation (AF>15%) significantly worsened the patient's health status as indicated by an increased resting mean heart rate and a decreased activity. One of ordinary skill in the art will understand, upon reading and comprehending this disclosure, that other parameters and predetermined events can be acquired and displayed to illustrate the correlation between various parameter trends and various predetermined events.
  • [0126]
    [0126]FIG. 16 illustrates a block diagram according to various aspects of the present subject matter in which a diagnostic context is provided to assist with interpreting the health condition of the patient, and to appropriately adjust the device and/or medical therapy, accordingly. The patient diagnostics 1669 and the diagnostic context 1670 are capable of being acquired using a variety of IMD and external sources, such as those provided throughout this disclosure. A number of patient diagnostics and diagnostic contexts are provided in FIG. 15, and will not be repeated in this specification.
  • [0127]
    In the illustrated embodiment, the diagnostic context 1670 is used as an input in forming the patient diagnosis 1669. The diagnostic context and the patient diagnostics provide inputs to titration algorithms 1671, which are used to determine an appropriate device therapy based on the diagnosis and the context of the diagnosis. The titrated settings for the device therapy are implemented by the device at 1672. At 1673, various trends, reports and/or alerts/alarms are determined based on the patient diagnostics. A physician 1674 receives these various trends, reports and/or alerts/alarms, along with other data 1675 such as clinical exams, clinical data, medical history and the like. Based on the available information, the physician is able to adjust (or titrate) the device therapy 1672 and/or the medical therapy 1676.
  • [0128]
    Defining, Identifying and Using Predetermined Health-Related Events
  • [0129]
    FIGS. 17-19 illustrate various embodiments of the present subject matter related to defining, identifying and using predetermined health-related events. In various embodiments, a device such as a WMD or IMD defines, identifies, displays and triggers actions based on a predetermined health-related event. In various embodiments, the predetermined events include significant events that are clinically important. Significant events includes those events that are clinically important in themselves (such as ventricular fibrillation), those events that trigger an important change (such as loss of ventricular pacing) or those events that explain a change (such as increased anxiety).
  • [0130]
    [0130]FIG. 17 illustrates a method for managing a patient's health by defining, detecting and using predetermined health-related events, according to various embodiments of the present subject matter. At 1777, predetermined events are defined. In various embodiments, predetermined events are significant health-related events, such as events that are clinically important in themselves, events that trigger a change, and/or events that explain a change. Examples of predetermined events includes device (e.g. IMD) therapy changes initiated by the device and/or clinician, a drug therapy change initiated by the device and/or clinician, arrhythmic events, changes in trended parameters, and autonomously-identified parameter correlations.
  • [0131]
    At 1778, predetermined health-related events are detected based on health-related parameters. In various embodiments, the health-related parameters are acquire through IMD sensors, external sensors, external data sources such as patient databases, and/or manual data inputs. At 1779, the detected event is recorded in a time log. In various embodiments, a time stamp is associated with the event to record the time to of the event.
  • [0132]
    At 1780, an action is triggered based on the detected events. In various embodiments, the triggered action includes a change in device therapy, an alarm and/or a display or report of the predetermined events along with trended health-related parameters. In various embodiments, the triggered action includes initiating a signal for use within the device(s) that detected the events for transmission for use by other device(s).
  • [0133]
    [0133]FIG. 18 illustrates a device (such as a WMD or IMD) for monitoring a patient's health condition that is capable of detecting predetermined health-related events, according to various embodiments of the present subject matter. The illustrated device includes a parameter acquisition module 1881 to acquire health related parameters. These health-related parameters can include IMD parameters (whether sensed or device interrogated), and parameters from external data sources such as sensors and databases. Various embodiments acquire various health-related parameters that are provided throughout this disclosure. The illustrated device 1852 further includes a predetermined event detection module in communication with the parameter acquisition module. The predetermined event detection module 1882 communicates with the parameter acquisition module 1881 to determine whether the health-related parameter(s) correspond to at least one of the number of predetermined events. The illustrated device further includes an action trigger module 1883 to communicate with the predetermined event detection module and trigger at least one action appropriate for a detected predetermined event.
  • [0134]
    [0134]FIG. 19 illustrates a wellness monitoring device (WMD) for monitoring a patient's health condition that is capable of detecting predetermined health-related events, according to various embodiments of the present subject matter. The illustrated device 1952 includes a communication module 1984, a parameter acquisition module 1981, an input module 1985, a predetermined event definition module 1986, a timer module 1987 and a predetermined event detection module 1982. In operation, the modules perform the functions as described below.
  • [0135]
    The communication module 1984 receives at least one health-related parameter. The parameter acquisition module 1981 communicates with the communication module to acquire the at least one health-related parameter. The input module 1985 receives manual input data, such as data for defining predetermined events and/or parameters to be acquired by the parameter acquisition module 1981 through a communication link. The predetermined event definition module 1986 communicates with the input module 1985 and/or a memory storage that contains a set of predetermined health-related events 1988 to define a number of predetermined events for the patient's health condition. The predetermined event detection module 1982 communicates with the parameter acquisition module 1981 and the predetermined event definition module 1986 to determine that the health-related parameter(s) correspond to at least one of the number of predetermined events. The predetermined event detection module 1982 further communicates with the timer module 1987 to associate a time with the at least one of the number of predetermined events.
  • [0136]
    Various embodiments of the present subject matter include an action trigger module 1983 in communication with the predetermined event detection module. The action trigger module 1983 is adapted to trigger a desired action based on a detected predetermined event. In various embodiments, the action trigger is adapted to provide a signal to display the detected predetermined event along with a trend for the at least one health related parameter. In various embodiments, the device includes a display on which the predetermined event and the trend for the at least one health related parameter are displayed. In various embodiments, the signal is transmitted to another device with a display on which the predetermined event and the trend for the at least one health related parameter are displayed. In various embodiments, the action trigger is adapted to provide a signal to send an alarm in response to the detected predetermined event. Various embodiments of the present subject matter include an action trigger to provide a signal to change device therapy in response to the detected predetermined event.
  • [0137]
    The health-related parameters acquired by the parameter acquisition module 1981 are capable of including IMD parameters or health-related parameters from an external data source such as external sensors, patient history databases, databases accessible through a global computer network (e.g. Internet), and user inputs (e.g. manual inputs from a patient and/or clinician).
  • [0138]
    Reporting Multiple Health-Related Parameters
  • [0139]
    FIGS. 20-21 illustrate various embodiments of the present subject matter related to reporting multiple health-related parameters. Various embodiments of the present subject matter provide a number of methods for transferring trended data, predetermined events and alerts to a clinician. In various embodiments, this type of information is capable of being displayed on a programmer screen or being otherwise used by a WMD and/or IMD within an advanced patient management system, such as those described within this disclosure, for example. This information is filtered in various embodiments of the present subject matter such that only the most relevant or clinically useful information is displayed or otherwise used.
  • [0140]
    [0140]FIG. 20 illustrates a method for reporting multiple parameters related to a health condition of a patient, according to various embodiments of the present subject matter. At 2088, a number of trended health-related parameters are acquired. In various embodiments, the trended health-related parameters include any of the various parameters described within this disclosure. In various embodiments, acquiring the trended health-related parameters includes acquiring parameters and trending the acquired parameters. At 2089, a number of predetermined events are acquired. In various embodiments, the predetermined events include events that are clinically important in themselves, events that trigger a change, or events that explain a change. In various embodiments, acquiring predetermined events include determining that the event is a significant health-related event as provided elsewhere in this disclosure. At 2090, a number of alerts are acquired. In various embodiments, acquiring alerts includes determining alerts. Alerts in various embodiments of the present subject matter include device-initiated alerts, patient-initiated alerts, and clinician-initiated alerts. Additionally, alerts in various embodiments of the present subject matter include alerts directed to the patient and alerts directed to a clinician.
  • [0141]
    At 2091, the present subject communicates at least one of the parameters, events and/or alerts. Various embodiments prioritize or characterize the relevance of the parameters, events and/or alerts, and appropriately communicate the information according to the relevance of the information. In various embodiments, the parameters, events and/or alerts are communicated in a report-like manner. Various embodiments of the present subject matter communicate the parameters, events and/or alerts incorporating a variety of communication technologies provided in this disclosure. In various embodiments, the communication displaying the parameters, events and/or alerts, providing an alarm signal with respect to the parameters, events and/or alerts, transmitting an e-mail, transmitting a telefax, placing a telephone call, and conducting wireless communication.
  • [0142]
    [0142]FIG. 21 illustrates a wellness monitoring device (WMD) for monitoring a patient's health condition that is capable of prioritizing communication of health-related parameters, according to various embodiments of the present subject matter. The illustrated device 2152 includes a communication module 2184, a parameter acquisition module 2181, an input module 2185, a predetermined event definition module 2186, a timer module 2187, a predetermined event detection/acquisition module 2182, and an alert acquisition module 2192. In operation, the modules perform the following functions. The communication module 2184 receives at least one health-related parameter. The parameter acquisition module 2181 communicates with the communication module 2184 to acquire the at least one health-related parameter. The input module 2185 receives manual input data, such as data for defining predetermined events and/or parameters acquired by the parameter acquisition module 2181 through a communication link. The predetermined event definition module 2186 communicates with the input module 2185 to define a number of predetermined events for the patient's health condition. The predetermined event detection/acquisition module 2182 communicates with the parameter acquisition module 2181 and the predetermined event definition module 2186 to determine that the health-related parameter(s) correspond to at least one of the number of predetermined events. The predetermined event acquisition module 2182 further communicates with the timer module 2187 to associate a time with the at least one of the number of predetermined events. The alert acquisition module 2192 communicates with the predetermined event acquisition module 2182 and with an alert definition module 2193 to determine alerts from, among other things, the acquired predetermined events.
  • [0143]
    Various embodiments of the present subject matter include an output communication module 2194 in communication with the alert acquisition module 2192, the predetermined event acquisition module 2182 and the parameter acquisition module 2181. In various embodiments, the output communication module 2194 is in communication with a priority filter 2195 for characterizing or classifying the relevance of the parameter(s), event(s) and/or alert(s). The output communication module 2194 is adapted to appropriately communicate the parameter(s), event(s) and/or alert(s) using various communication technologies based on their relevance.
  • [0144]
    One of ordinary skill in the art will understand, upon reading and comprehending this disclosure, how to acquired parameters, events and/or alerts using an IMD, and transmitting a communication signal represented the acquired parameters, events and/or alerts from the IMD to assist with managing a patient's health.
  • [0145]
    Environmental Data
  • [0146]
    [0146]FIG. 22 illustrates various embodiments of the present subject matter related to reporting environmental data. Various embodiments of the present subject matter automatically acquire and present environmental data to the attending physicians and/or patients for disease diagnosis and therapy decision making. For example, chronically ill patients can be very sensitive to the environment changes such as air quality and temperature. Patients who have respiratory disorders secondary to cardiovascular diseases (e.g. HF) may be vulnerable to certain environmental conditions. For example, acute exacerbation sometimes can be attributed to environmental changes. In various embodiments, a device (such as an IMD and/or WMD) is able to automatically acquire environmental data and provide such information in correlation to other measurements of the patient conditions to the clinician and/or patient.
  • [0147]
    [0147]FIG. 22 illustrates a device (such as a WMD or IMD) for monitoring a patient's health condition that is capable of synthesizing environmental parameters with implantable medical device (IMD) parameters, according to various embodiments of the present subject matter. Examples of environmental parameter types include, but are not limited to, parameters related to altitude, temperature, air quality, pollen count, and humidity. The illustrated device 2252 includes a first communication module 2296 for receiving IMD parameters, and a second communication module 2297 for receiving environmental parameters from a source of environmental parameters (such as an external sensor or a database). The device includes a correlation module 2298 that receives the IMD parameter(s) and the environmental parameter(s), and correlates the environmental parameters with the IMD parameters.
  • [0148]
    Various embodiments of the present subject matter include an action trigger module 2283 in communication with the correlation module 2298. The action trigger module 2283 is adapted to trigger a desired action based on the IMD parameter(s) and the environmental parameter(s). In various embodiments, the action trigger module 2283 is adapted to provide a signal to display the correlation between the IMD parameter(s) and the environmental parameter(s).
  • [0149]
    In various embodiments, the device 2252 includes a display on which the correlation between the IMD parameter(s) and the environmental parameter(s) is displayed. In various embodiments, the signal is transmitted to another device with a display on which the correlation between the IMD parameter(s) and the environmental parameter(s) is displayed. In various embodiments, the action trigger is adapted to provide a signal to send an alarm in response to the correlation between the IMD parameter(s) and the environmental parameter(s). Various embodiments of the present subject matter include an action trigger module 2283 to provide a signal to change device therapy in response to the correlation between the IMD parameter(s) and the environmental parameter(s).
  • [0150]
    In various embodiments, the device 2252 further includes a third communication module 2299 to receive IMD position parameters. Thus, for example, in an embodiment in which the second communication module is accessing environmental parameter(s) from a database of regional environmental parameters, the present subject matter is capable of determining the appropriate region for which to retrieve environmental parameters. Additionally, in various embodiments, the IMD position parameters include parameters indicative of altitude. According to various embodiments, the IMD position parameters are generated using cellular technology to determine a cell region, GPS technology, and manual data inputs.
  • [0151]
    Various embodiments of the present subject matter relate to an advanced patient management system. In various embodiments, the system includes at least one implantable medical device (IMD) to acquire at least one IMD parameter indicative of patient wellness, means to acquire at least one environmental parameter from at least one external source, and means to factor in the at least one environmental parameter in the advanced patient management system. In various embodiments, the environmental parameter is factored in by adjusting the IMD parameter based on the at least one environmental parameter. In various embodiments, the environmental parameter is factored in by adjusting a display of the IMD parameter. In various embodiments, the environmental parameter is factored in by adjusting IMD-provided therapy (such as electrical therapy, drug therapy, and the like). A number of environmental parameter types are acquired in various embodiments. Examples of these environmental types include altitude, temperature, air quality, pollen counts, humidity, and pressure. In various embodiments, the IMD parameter(s) and/or the environmental parameter(s) are trended and/or correlated, as provided in this disclosure.
  • [0152]
    Identifying, Displaying and Assisting in Correlating Health-Related Data
  • [0153]
    [0153]FIG. 23 illustrates various embodiments of the present subject matter related to identifying, displaying and assisting in data correlation. One definition of correlation is a relation existing between phenomena or things or between mathematical or statistical variables which tend to vary, be associated, or occur together in a way not expected on the basis of chance alone. Correlating data involves showing a reciprocal, mutual, and/or causal relationship among the data.
  • [0154]
    Various embodiments of the present subject matter provide methods of correlating, or assisting in the correlation of, trended data, predetermined events and other actions taken by the system (such as an alert transmitted to the clinician). Various embodiments of the present subject matter autonomously identify correlations and display the identified correlations. For example, various embodiments determine correlations without human intervention. In various embodiments, the present subject matter assists the clinician in correlating the information by displaying the data in an appropriate manner. Cause and effect relationships that are suitable for use in treating patients can be established by correlating data items.
  • [0155]
    [0155]FIG. 23 illustrates a device (such as a WMD or IMD) for monitoring a patient's health condition that is capable of correlating trended parameters, predetermined events, and alerts, according to various embodiments of the present subject matter. The illustrated device 2352 includes a first data input 2301 to receive trended health-related parameter(s), a second data input 2302 to receive predetermined event(s) associated with a patient's health, and a third data input 2303 to receive alert(s) associated with a patient's health. According to various embodiments of the present subject matter, the health-related parameters, the predetermined events, and the alerts include any of the health-related parameters, the predetermined events, and the alerts provided throughout this disclosure.
  • [0156]
    The device 2352 includes a correlation module 2304 in communication with the first data input 2301, the second data input 2302, and the third data input 2303. The correlation module 2304, which in uses various correlation algorithms 2305 in various embodiments, is adapted to correlate at least one of one or more trended health-related parameters, one or more health-related predetermined events, and one or more health-related alerts. In various embodiments, the correlation module 2304 is adapted to trigger an action. In various embodiments, the action is automatically triggered based on the correlation. In various embodiments, the correlation module automatically triggers an IMD therapy change based on the correlation. In various embodiments, the correlation module automatically displays the correlation. For example, a cursor or other indicator can be used to highlight the correlation.
  • [0157]
    Those versed in the art will understand, upon reading and comprehending this disclosure, how to incorporate various well known techniques for computing correlations between two or more data sources. For example, in the case of providing correlations between two data sources, Pearson's product-moment correlations is one example of a type of correlation that may be computed. In the case of three or more data sources, multivariate correlation techniques may be employed.
  • [0158]
    According to various embodiments of the present subject matter, the choice of which data sources to correlate is based on knowledge of physiological coupling between the sources. According to various embodiments, the choice of which data sets to correlate and the time durations(s) over which the correlations are computed is determined at the start of monitoring, and is either the same for each patient, or is tailored to individual patients based on the physicians' knowledge of the patient's condition. In various embodiments, the decisions of which parameters to correlate with each other may be dynamically selected based on ongoing IMD or WMD monitoring of the patient's physiology.
  • [0159]
    Composite Parameter Indices
  • [0160]
    FIGS. 24-26 illustrate various embodiments of the present subject matter related to defining, identifying and utilizing composite parameter indices. A composite parameter is a parameter created by combining two or more parameter inputs. For example an exercise conditioning composite parameter is generated by dividing a heart rate by an activity level. A lower exercise condition composite parameter indicates that a patient is in better condition. Various embodiments of the present subject matter provide composite parameters that function as trended parameters in various manner in which the trended parameters are used, as provided throughout this disclosure. A composite parameter is capable of being used in any way a raw parameter is used, such as displaying, correlating, defining predetermined events, defining alerts, and the like.
  • [0161]
    [0161]FIG. 24 illustrates a method to generate composite parameters for use in managing a patient's health, according to various embodiments of the present subject matter. The method illustrates a first parameter 2406 and a second parameter 2407 being operated on to form a composite parameter 2408. One or ordinary skill in the art will understand, upon reading and comprehending this disclosure, that the operation denoted at 2409 can be any number of mathematical and/or logical operations. For example, the composite parameter 2408 can be formed by multiplying the first parameter 2406 and the second parameter 2407, or can be formed by dividing the second parameter 2407 into the first parameter 2406. More complex mathematical and/or logical operations can be used to generate the composite index.
  • [0162]
    [0162]FIG. 25 illustrates a method to generate composite parameters for use in managing a patient's health, according to various embodiments of the present subject matter. The method illustrates a number of parameters (1, 2, P) and a number of composite parameters (1, 2, C) that are capable of being combined to form one or more composite parameters 2508. Thus, the present subject matter is capable of generating a composite parameter from any number of health-related parameters, from any number of previously-determined composite parameters, or from any combination of one or more parameters and one or more composite parameters.
  • [0163]
    In various embodiments, the parameters include IMD-measured parameters and/or IMD-interrogated parameters. IMD-interrogated parameters include, for example, parameters related to a device status such as battery or lead impedance. In various embodiments, the parameters include user-inputted parameters provided by a patient, clinician or other person.
  • [0164]
    Various embodiments of the present subject matter combine two or more health-related parameters related to a body system to generate a composite parameter that is indicative of the health of the body system. For example, respiratory rate, tidal volume, maximum oxygen consumption (VO2) and periodic breathing parameters relate to a respiratory system. These parameters can be used to generate a single composite parameter index that provides a health indication concerning the respiratory system. Another example uses an average heart rate and an activity parameter to generate a composite parameter index indicative of physical conditioning. Other examples use cardiac output and vascular pressures to measure vascular resistance. Another example measures respiration and heart rate to measure respiratory sinus arrhythmia.
  • [0165]
    In various embodiments, the composite index is displayed with trended health-related parameter(s), predetermined event(s) and/or alert(s). In various embodiments, the composite parameter is used to define a predetermined health-related event. In various embodiments, the composite parameter is used to define a clinician alert. In various embodiments, the composite parameter is used to modify device therapy.
  • [0166]
    [0166]FIG. 26 illustrates a device (such as a WMD or IMD) for monitoring a patient's health condition that is capable of generating composite parameters, according to various embodiments of the present invention. The illustrated device 2652 includes a data input 2610 to receive two or more health-related parameters and a composite generating module 2611 in communication with the data input 2610. In operation, the composite generating module 2611 receives the health-related parameters and generates a composite parameter using the health-related parameters. The composite generating module 2611 is capable of performing any number of mathematical and/or logical operations, such as that denoted at 2409 in FIG. 24. In various embodiments, the composite generating module 2611 is capable of combining one or more composite parameters (represented by line 2612) with one or more health-related parameters to form other composite parameters.
  • [0167]
    Various embodiments provide various composite parameters. A number of these composite parameters are identified below. The identified composite parameters is not intended to be an exclusive list of the available composite parameters.
  • [0168]
    In a first example, a composite parameter indicative of systemic vascular resistance (SVR) is generated using an acquired cardiac output parameter (C.O.), a mean arterial pressure parameter (/PART), and a mean right atrial pressure parameter (/PRA). In various embodiments, the SVR composite parameter is provided by: SVR = P ART _ - P RA _ C . O . .
  • [0169]
    In a second example, a composite parameter indicative of pulmonary vascular resistance (PVR) is generated using an acquired cardiac output parameter (C.O.), a mean pulmonary artery pressure parameter (/PPA), and one of a mean pulmonary capillary wedge pressure parameter (/PCW) and a mean left atrial pressure parameter (/PLA) In various embodiments, the PVR composite parameter is provided by: PVR = P PA _ - P CW _ C . O . , or PVR = P PA _ - P LA _ C . O . .
  • [0170]
    In a third example, a composite parameter indicative of respiratory sinus arrhythmia (RSA) is generated using an acquired heart rate parameter (PHR) and a parameter related to instantaneous lung volume (PLV) For example, a trans-thoracic sensor can be used in the acquisition. In various embodiments, the RSA composite parameter is provided by:
  • RSA=ƒ(P HR ,P LV).
  • [0171]
    In a fourth example, a composite parameter indicative of a degree of dyspnea (D) is generated using an acquired respiration rate parameter (PRR) and a tidal volume parameter (PTV) In various embodiments, the dyspnea composite parameter is provided by: D = P RR P TV .
  • [0172]
    Context may temporarily affect the physiological condition of a monitored patient. A patient context (or body-related concept), for example, may include posture, activity level, mental/emotional state and the like. Examples of patient contexts include sleeping or lying down, running, and driving. An environmental context (or external factor), for example, may include ambient temperature, sound level and the like. The concept of context has previously been discussed with respect to FIG. 16.
  • [0173]
    In various embodiments, the context is correlated with the physiologic measurements. In various embodiments, measurements are taken only for certain contexts so as to provide a repeatable baseline. For example, it is preferred to measure some parameters when a patient is at rest or in a known position. Thus, repeatable composite parameters can be generated. This is useful to determine trends or deviations from normal values. Additionally, various embodiments determine the context to provide an appropriate therapy for a contextual situation.
  • [0174]
    The following commonly-assigned patent applications refer to the use of multiple parameters and are herein incorporated by reference in their entirety: “Implantable Cardiac Rhythm Management Device For Assessing Status of CHF Patients,” Ser. No. 09/434,009, filed Nov. 4, 1999, now U.S. Pat. No. 6,275,727; “Method and Apparatus For Determining Changes In Heart Failure Status,”Ser. No. 10/001,223, filed Nov. 15, 2001; and “Cardiac Rhythm Management Systems and Methods Predicting Congestive Heart Failure Status,” Ser. No. 10/213,268, filed Aug. 6, 2002. The following commonly-assigned patent application refers to context and is herein incorporated by reference in its entirety: “Methods and Devices For Detection of Context When Addressing A Medical Condition of a Patient”, Ser. No. ______, filed Oct. 11, 2002 (Attorney Docket 13569.0054US01).
  • [0175]
    Triaging Health-Related Data
  • [0176]
    FIGS. 27-28 illustrates various embodiments of the present subject matter related to triaging health-related data in an advanced patient management system. Various embodiments of the present subject matter provide one or more devices (such as IMD, WMD, programmer and the like) with the ability to rank the severity of predetermined events. This ranking is used to prioritize the processing of the predetermined events and respond in an appropriate manner. For example, the system can be designed such that a modest increase in heart rate holds a lower priority and is related to the clinician at a next patient followup; whereas a sudden increases in weight (which may be associated with acute decompensation in a heart failure patient) may be assigned a higher priority and immediately be communicated to the clinician through various communication means.
  • [0177]
    [0177]FIG. 27 illustrates a method to triage predetermined events for use in managing a patient's health, according to various embodiments of the present subject matter. At 2713, predetermined events are acquired. At 2714, the acquired predetermined events are classified, ranked, sorted or filtered according to severity. At 2715, an action is triggered based on the severity of the predetermined event. According to various embodiments, the action includes one or more of displaying the predetermined event to a clinician at a patient followup visit 2716, alerting a clinician of the predetermined event at a patient followup visit 2717, initiating an alert for the patient 2718, altering device therapy 2719, and initiating an alert (such as a prompt emergency alert) to the clinician using an advance patient management system 2720. In various embodiments, the above-identified actions are performed for predetermined events that have been classified for increasing severity such that action 2716 is performed for a less severe event than action 2717, which is performed for a less severe event than action 2718, which is performed for a less severe event than action 2719, which is performed for a less severe event than action 2710. Other actions can be performed according to the severity of the predetermined event.
  • [0178]
    In various embodiments, the available actions to be performed are associated with various severity levels for predetermined events. This information is stored in a computer-readable memory such that a device is capable of performing an action that is associated with a detected predetermined event.
  • [0179]
    [0179]FIG. 28 illustrates a device (such as a WMD or IMD) for monitoring a patient's health condition that is capable of classifying a number of predetermined events according to severity, and performing a system action based on the classification, according to various embodiments of the present subject matter. The illustrated device 2852 includes an input module 2821 and a triage module 2822.
  • [0180]
    In various embodiments, the input module 2821 acquires predetermined events. In various embodiments, the input module 2821 includes a predetermined event determination module 2823 to determine whether a predetermined event has occurred. In various embodiments, the input module 2821 includes a first communication module 2824 to acquire IMD parameters for use by the predetermined event determination module 2823. In various embodiments, the input module 2821 includes a second communication module 2825 to acquire database parameters for use by the predetermined event determination module.
  • [0181]
    The triage module 2822 receives the predetermined event(s) and ranks or otherwise classifies, the predetermined events according to severity. In various embodiments, the device 2852 includes a triggering module 2826 in communication with the triage module 2822. The triage module 2822 is adapted to automatically initiate a desired action by the triggering module 2826 based on the severity of the predetermined event. In various embodiments, the action initiated is appropriate for the severity of the event. In various embodiments, a communication or report is initiated by the device when a predetermined event is classified as being more severe. For example, the communication can be an alarm or a prominently displayed message. In various embodiments, a communication or report is provided during a subsequent patient follow-up session when a predetermined event is classified as being less severe. In various embodiments, the device 2852 automatically performs a desired system action selected from a number of available system actions. The action is selected based on the severity of the predetermined event.
  • [0182]
    Although specific embodiments have been illustrated and described herein, it will be appreciated by those of ordinary skill in the art that any arrangement which is calculated to achieve the same purpose may be substituted for the specific embodiments shown. This application is intended to cover any adaptations or variations of the present subject matter. It is to be understood that the above description is intended to be illustrative, and not restrictive. Combinations of the above embodiments, and other embodiments will be apparent to those of skill in the art upon reviewing the above description. The scope of the present subject matter should be determined with reference to the appended claims, along with the full scope of equivalents to which such claims are entitled.

Claims (46)

What is claimed is:
1. An advanced patient management system, comprising:
at least one implantable medical device (IMD) to acquire at least one IMD parameter indicative of patient wellness;
means to acquire at least one environmental parameter from at least one external source; and
means to correlate the at least one parameter indicative of patient wellness and the at least one environmental parameter to assist with patient health care decisions.
2. The system of claim 1, wherein means to acquire at least one environmental parameter includes means to acquire at least one environmental parameter from at least one database of environmental parameters.
3. The system of claim 2, wherein the at least one database of environmental parameters includes a database suitable to be accessed via a global communication network.
4. The system of claim 1, wherein means to acquire at least one environmental parameter includes means to acquire at least one environmental parameter from at least one environmental sensor.
5. The system of claim 1, further comprising means to determine a location of the at least one IMD, wherein the means to acquire at least one environmental parameter uses the means to determine a location of the at least one IMD to acquire at least one environmental parameter for the determine location of the at least one IMD.
6. The system of claim 5, wherein means to determine a location of the at least one IMD includes global positioning satellite (GPS) technology.
7. The system of claim 5, wherein means to determine a location of the at least one IMD includes cellular communication technology.
8. The system of claim 1, wherein the IMD includes a cardiac rhythm management (CRM) device.
9. The system of claim 1, wherein means to acquire at least one environmental parameter from at least one database of environmental parameters includes means to acquire at least one parameter related to altitude.
10. The system of claim 1, wherein means to acquire at least one environmental parameter from at least one database of environmental parameters includes means to acquire at least one parameter related to temperature.
11. The system of claim 1, wherein means to acquire at least one environmental parameter from at least one database of environmental parameters includes means to acquire at least one parameter related to air quality.
12. The system of claim 1, wherein the at least one database of environmental parameters includes means to acquire at least one parameter related to pollen counts.
13. The system of claim 1, wherein the means to acquire at least one environmental parameter from at least one database of environmental parameters includes means to acquire at least one parameter related to humidity.
14. The system of claim 1, further comprising means to synthesize the at least one environmental parameter with the at least one IMD parameter and to report resulting data for use to assist with patient health care decisions.
15. A device for monitoring a patient's health condition, comprising:
a first data input to acquire at least one implantable medical device (IMD) parameter from at least one IMD indicative of patient wellness;
a second data input to communicate with a source of at least one environmental parameter that is external to the at least one IMD to acquire the at least one environmental parameter; and
a correlation module to communicate with the first communication module and the second communication module and to correlate the at least one IMD parameter and the at least one environmental parameter.
16. The device of claim 15, wherein the source of at least one environmental parameter includes at least one external sensor.
17. The device of claim 15, wherein the source of at least one environmental parameter includes at least one database.
18. The device of claim 15, wherein the at least one database includes at least one database accessible via a global communication network.
19. The device of claim 15, wherein the at least one environmental parameter includes an altitude parameter.
20. The device of claim 15, wherein the at least one environmental parameter includes a temperature parameter.
21. The device of claim 15, wherein the at least one environmental parameter includes an air quality parameter.
22. The device of claim 15, wherein the at least one environmental parameter includes a pollen count parameter.
23. The device of claim 15, wherein the at least one environmental parameter includes a humidity parameter.
24. The device of claim 15, wherein the device includes an implantable medical device (IMD).
25. The device of claim 15, wherein the device includes a wellness monitoring device (WMD).
26. A programmable device having machine executable instructions for performing a method to assist with patient healthcare decisions, the method comprising:
acquiring at least one health-related parameter from at least one implantable medical device (IMD);
acquiring at least one environmental parameter from a source external to the at least one IMD; and
synthesizing the at least one health-related parameter with the at least one environmental parameter.
27. The device of claim 26, wherein synthesizing the at least one health-related parameter with the at least one environmental parameter includes reporting the at least one health-related parameter with the at least one environmental parameter.
28. The device of claim 26, wherein synthesizing the at least one health-related parameter with the at least one environmental parameter includes correlating the at least one health-related parameter with the at least one environmental parameter and reporting the at least one health-related parameter with the at least one environmental parameter.
29. The device of claim 26, wherein acquiring at least one environmental parameter includes acquiring at least one parameter related to altitude.
30. The device of claim 26, wherein acquiring at least one environmental parameter includes acquiring at least one parameter related to temperature.
31. The device of claim 26, wherein acquiring at least one environmental parameter includes acquiring at least one parameter related to air quality.
32. The device of claim 26, wherein acquiring at least one environmental parameter includes acquiring at least one parameter related to pollen counts.
33. The device of claim 26, wherein acquiring at least one environmental parameter includes acquiring at least one parameter related to humidity.
34. The device of claim 26, wherein acquiring at least one environmental parameter includes acquiring at least one environmental parameter from a database of environmental parameters.
35. The device of claim 34, wherein acquiring at least one environmental parameter from a database of environmental parameters includes acquiring at least one environmental parameter through a global computer network.
36. The device of claim 34, further comprising determining a location of the IMD, wherein acquiring at least one environmental parameter from a database of environmental parameters includes acquiring at least one environmental parameter associated with the location of the environmental parameter.
37. An advanced patient management system, comprising:
at least one implantable medical device (IMD) to acquire at least one IMD parameter indicative of patient wellness;
means to acquire at least one environmental parameter from at least one external source; and
means to factor in the at least one environmental parameter in the advanced patient management system.
38. The system of claim 37, wherein the means to factor in the at least one environmental parameter in the advanced patient management system includes means to adjust the at least one IMD parameter indicative of patient wellness based on the at least one environmental parameter.
39. The system of claim 37, wherein the means to factor in the at least one environmental parameter in the advanced patient management system includes means to adjust a display of the at least one IMD parameter indicative of patient wellness based on the at least one environmental parameter.
40. The system of claim 37, wherein the means to factor in the at least one environmental parameter in the advanced patient management system includes means to adjust IMD-provided therapy based on the at least one environmental parameter.
41. The system of claim 37, wherein means to acquire at least one environmental parameter from at least one database of environmental parameters includes means to acquire at least one parameter related to altitude.
42. The system of claim 37, wherein means to acquire at least one environmental parameter from at least one database of environmental parameters includes means to acquire at least one parameter related to temperature.
43. The system of claim 37, wherein means to acquire at least one environmental parameter from at least one database of environmental parameters includes means to acquire at least one parameter related to air quality.
44. The system of claim 37, wherein the at least one database of environmental parameters includes means to acquire at least one parameter related to pollen counts.
45. The system of claim 37, wherein the means to acquire at least one environmental parameter from at least one database of environmental parameters includes means to acquire at least one parameter related to humidity.
46. The system of claim 37, wherein the means to acquire at least one environmental parameter includes means to acquire at least one parameter related to pressure.
US10323590 2002-12-18 2002-12-18 Advanced patient management with environmental data Abandoned US20040122294A1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
US10323590 US20040122294A1 (en) 2002-12-18 2002-12-18 Advanced patient management with environmental data

Applications Claiming Priority (6)

Application Number Priority Date Filing Date Title
US10323590 US20040122294A1 (en) 2002-12-18 2002-12-18 Advanced patient management with environmental data
US12350875 US7983745B2 (en) 2002-12-18 2009-01-08 Advanced patient management with environmental data
US13185203 US9375566B2 (en) 2002-03-06 2011-07-18 Device for reporting heart failure status
US13185121 US9480848B2 (en) 2002-03-06 2011-07-18 Advanced patient management with environmental data
US15178293 US20160287091A1 (en) 2002-03-06 2016-06-09 Device for reporting heart failure status
US15332609 US20170035297A1 (en) 2002-03-06 2016-10-24 Advanced patient management with environmental data

Related Child Applications (1)

Application Number Title Priority Date Filing Date
US12350875 Continuation US7983745B2 (en) 2002-12-18 2009-01-08 Advanced patient management with environmental data

Publications (1)

Publication Number Publication Date
US20040122294A1 true true US20040122294A1 (en) 2004-06-24

Family

ID=32593256

Family Applications (4)

Application Number Title Priority Date Filing Date
US10323590 Abandoned US20040122294A1 (en) 2002-12-18 2002-12-18 Advanced patient management with environmental data
US12350875 Active 2023-11-09 US7983745B2 (en) 2002-12-18 2009-01-08 Advanced patient management with environmental data
US13185121 Active 2024-12-31 US9480848B2 (en) 2002-03-06 2011-07-18 Advanced patient management with environmental data
US15332609 Pending US20170035297A1 (en) 2002-03-06 2016-10-24 Advanced patient management with environmental data

Family Applications After (3)

Application Number Title Priority Date Filing Date
US12350875 Active 2023-11-09 US7983745B2 (en) 2002-12-18 2009-01-08 Advanced patient management with environmental data
US13185121 Active 2024-12-31 US9480848B2 (en) 2002-03-06 2011-07-18 Advanced patient management with environmental data
US15332609 Pending US20170035297A1 (en) 2002-03-06 2016-10-24 Advanced patient management with environmental data

Country Status (1)

Country Link
US (4) US20040122294A1 (en)

Cited By (70)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030088290A1 (en) * 2001-11-07 2003-05-08 Spinelli Julio C. Centralized management system for programmable medical devices
US20040122297A1 (en) * 2002-12-18 2004-06-24 Stahmann Jeffrey E. Advanced patient management for identifying, displaying and assisting with correlating health-related data
US20040122295A1 (en) * 2002-12-18 2004-06-24 John Hatlestad Advanced patient management for triaging health-related data using color codes
US20040133080A1 (en) * 2003-01-03 2004-07-08 Mazar Scott Thomas System and method for correlating biometric trends with a related temporal event
US20040230456A1 (en) * 2003-05-14 2004-11-18 Lozier Luke R. System for identifying candidates for ICD implantation
US20040243126A1 (en) * 2001-09-14 2004-12-02 Stryker Spine Methods for stabilizing bone using spinal fixation devices
US20050060186A1 (en) * 2003-08-28 2005-03-17 Blowers Paul A. Prioritized presentation of medical device events
US20060010090A1 (en) * 2004-07-12 2006-01-12 Marina Brockway Expert system for patient medical information analysis
US20070024441A1 (en) * 2005-07-29 2007-02-01 Philippe Kahn Monitor, alert, control, and share (MACS) system
US20070073168A1 (en) * 2005-09-16 2007-03-29 Yi Zhang Rapid shallow breathing detection for use in congestive heart failure status determination
US20070239057A1 (en) * 2006-03-29 2007-10-11 Yanchuan Pu Periodic disordered breathing detection
US20070279211A1 (en) * 2006-06-05 2007-12-06 Fenske Matthew System and method for providing synergistic alert condition processing in an automated patient management system
US7343260B1 (en) 2005-06-30 2008-03-11 Fullpower, Inc. Method and apparatus to provide an interface to obtain data from a real-time monitor
US20080208007A1 (en) * 2007-02-28 2008-08-28 Van Hove Jos W Digital Pen to Capture Data in Ambulatory Monitored Patients
US20080262558A1 (en) * 2007-04-17 2008-10-23 Cardiac Pacemakers, Inc. Patient characteristic based adaptive anti-tachy pacing programming
US20090234240A1 (en) * 2008-01-22 2009-09-17 Kuenzler Richard O Respiration as a Trigger for Therapy Optimization
US20090274317A1 (en) * 2008-04-30 2009-11-05 Philippe Kahn Headset
US20090328130A1 (en) * 2008-06-26 2009-12-31 Microsoft Corporation Policy-based secure information disclosure
US20100137730A1 (en) * 2005-12-14 2010-06-03 John Hatlestad Systems and Methods for Determining Respiration Metrics
US7747735B1 (en) 2006-02-02 2010-06-29 Dp Technologies, Inc. Method and apparatus for seamlessly acquiring data from various sensor, monitor, device (SMDs)
US7751894B1 (en) * 2004-03-04 2010-07-06 Cardiac Pacemakers, Inc. Systems and methods for indicating aberrant behavior detected by an implanted medical device
US7766840B2 (en) 2005-12-01 2010-08-03 Cardiac Pacemakers, Inc. Method and system for heart failure status evaluation based on a disordered breathing index
US7805199B2 (en) 2002-03-06 2010-09-28 Cardiac Pacemakers, Inc. Method and apparatus for establishing context among events and optimizing implanted medical device performance
US7849184B1 (en) 2005-10-07 2010-12-07 Dp Technologies, Inc. Method and apparatus of monitoring the status of a sensor, monitor, or device (SMD)
US20110009760A1 (en) * 2009-07-10 2011-01-13 Yi Zhang Hospital Readmission Alert for Heart Failure Patients
US20110098112A1 (en) * 2006-12-19 2011-04-28 Leboeuf Steven Francis Physiological and Environmental Monitoring Systems and Methods
US7983745B2 (en) 2002-12-18 2011-07-19 Cardiac Pacemakers, Inc. Advanced patient management with environmental data
US7983759B2 (en) 2002-12-18 2011-07-19 Cardiac Pacemakers, Inc. Advanced patient management for reporting multiple health-related parameters
US20110213620A1 (en) * 2008-11-17 2011-09-01 Medicalgorithmics Ltd. Outpatient Monitoring Systems and Methods
WO2011124461A1 (en) * 2010-04-06 2011-10-13 Poesl Hans Data-med box
US8115635B2 (en) 2005-02-08 2012-02-14 Abbott Diabetes Care Inc. RF tag on test strips, test strip vials and boxes
US8285344B2 (en) 2008-05-21 2012-10-09 DP Technlogies, Inc. Method and apparatus for adjusting audio for a user environment
US8301252B2 (en) 2002-12-18 2012-10-30 Cardiac Pacemakers, Inc. Advanced patient management with composite parameter indices
US8335992B2 (en) 2009-12-04 2012-12-18 Nellcor Puritan Bennett Llc Visual indication of settings changes on a ventilator graphical user interface
US8359288B1 (en) 2005-12-30 2013-01-22 Dp Technologies, Inc. Method and apparatus to utilize sensor, monitor, device (SMD) data based on location
US8386036B2 (en) 2000-12-26 2013-02-26 Cardiac Pacemakers, Inc. Expert system and method
US8391989B2 (en) 2002-12-18 2013-03-05 Cardiac Pacemakers, Inc. Advanced patient management for defining, identifying and using predetermined health-related events
US8417350B2 (en) 2003-01-21 2013-04-09 Cardiac Pacemakers, Inc. Recordable macros for pacemaker follow-up
US8443294B2 (en) 2009-12-18 2013-05-14 Covidien Lp Visual indication of alarms on a ventilator graphical user interface
US8453645B2 (en) 2006-09-26 2013-06-04 Covidien Lp Three-dimensional waveform display for a breathing assistance system
WO2013107799A1 (en) * 2012-01-19 2013-07-25 Implandata Ophthalmic Products Gmbh Method and device for continuous measurement of intraocular pressures
CN103249355A (en) * 2010-12-14 2013-08-14 金伯利-克拉克环球有限公司 Method and system for monitoring nutritional uptake as a function of microflora intestinal gas levels
US8521267B1 (en) * 2007-06-29 2013-08-27 Pacesetter, Inc. Methods and systems for trending ST segment changes over time
US8555282B1 (en) 2007-07-27 2013-10-08 Dp Technologies, Inc. Optimizing preemptive operating system with motion sensing
US8555882B2 (en) 1997-03-14 2013-10-15 Covidien Lp Ventilator breath display and graphic user interface
US8597198B2 (en) 2006-04-21 2013-12-03 Covidien Lp Work of breathing display for a ventilation system
US8620353B1 (en) 2007-01-26 2013-12-31 Dp Technologies, Inc. Automatic sharing and publication of multimedia from a mobile device
US8725527B1 (en) 2006-03-03 2014-05-13 Dp Technologies, Inc. Method and apparatus to present a virtual user
US8864663B1 (en) 2006-03-01 2014-10-21 Dp Technologies, Inc. System and method to evaluate physical condition of a user
US8872646B2 (en) 2008-10-08 2014-10-28 Dp Technologies, Inc. Method and system for waking up a device due to motion
US8902154B1 (en) 2006-07-11 2014-12-02 Dp Technologies, Inc. Method and apparatus for utilizing motion user interface
US8924878B2 (en) 2009-12-04 2014-12-30 Covidien Lp Display and access to settings on a ventilator graphical user interface
US8949070B1 (en) 2007-02-08 2015-02-03 Dp Technologies, Inc. Human activity monitoring device with activity identification
US8989830B2 (en) 2009-02-25 2015-03-24 Valencell, Inc. Wearable light-guiding devices for physiological monitoring
US8996332B2 (en) 2008-06-24 2015-03-31 Dp Technologies, Inc. Program setting adjustments based on activity identification
US9044180B2 (en) 2007-10-25 2015-06-02 Valencell, Inc. Noninvasive physiological analysis using excitation-sensor modules and related devices and methods
US9119925B2 (en) 2009-12-04 2015-09-01 Covidien Lp Quick initiation of respiratory support via a ventilator user interface
JP2015526228A (en) * 2012-08-29 2015-09-10 コーニンクレッカ フィリップス エヌ ヴェ Environment and usage monitoring system for advanced life support devices
US9138151B2 (en) 2007-03-14 2015-09-22 Cardiac Pacemakers, Inc. Method and apparatus for management of heart failure hospitalization
US9262588B2 (en) 2009-12-18 2016-02-16 Covidien Lp Display of respiratory data graphs on a ventilator graphical user interface
US9289175B2 (en) 2009-02-25 2016-03-22 Valencell, Inc. Light-guiding devices and monitoring devices incorporating same
US9351652B2 (en) 2005-10-14 2016-05-31 Medicalgorithmics S.A. Systems for safe and remote outpatient ECG monitoring
US9390229B1 (en) 2006-04-26 2016-07-12 Dp Technologies, Inc. Method and apparatus for a health phone
US9427191B2 (en) 2011-07-25 2016-08-30 Valencell, Inc. Apparatus and methods for estimating time-state physiological parameters
US9529437B2 (en) 2009-05-26 2016-12-27 Dp Technologies, Inc. Method and apparatus for a motion state aware device
US9538921B2 (en) 2014-07-30 2017-01-10 Valencell, Inc. Physiological monitoring devices with adjustable signal analysis and interrogation power and monitoring methods using same
US9743889B2 (en) 2013-08-05 2017-08-29 Cardiac Pacemakers, Inc. System and method for detecting worsening of heart failure based on rapid shallow breathing index
US9750462B2 (en) 2009-02-25 2017-09-05 Valencell, Inc. Monitoring apparatus and methods for measuring physiological and/or environmental conditions
US9794653B2 (en) 2014-09-27 2017-10-17 Valencell, Inc. Methods and apparatus for improving signal quality in wearable biometric monitoring devices
US9801552B2 (en) 2011-08-02 2017-10-31 Valencell, Inc. Systems and methods for variable filter adjustment by heart rate metric feedback

Families Citing this family (22)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20040122486A1 (en) * 2002-12-18 2004-06-24 Stahmann Jeffrey E. Advanced patient management for acquiring, trending and displaying health-related parameters
US20040122296A1 (en) * 2002-12-18 2004-06-24 John Hatlestad Advanced patient management for triaging health-related data
US6949075B2 (en) * 2002-12-27 2005-09-27 Cardiac Pacemakers, Inc. Apparatus and method for detecting lung sounds using an implanted device
US20050080348A1 (en) * 2003-09-18 2005-04-14 Stahmann Jeffrey E. Medical event logbook system and method
US7630755B2 (en) * 2005-05-04 2009-12-08 Cardiac Pacemakers Inc. Syncope logbook and method of using same
US8183987B2 (en) * 2006-07-17 2012-05-22 Patient Provider Communications, Inc. Method and system for advanced patient communication
US8685091B2 (en) * 2006-09-29 2014-04-01 DePuy Synthes Products, LLC System, method, and device for monitoring orthopaedic implant data over a cellular network
US8570186B2 (en) * 2011-04-25 2013-10-29 Endotronix, Inc. Wireless sensor reader
US7751907B2 (en) 2007-05-24 2010-07-06 Smiths Medical Asd, Inc. Expert system for insulin pump therapy
US9268585B2 (en) * 2007-05-29 2016-02-23 Trimble Navigation Limited Utilizing scripting for provisioning actions
DK2060296T3 (en) * 2007-11-19 2016-12-05 Hollister Inc Damphydratiseret catheter assembly and method for production thereof
US8641671B2 (en) 2009-07-30 2014-02-04 Tandem Diabetes Care, Inc. Infusion pump system with disposable cartridge having pressure venting and pressure feedback
US9858393B2 (en) 2010-04-13 2018-01-02 Empire Technology Development Llc Semantic compression
WO2011129817A3 (en) * 2010-04-13 2012-02-09 Empire Technology Development Llc Semantic medical devices
US20120109238A1 (en) * 2010-10-29 2012-05-03 Medtronic, Inc. Automatic personalization of parameter settings and algorithms in a medical device
WO2013056061A1 (en) * 2011-10-12 2013-04-18 The Johns Hopkins University Novel simulation and permutation methods for the determination of temporal association between two events
WO2013114356A1 (en) * 2012-01-31 2013-08-08 Josef Luzon System and method for automatic analysis and treatment of a condition
US8974115B2 (en) * 2012-04-27 2015-03-10 Kinsa, Inc. Temperature measurement system and method
ES2491491B1 (en) * 2013-03-05 2015-06-16 Vodafone España, S.A.U. Method for anonymously associated measurements of health monitoring device with a user ID
US20140275827A1 (en) * 2013-03-14 2014-09-18 Pacesetter, Inc. Method and system for deriving effectiveness of medical treatment of a patient
WO2015100439A1 (en) 2013-12-26 2015-07-02 Tandem Diabetes Care, Inc. Integration of infusion pump with remote electronic device
EP3087548A4 (en) 2013-12-26 2017-09-13 Tandem Diabetes Care Inc Safety processor for wireless control of a drug delivery device

Citations (94)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4310003A (en) * 1978-02-06 1982-01-12 Schlager Kenneth J Thermographic method of physical examination of patients
US4519395A (en) * 1982-12-15 1985-05-28 Hrushesky William J M Medical instrument for noninvasive measurement of cardiovascular characteristics
US4809697A (en) * 1987-10-14 1989-03-07 Siemens-Pacesetter, Inc. Interactive programming and diagnostic system for use with implantable pacemaker
US4825869A (en) * 1987-09-28 1989-05-02 Telectronics N.V. System for automatically performing a clinical assessment of an implanted pacer based on information that is telemetrically received
US4928688A (en) * 1989-01-23 1990-05-29 Mieczyslaw Mirowski Method and apparatus for treating hemodynamic disfunction
US4987897A (en) * 1989-09-18 1991-01-29 Medtronic, Inc. Body bus medical device communication system
US5031629A (en) * 1989-06-02 1991-07-16 Demarzo Arthur P Hypertension analyzer apparatus
US5097831A (en) * 1990-04-16 1992-03-24 Siemens-Pacesetter, Inc. Rate-responsive pacemaker with circuitry for processing multiple sensor inputs
US5113869A (en) * 1990-08-21 1992-05-19 Telectronics Pacing Systems, Inc. Implantable ambulatory electrocardiogram monitor
US5226413A (en) * 1990-08-14 1993-07-13 Medtronic, Inc. Rate responsive pacemaker and method for automatically initializing the same
US5282838A (en) * 1992-06-08 1994-02-01 Cardiac Pacemakers, Inc. Dual chamber cardiac pacemaker employing hysteresis to maximize the number of normally conducted ventricular beats with an optimum A-V delay for paced ventricular beats
US5292341A (en) * 1992-03-02 1994-03-08 Siemens Pacesetter, Inc. Method and system for determining and automatically adjusting the sensor parameters of a rate-responsive pacemaker
US5306293A (en) * 1990-11-23 1994-04-26 Fred Zacouto Device for the prevention of cardiac failures
US5321618A (en) * 1990-05-29 1994-06-14 Lawrence Gessman Apparatus and method for remotely monitoring implanted cardioverter defibrillators
US5330505A (en) * 1992-05-08 1994-07-19 Leonard Bloom System for and method of treating a malfunctioning heart
US5421830A (en) * 1993-08-27 1995-06-06 Pacesetter, Inc. Programming system having means for recording and analyzing a patient's cardiac signal
US5431691A (en) * 1992-03-02 1995-07-11 Siemens Pacesetter, Inc. Method and system for recording and displaying a sequential series of pacing events
US5540727A (en) * 1994-11-15 1996-07-30 Cardiac Pacemakers, Inc. Method and apparatus to automatically optimize the pacing mode and pacing cycle parameters of a dual chamber pacemaker
US5594638A (en) * 1993-12-29 1997-01-14 First Opinion Corporation Computerized medical diagnostic system including re-enter function and sensitivity factors
US5607460A (en) * 1996-03-15 1997-03-04 Angeion Corporation Physician interface expert system for programming implantable arrythmia treatment devices
US5626630A (en) * 1994-10-13 1997-05-06 Ael Industries, Inc. Medical telemetry system using an implanted passive transponder
US5630835A (en) * 1995-07-24 1997-05-20 Cardiac Control Systems, Inc. Method and apparatus for the suppression of far-field interference signals for implantable device data transmission systems
US5716382A (en) * 1995-08-02 1998-02-10 Pacesetter, Inc. Programmer for an implantable cardiac stimulating device
US5720771A (en) * 1995-08-02 1998-02-24 Pacesetter, Inc. Method and apparatus for monitoring physiological data from an implantable medical device
US5722999A (en) * 1995-08-02 1998-03-03 Pacesetter, Inc. System and method for storing and displaying historical medical data measured by an implantable medical device
US5724985A (en) * 1995-08-02 1998-03-10 Pacesetter, Inc. User interface for an implantable medical device using an integrated digitizer display screen
US5731296A (en) * 1985-09-24 1998-03-24 Item Development Ab Selective vasodilation by continuous adenosine infusion
US5732709A (en) * 1994-05-23 1998-03-31 Enact Health Management Systems System for monitoring and reporting medical measurements
US5752976A (en) * 1995-06-23 1998-05-19 Medtronic, Inc. World wide patient location and data telemetry system for implantable medical devices
US5759199A (en) * 1995-08-02 1998-06-02 Pacesetter, Inc. System and method for ambulatory monitoring and programming of an implantable medical device
US5860918A (en) * 1996-11-22 1999-01-19 Hewlett-Packard Company Representation of a review of a patent's physiological parameters
US5891178A (en) * 1996-05-14 1999-04-06 Pacesetter, Inc. Programmer system and associated methods for rapidly evaluating and programming an implanted cardiac device
US5904708A (en) * 1998-03-19 1999-05-18 Medtronic, Inc. System and method for deriving relative physiologic signals
US5911132A (en) * 1995-04-26 1999-06-08 Lucent Technologies Inc. Method using central epidemiological database
US6015388A (en) * 1997-03-17 2000-01-18 Nims, Inc. Method for analyzing breath waveforms as to their neuromuscular respiratory implications
US6016442A (en) * 1998-03-25 2000-01-18 Cardiac Pacemakers, Inc. System for displaying cardiac arrhythmia data
US6045513A (en) * 1998-05-13 2000-04-04 Medtronic, Inc. Implantable medical device for tracking patient functional status
US6070101A (en) * 1998-04-28 2000-05-30 Medtronic, Inc. Multiple channel, sequential, cardiac pacing systems
US6073048A (en) * 1995-11-17 2000-06-06 Medtronic, Inc. Baroreflex modulation with carotid sinus nerve stimulation for the treatment of heart failure
US6093146A (en) * 1998-06-05 2000-07-25 Matsushita Electric Works, Ltd. Physiological monitoring
US6168563B1 (en) * 1992-11-17 2001-01-02 Health Hero Network, Inc. Remote health monitoring and maintenance system
US6190324B1 (en) * 1999-04-28 2001-02-20 Medtronic, Inc. Implantable medical device for tracking patient cardiac status
US6206829B1 (en) * 1996-07-12 2001-03-27 First Opinion Corporation Computerized medical diagnostic and treatment advice system including network access
US6240317B1 (en) * 1999-04-30 2001-05-29 Medtronic, Inc. Telemetry system for implantable medical devices
US6249705B1 (en) * 1999-10-21 2001-06-19 Pacesetter, Inc. Distributed network system for use with implantable medical devices
US6249703B1 (en) * 1994-07-08 2001-06-19 Medtronic, Inc. Handheld patient programmer for implantable human tissue stimulator
US6250309B1 (en) * 1999-07-21 2001-06-26 Medtronic Inc System and method for transferring information relating to an implantable medical device to a remote location
US20010007053A1 (en) * 1999-06-03 2001-07-05 Bardy Gust H. System and method for automated collection and analysis of patient information retreived from an implantable medical device for remote patient care
US6336903B1 (en) * 1999-11-16 2002-01-08 Cardiac Intelligence Corp. Automated collection and analysis patient care system and method for diagnosing and monitoring congestive heart failure and outcomes thereof
US6336900B1 (en) * 1999-04-12 2002-01-08 Agilent Technologies, Inc. Home hub for reporting patient health parameters
US20020013613A1 (en) * 1999-07-07 2002-01-31 Markus Haller System and method for remote programming of an implantable medical device
US20020016550A1 (en) * 1999-10-01 2002-02-07 Cardiac Pacemakers, Inc. Cardiac rhythm management system with arrhythmia prediction and prevention
US20020019586A1 (en) * 2000-06-16 2002-02-14 Eric Teller Apparatus for monitoring health, wellness and fitness
US6351675B1 (en) * 1999-10-04 2002-02-26 Medtronic, Inc. System and method of programming an implantable medical device
US20020026103A1 (en) * 2000-06-14 2002-02-28 Medtronic, Inc. Deep computing applications in medical device systems
US20020026223A1 (en) * 1999-12-24 2002-02-28 Riff Kenneth M. Method and a system for using implanted medical device data for accessing therapies
US6368284B1 (en) * 1999-11-16 2002-04-09 Cardiac Intelligence Corporation Automated collection and analysis patient care system and method for diagnosing and monitoring myocardial ischemia and outcomes thereof
US20020045808A1 (en) * 2000-08-18 2002-04-18 Russell Ford Formulation and manipulation of databases of analyte and associated values
US20020049482A1 (en) * 2000-06-14 2002-04-25 Willa Fabian Lifestyle management system
US6381496B1 (en) * 1999-10-01 2002-04-30 Advanced Bionics Corporation Parameter context switching for an implanted device
US20020052539A1 (en) * 1999-07-07 2002-05-02 Markus Haller System and method for emergency communication between an implantable medical device and a remote computer system or health care provider
US6383136B1 (en) * 2000-03-06 2002-05-07 Charlyn Jordan Health analysis and forecast of abnormal conditions
US6398728B1 (en) * 1999-11-16 2002-06-04 Cardiac Intelligence Corporation Automated collection and analysis patient care system and method for diagnosing and monitoring respiratory insufficiency and outcomes thereof
US20020077562A1 (en) * 2000-12-15 2002-06-20 James Kalgren System and method for correlation of patient health information and implant device data
US6411840B1 (en) * 1999-11-16 2002-06-25 Cardiac Intelligence Corporation Automated collection and analysis patient care system and method for diagnosing and monitoring the outcomes of atrial fibrillation
US6411847B1 (en) * 1996-08-19 2002-06-25 Morton M. Mower Apparatus for applying cyclic pacing at an average rate just above the intrinsic heart rate
US20020082868A1 (en) * 2000-12-27 2002-06-27 Pories Walter J. Systems, methods and computer program products for creating and maintaining electronic medical records
US20030055406A1 (en) * 2000-01-21 2003-03-20 Lebel Ronald J. Ambulatory medical apparatus with hand held communication device
US6542775B2 (en) * 1998-05-08 2003-04-01 Cardiac Pacemakers, Inc. Cardiac pacing using adjustable atrio-ventricular delays
US6544174B2 (en) * 2000-05-19 2003-04-08 Welch Allyn Protocol, Inc. Patient monitoring system
US20030074029A1 (en) * 2000-12-28 2003-04-17 Deno D. Curtis Implantable medical device for treating cardiac mechanical dysfunction by electrical stimulation
US20030088290A1 (en) * 2001-11-07 2003-05-08 Spinelli Julio C. Centralized management system for programmable medical devices
US6564104B2 (en) * 1999-12-24 2003-05-13 Medtronic, Inc. Dynamic bandwidth monitor and adjuster for remote communications with a medical device
US20030093127A1 (en) * 2001-11-09 2003-05-15 Nirav Dalal Presentation architecture for network supporting implantable cardiac therapy devices
USRE38119E1 (en) * 1989-01-23 2003-05-20 Mirowski Family Ventures, LLC Method and apparatus for treating hemodynamic disfunction
US20030144702A1 (en) * 1998-05-08 2003-07-31 Yinghong Yu Method and apparatus for optimizing stroke volume during DDD resynchronization therapy using adjustable atrio-ventricular delays
US20030144703A1 (en) * 1998-05-08 2003-07-31 Yinghong Yu Method and apparatus for optimizing ventricular synchrony during DDD resynchronization therapy using adjustable atrio-ventricular delays
US6687547B2 (en) * 1999-09-14 2004-02-03 Medtronic, Inc. Method and apparatus for communicating with an implantable medical device with DTMF tones
US20040073093A1 (en) * 2002-10-11 2004-04-15 Cardiac Pacemakers, Inc. Methods and devices for detection of context when addressing a medical condition of a patient
US6738671B2 (en) * 2000-10-26 2004-05-18 Medtronic, Inc. Externally worn transceiver for use with an implantable medical device
US20040117204A1 (en) * 2002-12-17 2004-06-17 Cardiac Pacemakers, Inc. Repeater device for communications with an implantable medical device
US20040122485A1 (en) * 2002-12-18 2004-06-24 Stahmann Jeffrey E. Advanced patient management for reporting multiple health-related parameters
US20040122484A1 (en) * 2002-12-18 2004-06-24 John Hatlestad Advanced patient management for defining, identifying and using predetermined health-related events
US20040122487A1 (en) * 2002-12-18 2004-06-24 John Hatlestad Advanced patient management with composite parameter indices
US20040122296A1 (en) * 2002-12-18 2004-06-24 John Hatlestad Advanced patient management for triaging health-related data
US20040122486A1 (en) * 2002-12-18 2004-06-24 Stahmann Jeffrey E. Advanced patient management for acquiring, trending and displaying health-related parameters
US20040122295A1 (en) * 2002-12-18 2004-06-24 John Hatlestad Advanced patient management for triaging health-related data using color codes
US20040122297A1 (en) * 2002-12-18 2004-06-24 Stahmann Jeffrey E. Advanced patient management for identifying, displaying and assisting with correlating health-related data
US20050021370A1 (en) * 2000-08-29 2005-01-27 Medtronic, Inc. Medical device systems implemented network scheme for remote patient management
US20050042589A1 (en) * 2003-08-18 2005-02-24 Hatlestad John D. Sleep quality data collection and evaluation
US6878112B2 (en) * 1999-12-17 2005-04-12 Medtronic, Inc. Virtual remote monitor, alert, diagnostics and programming for implantable medical device systems
US7043305B2 (en) * 2002-03-06 2006-05-09 Cardiac Pacemakers, Inc. Method and apparatus for establishing context among events and optimizing implanted medical device performance
US7060031B2 (en) * 1999-12-17 2006-06-13 Medtronic, Inc. Method and apparatus for remotely programming implantable medical devices
US7203549B2 (en) * 2003-10-02 2007-04-10 Medtronic, Inc. Medical device programmer with internal antenna and display

Family Cites Families (148)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS5794665A (en) 1980-12-03 1982-06-12 Canon Inc Battery check device
US4712179A (en) 1984-08-15 1987-12-08 Cordis Corporation Method and apparatus for calibrating internal measurements of an implanted cardiac pacer
US4796634A (en) 1985-08-09 1989-01-10 Lawrence Medical Systems, Inc. Methods and apparatus for monitoring cardiac output
US4838275A (en) 1985-11-29 1989-06-13 Lee Arnold St J Home medical surveillance system
US4777960A (en) 1986-08-18 1988-10-18 Massachusetts Institute Of Technology Method and apparatus for the assessment of autonomic response by broad-band excitation
US5047930A (en) 1987-06-26 1991-09-10 Nicolet Instrument Corporation Method and system for analysis of long term physiological polygraphic recordings
NL8701536A (en) 1987-06-30 1989-01-16 Joannes Hendricus Aloys Heuvel A method for carrying out hemodynamic measurements on a patient, and used therein, flow-directed balloon catheter.
US4967749A (en) 1987-10-06 1990-11-06 Leonard Bloom Hemodynamically responsive system for and method of treating a malfunctioning heart
US4886064A (en) 1987-11-25 1989-12-12 Siemens Aktiengesellschaft Body activity controlled heart pacer
DE3831809A1 (en) 1988-09-19 1990-03-22 Funke Hermann geraet for at least partial implantation in the living body specific
US5251626A (en) 1990-07-03 1993-10-12 Telectronics Pacing Systems, Inc. Apparatus and method for the detection and treatment of arrhythmias using a neural network
US5822544A (en) 1990-07-27 1998-10-13 Executone Information Systems, Inc. Patient care and communication system
US5174289A (en) 1990-09-07 1992-12-29 Cohen Fred M Pacing systems and methods for control of the ventricular activation sequence
US5311449A (en) 1991-03-25 1994-05-10 Angeion Corporation Sterilizable hand-held programmer/interrogator
US5289824A (en) 1991-12-26 1994-03-01 Instromedix, Inc. Wrist-worn ECG monitor
US5309919A (en) 1992-03-02 1994-05-10 Siemens Pacesetter, Inc. Method and system for recording, reporting, and displaying the distribution of pacing events over time and for using same to optimize programming
US5441047A (en) 1992-03-25 1995-08-15 David; Daniel Ambulatory patient health monitoring techniques utilizing interactive visual communication
US5262944A (en) 1992-05-15 1993-11-16 Hewlett-Packard Company Method for use of color and selective highlighting to indicate patient critical events in a centralized patient monitoring system
US5311873A (en) 1992-08-28 1994-05-17 Ecole Polytechnique Comparative analysis of body surface potential distribution during cardiac pacing
US5576952A (en) 1993-03-09 1996-11-19 Metriplex, Inc. Medical alert distribution system with selective filtering of medical information
US5372607A (en) 1993-06-23 1994-12-13 Medtronic, Inc. Method and apparatus for monitoring pacemaker intervals
US5544661A (en) 1994-01-13 1996-08-13 Charles L. Davis Real time ambulatory patient monitor
US5549654A (en) 1994-04-15 1996-08-27 Medtronic, Inc. Interactive interpretation of event markers in body-implantable medical device
DE69529717T2 (en) 1994-10-28 2003-12-18 Schauberger Hubert Fitness machine with monitoring of the physical performance levels
US5792064A (en) 1995-02-17 1998-08-11 Panescu; Dorin Systems and methods for analyzing cardiac biopotential morphologies by cross-correlation
EP0730882A3 (en) 1995-03-08 1997-08-06 Telectronics Nv An improved implantable cardiac stimulation system
US5743262A (en) 1995-06-07 1998-04-28 Masimo Corporation Blood glucose monitoring system
US5942986A (en) 1995-08-09 1999-08-24 Cedars-Sinai Medical Center System and method for automatic critical event notification
US5697959A (en) 1996-01-11 1997-12-16 Pacesetter, Inc. Method and system for analyzing and displaying complex pacing event records
US5693076A (en) 1996-01-16 1997-12-02 Medtronic, Inc. Compressed patient narrative storage in and full text reconstruction from implantable medical devices
US5935078A (en) 1996-01-30 1999-08-10 Telecom Medical, Inc. Transdermal communication system and method
FR2744817B1 (en) 1996-02-08 1998-04-03 Ela Medical Sa Implantable medical device assets and external programmer has automatic update software
US5833623A (en) 1996-05-14 1998-11-10 Pacesetter, Inc. System and method for facilitating rapid retrieval and evaluation of diagnostic data stored by an implantable medical device
US6001060A (en) 1996-06-04 1999-12-14 Regents Of The University Of California Video data representation of physiological data
US6178351B1 (en) 1996-08-19 2001-01-23 The Mower Family Chf Treatment Irrevocable Trust Atrial sensing and multiple site stimulation as intervention means for atrial fibrillation
US6295470B1 (en) 1996-08-19 2001-09-25 The Mower Family Chf Treatment Irrevocable Trust Antitachycardial pacing
US5790534A (en) 1996-09-20 1998-08-04 Nokia Mobile Phones Limited Load control method and apparatus for CDMA cellular system having circuit and packet switched terminals
US6112224A (en) 1996-09-20 2000-08-29 Georgia Tech Research Corporation Patient monitoring station using a single interrupt resource to support multiple measurement devices
US5987519A (en) 1996-09-20 1999-11-16 Georgia Tech Research Corporation Telemedicine system using voice video and data encapsulation and de-encapsulation for communicating medical information between central monitoring stations and remote patient monitoring stations
DE19638585A1 (en) 1996-09-20 1998-03-26 Biotronik Mess & Therapieg Device for Rejektionsdiagnostik after organ transplantation
WO1998016893A1 (en) 1996-10-15 1998-04-23 Cymedix Corp. Automated networked service request and fulfillment system and method
US5700283A (en) 1996-11-25 1997-12-23 Cardiac Pacemakers, Inc. Method and apparatus for pacing patients with severe congestive heart failure
US5915380A (en) 1997-03-14 1999-06-29 Nellcor Puritan Bennett Incorporated System and method for controlling the start up of a patient ventilator
US6975900B2 (en) 1997-07-31 2005-12-13 Case Western Reserve University Systems and methods for determining a surface geometry
US5935081A (en) 1998-01-20 1999-08-10 Cardiac Pacemakers, Inc. Long term monitoring of acceleration signals for optimization of pacing therapy
US5873894A (en) 1998-02-17 1999-02-23 Sulzer Intermedics Inc. Diagnostic test protocol in an implantable medical device
US6076015A (en) 1998-02-27 2000-06-13 Cardiac Pacemakers, Inc. Rate adaptive cardiac rhythm management device using transthoracic impedance
US6024699A (en) 1998-03-13 2000-02-15 Healthware Corporation Systems, methods and computer program products for monitoring, diagnosing and treating medical conditions of remotely located patients
US6579231B1 (en) 1998-03-27 2003-06-17 Mci Communications Corporation Personal medical monitoring unit and system
US6006132A (en) 1998-04-15 1999-12-21 Tacker, Jr.; Willis A. Atrial defibrillation system including a portable audible speech communication device
US6497708B1 (en) 1998-05-11 2002-12-24 Medevec Licensing, B.V. Intraocular lens insertion instrument
WO1999059673A1 (en) 1998-05-21 1999-11-25 Medtronic Physio-Control Manufacturing Corp. Automatic detection and reporting of cardiac asystole
JP2000123098A (en) 1998-10-13 2000-04-28 Nakamura Shoichi Medical examination supporting system and diagnosis supporting system and consultation supporting system and electronic record card preparation system and medical receipt preparation system based on keyword analysis
US6016447A (en) 1998-10-27 2000-01-18 Medtronic, Inc. Pacemaker implant recognition
US7418399B2 (en) 1999-03-10 2008-08-26 Illinois Institute Of Technology Methods and kits for managing diagnosis and therapeutics of bacterial infections
US6370430B1 (en) * 1999-03-25 2002-04-09 Impulse Dynamics N.V. Apparatus and method for controlling the delivery of non-excitatory cardiac contractility modulating signals to a heart
US6115630A (en) 1999-03-29 2000-09-05 Medtronic, Inc. Determination of orientation of electrocardiogram signal in implantable medical devices
US7593952B2 (en) 1999-04-09 2009-09-22 Soll Andrew H Enhanced medical treatment system
US6416471B1 (en) 1999-04-15 2002-07-09 Nexan Limited Portable remote patient telemonitoring system
US7429243B2 (en) 1999-06-03 2008-09-30 Cardiac Intelligence Corporation System and method for transacting an automated patient communications session
US6270457B1 (en) 1999-06-03 2001-08-07 Cardiac Intelligence Corp. System and method for automated collection and analysis of regularly retrieved patient information for remote patient care
DE19930256A1 (en) 1999-06-25 2000-12-28 Biotronik Mess & Therapieg Implant with near and far field telemetry
DE19930241A1 (en) 1999-06-25 2000-12-28 Biotronik Mess & Therapieg Method for data transmission in the implant monitoring
DE19930262A1 (en) 1999-06-25 2000-12-28 Biotronik Mess & Therapieg Electromedical implant, especially pacemaker, has telemetry device transmitter containing oscillator with first transistor and resonator, buffer stage, antenna driver with second transistor
US6804558B2 (en) 1999-07-07 2004-10-12 Medtronic, Inc. System and method of communicating between an implantable medical device and a remote computer system or health care provider
EP1196082B1 (en) 1999-07-07 2010-03-10 Medtronic, Inc. System for remote communication with an implantable medical device
US7149773B2 (en) 1999-07-07 2006-12-12 Medtronic, Inc. System and method of automated invoicing for communications between an implantable medical device and a remote computer system or health care provider
US6221011B1 (en) 1999-07-26 2001-04-24 Cardiac Intelligence Corporation System and method for determining a reference baseline of individual patient status for use in an automated collection and analysis patient care system
US6263245B1 (en) 1999-08-12 2001-07-17 Pacesetter, Inc. System and method for portable implantable device interogation
JP2001067403A (en) 1999-08-25 2001-03-16 Care Network:Kk Home health management system
US6827670B1 (en) 1999-10-11 2004-12-07 Izex Technologies, Inc. System for medical protocol management
US6453201B1 (en) 1999-10-20 2002-09-17 Cardiac Pacemakers, Inc. Implantable medical device with voice responding and recording capacity
US6442433B1 (en) 1999-10-26 2002-08-27 Medtronic, Inc. Apparatus and method for remote troubleshooting, maintenance and upgrade of implantable device systems
US6275727B1 (en) 1999-11-04 2001-08-14 Cardiac Pacemakers, Inc. Implantable cardiac rhythm management device for assessing status of CHF patients
US6480733B1 (en) 1999-11-10 2002-11-12 Pacesetter, Inc. Method for monitoring heart failure
US6440066B1 (en) 1999-11-16 2002-08-27 Cardiac Intelligence Corporation Automated collection and analysis patient care system and method for ordering and prioritizing multiple health disorders to identify an index disorder
WO2001039831A1 (en) 1999-12-06 2001-06-07 Advanced Bionics Corporation Implantable device programmer
US6602191B2 (en) 1999-12-17 2003-08-05 Q-Tec Systems Llp Method and apparatus for health and disease management combining patient data monitoring with wireless internet connectivity
US6920360B2 (en) 1999-12-21 2005-07-19 Medtronic, Inc. Large-scale processing loop for implantable medical devices
US6442432B2 (en) 1999-12-21 2002-08-27 Medtronic, Inc. Instrumentation and software for remote monitoring and programming of implantable medical devices (IMDs)
US6480745B2 (en) 1999-12-24 2002-11-12 Medtronic, Inc. Information network interrogation of an implanted device
US6650944B2 (en) 2000-02-23 2003-11-18 Medtronic, Inc. Follow-up monitoring method and system for implantable medical devices
US6443890B1 (en) 2000-03-01 2002-09-03 I-Medik, Inc. Wireless internet bio-telemetry monitoring system
US20030158493A1 (en) 2000-03-13 2003-08-21 Daniel Goor Method for determining hemodynamic state
US6650939B2 (en) 2000-03-17 2003-11-18 Medtronic, Inc. Universal interface for implantable medical device data management
US6438407B1 (en) 2000-03-20 2002-08-20 Medtronic, Inc. Method and apparatus for monitoring physiologic parameters conjunction with a treatment
US6592528B2 (en) 2000-03-23 2003-07-15 Seiko Epson Corporation Biological information evaluation apparatus
US6643548B1 (en) 2000-04-06 2003-11-04 Pacesetter, Inc. Implantable cardiac stimulation device for monitoring heart sounds to detect progression and regression of heart disease and method thereof
US6931273B2 (en) 2000-04-11 2005-08-16 University Of California San Francisco Database of body surface ECG P wave integral maps for localization of left-sided atrial arrhythmias
US6441747B1 (en) 2000-04-18 2002-08-27 Motorola, Inc. Wireless system protocol for telemetry monitoring
US6574511B2 (en) 2000-04-21 2003-06-03 Medtronic, Inc. Passive data collection system from a fleet of medical instruments and implantable devices
JP2001299702A (en) 2000-04-25 2001-10-30 Masashi Takechi Device and method for evaluating characteristic anxiety level
US6574503B2 (en) 2000-04-26 2003-06-03 Medtronic, Inc. GUI coding for identification of displayable data quality from medical devices
US6514195B1 (en) 2000-04-28 2003-02-04 Medtronic, Inc. Ischemic heart disease detection
US20010039503A1 (en) 2000-04-28 2001-11-08 Chan Bryan K. Method and system for managing chronic disease and wellness online
JP2001344352A (en) 2000-05-31 2001-12-14 Toshiba Corp Life assisting device, life assisting method and advertisement information providing method
US6577901B2 (en) 2000-06-23 2003-06-10 Medtronic, Inc. Network compatible RF wireless link for medical device data management
US20030050803A1 (en) 2000-07-20 2003-03-13 Marchosky J. Alexander Record system
US7024248B2 (en) 2000-10-16 2006-04-04 Remon Medical Technologies Ltd Systems and methods for communicating with implantable devices
US6764446B2 (en) 2000-10-16 2004-07-20 Remon Medical Technologies Ltd Implantable pressure sensors and methods for making and using them
US6628989B1 (en) 2000-10-16 2003-09-30 Remon Medical Technologies, Ltd. Acoustic switch and apparatus and methods for using acoustic switches within a body
US7273457B2 (en) 2000-10-16 2007-09-25 Remon Medical Technologies, Ltd. Barometric pressure correction based on remote sources of information
US6944495B2 (en) 2000-11-10 2005-09-13 C.R. Bard, Inc. Methods for processing electrocardiac signals having superimposed complexes
US6792308B2 (en) 2000-11-17 2004-09-14 Medtronic, Inc. Myocardial performance assessment
DE60106645T2 (en) 2000-12-01 2005-03-24 Medtronic, Inc., Minneapolis Apparatus for measurement of mean blood pressure in the pulmonary artery of the heart chamber from a mobile monitor
JP2002183312A (en) 2000-12-14 2002-06-28 Teijin Ltd Own health care support system and device
US7275220B2 (en) 2000-12-22 2007-09-25 Epic Systems Corporation System and method for a seamless user interface for an integrated electronic health care information system
US7181285B2 (en) 2000-12-26 2007-02-20 Cardiac Pacemakers, Inc. Expert system and method
US6438408B1 (en) 2000-12-28 2002-08-20 Medtronic, Inc. Implantable medical device for monitoring congestive heart failure
US7835925B2 (en) 2001-02-20 2010-11-16 The Procter & Gamble Company System for improving the management of the health of an individual and related methods
US20020138012A1 (en) 2001-03-20 2002-09-26 Morrison Hodges Multiple parameter electrocardiograph system
US6622045B2 (en) 2001-03-29 2003-09-16 Pacesetter, Inc. System and method for remote programming of implantable cardiac stimulation devices
US7092376B2 (en) 2001-03-30 2006-08-15 Hill-Rom Services, Inc. Hospital bed and network system
JP3861136B2 (en) 2001-04-19 2006-12-20 いであ株式会社 Medical weather forecast delivery system, medical weather forecast delivery method, medical weather forecast delivery program
US6533724B2 (en) 2001-04-26 2003-03-18 Abiomed, Inc. Decision analysis system and method for evaluating patient candidacy for a therapeutic procedure
US6816744B2 (en) 2001-05-29 2004-11-09 Reproductive Health Technologies, Inc. Device and system for remote for in-clinic trans-abdominal/vaginal/cervical acquisition, and detection, analysis, and communication of maternal uterine and maternal and fetal cardiac and fetal brain activity from electrical signals
US6526313B2 (en) 2001-06-05 2003-02-25 Cardiac Pacemakers, Inc. System and method for classifying cardiac depolarization complexes with multi-dimensional correlation
US6648823B2 (en) 2001-07-31 2003-11-18 Medtronic, Inc. Method and system of follow-up support for a medical device
US6937899B2 (en) 2001-08-30 2005-08-30 Medtronic, Inc. Ischemia detection
US6961617B1 (en) 2001-10-19 2005-11-01 Pacesetter, Inc. Method and apparatus to backup, update and share data among implantable cardiac stimulation device programmers
US7054679B2 (en) 2001-10-31 2006-05-30 Robert Hirsh Non-invasive method and device to monitor cardiac parameters
US6980851B2 (en) * 2001-11-15 2005-12-27 Cardiac Pacemakers, Inc. Method and apparatus for determining changes in heart failure status
US7729776B2 (en) 2001-12-19 2010-06-01 Cardiac Pacemakers, Inc. Implantable medical device with two or more telemetry systems
EP1458286A4 (en) 2001-12-26 2008-01-23 Mediwave Star Technology Inc Method and system for evaluating arrhythmia risk with qt-rr interval data sets
US20030144711A1 (en) 2002-01-29 2003-07-31 Neuropace, Inc. Systems and methods for interacting with an implantable medical device
US20030235816A1 (en) 2002-03-14 2003-12-25 Baylor College Of Medicine (By Slawin And Shariat) Method to determine outcome for patients with prostatic disease
US7031772B2 (en) 2002-04-29 2006-04-18 Medtronic, Inc. Method and apparatus for rate responsive adjustments in an implantable medical device
US7136705B1 (en) 2002-05-31 2006-11-14 Pacesetter, Inc. Method and apparatus for monitoring sensor performance during rate-responsive cardiac stimulation
US6955647B2 (en) 2002-06-17 2005-10-18 Rice William H System and method for repetitive interval clinical evaluations
US20040019287A1 (en) 2002-07-26 2004-01-29 Harley White Similarity recovery post shock
US6945939B2 (en) * 2002-10-18 2005-09-20 Pacesetter, Inc. Hemodynamic analysis
US20040088192A1 (en) 2002-11-04 2004-05-06 Schmidt Tim W. Medical office electronic management system
US20040122294A1 (en) 2002-12-18 2004-06-24 John Hatlestad Advanced patient management with environmental data
US6978182B2 (en) 2002-12-27 2005-12-20 Cardiac Pacemakers, Inc. Advanced patient management system including interrogator/transceiver unit
US7378955B2 (en) 2003-01-03 2008-05-27 Cardiac Pacemakers, Inc. System and method for correlating biometric trends with a related temporal event
US7136707B2 (en) 2003-01-21 2006-11-14 Cardiac Pacemakers, Inc. Recordable macros for pacemaker follow-up
US20040230456A1 (en) 2003-05-14 2004-11-18 Lozier Luke R. System for identifying candidates for ICD implantation
US7248923B2 (en) 2003-11-06 2007-07-24 Cardiac Pacemakers, Inc. Dual-use sensor for rate responsive pacing and heart sound monitoring
US7115096B2 (en) 2003-12-24 2006-10-03 Cardiac Pacemakers, Inc. Third heart sound activity index for heart failure monitoring
US7431699B2 (en) 2003-12-24 2008-10-07 Cardiac Pacemakers, Inc. Method and apparatus for third heart sound detection
US7856035B2 (en) 2004-05-05 2010-12-21 Welch Allyn, Inc. Method and apparatus for wireless transmission of data
US7209786B2 (en) 2004-06-10 2007-04-24 Cardiac Pacemakers, Inc. Method and apparatus for optimization of cardiac resynchronization therapy using heart sounds
US7480528B2 (en) 2004-07-23 2009-01-20 Cardiac Pacemakers, Inc. Method and apparatus for monitoring heart failure patients with cardiopulmonary comorbidities
US7559901B2 (en) 2004-07-28 2009-07-14 Cardiac Pacemakers, Inc. Determining a patient's posture from mechanical vibrations of the heart
US7680534B2 (en) 2005-02-28 2010-03-16 Cardiac Pacemakers, Inc. Implantable cardiac device with dyspnea measurement
US20100063840A1 (en) 2005-05-03 2010-03-11 Hoyme Kenneth P System and method for managing coordination of collected patient data in an automated patient management system
US20060253300A1 (en) 2005-05-03 2006-11-09 Somberg Benjamin L System and method for managing patient triage in an automated patient management system
US20080021287A1 (en) 2006-06-26 2008-01-24 Woellenstein Matthias D System and method for adaptively adjusting patient data collection in an automated patient management environment

Patent Citations (98)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4310003A (en) * 1978-02-06 1982-01-12 Schlager Kenneth J Thermographic method of physical examination of patients
US4519395A (en) * 1982-12-15 1985-05-28 Hrushesky William J M Medical instrument for noninvasive measurement of cardiovascular characteristics
US5731296A (en) * 1985-09-24 1998-03-24 Item Development Ab Selective vasodilation by continuous adenosine infusion
US4825869A (en) * 1987-09-28 1989-05-02 Telectronics N.V. System for automatically performing a clinical assessment of an implanted pacer based on information that is telemetrically received
US4809697A (en) * 1987-10-14 1989-03-07 Siemens-Pacesetter, Inc. Interactive programming and diagnostic system for use with implantable pacemaker
US4928688A (en) * 1989-01-23 1990-05-29 Mieczyslaw Mirowski Method and apparatus for treating hemodynamic disfunction
USRE38119E1 (en) * 1989-01-23 2003-05-20 Mirowski Family Ventures, LLC Method and apparatus for treating hemodynamic disfunction
US5031629A (en) * 1989-06-02 1991-07-16 Demarzo Arthur P Hypertension analyzer apparatus
US4987897A (en) * 1989-09-18 1991-01-29 Medtronic, Inc. Body bus medical device communication system
US5097831A (en) * 1990-04-16 1992-03-24 Siemens-Pacesetter, Inc. Rate-responsive pacemaker with circuitry for processing multiple sensor inputs
US5321618A (en) * 1990-05-29 1994-06-14 Lawrence Gessman Apparatus and method for remotely monitoring implanted cardioverter defibrillators
US5226413A (en) * 1990-08-14 1993-07-13 Medtronic, Inc. Rate responsive pacemaker and method for automatically initializing the same
US5113869A (en) * 1990-08-21 1992-05-19 Telectronics Pacing Systems, Inc. Implantable ambulatory electrocardiogram monitor
US5306293A (en) * 1990-11-23 1994-04-26 Fred Zacouto Device for the prevention of cardiac failures
US5292341A (en) * 1992-03-02 1994-03-08 Siemens Pacesetter, Inc. Method and system for determining and automatically adjusting the sensor parameters of a rate-responsive pacemaker
US5431691A (en) * 1992-03-02 1995-07-11 Siemens Pacesetter, Inc. Method and system for recording and displaying a sequential series of pacing events
US5330505A (en) * 1992-05-08 1994-07-19 Leonard Bloom System for and method of treating a malfunctioning heart
US5282838A (en) * 1992-06-08 1994-02-01 Cardiac Pacemakers, Inc. Dual chamber cardiac pacemaker employing hysteresis to maximize the number of normally conducted ventricular beats with an optimum A-V delay for paced ventricular beats
US6168563B1 (en) * 1992-11-17 2001-01-02 Health Hero Network, Inc. Remote health monitoring and maintenance system
US5421830A (en) * 1993-08-27 1995-06-06 Pacesetter, Inc. Programming system having means for recording and analyzing a patient's cardiac signal
US5594638A (en) * 1993-12-29 1997-01-14 First Opinion Corporation Computerized medical diagnostic system including re-enter function and sensitivity factors
US5732709A (en) * 1994-05-23 1998-03-31 Enact Health Management Systems System for monitoring and reporting medical measurements
US6249703B1 (en) * 1994-07-08 2001-06-19 Medtronic, Inc. Handheld patient programmer for implantable human tissue stimulator
US5626630A (en) * 1994-10-13 1997-05-06 Ael Industries, Inc. Medical telemetry system using an implanted passive transponder
US5540727A (en) * 1994-11-15 1996-07-30 Cardiac Pacemakers, Inc. Method and apparatus to automatically optimize the pacing mode and pacing cycle parameters of a dual chamber pacemaker
US5911132A (en) * 1995-04-26 1999-06-08 Lucent Technologies Inc. Method using central epidemiological database
US5752976A (en) * 1995-06-23 1998-05-19 Medtronic, Inc. World wide patient location and data telemetry system for implantable medical devices
US5630835A (en) * 1995-07-24 1997-05-20 Cardiac Control Systems, Inc. Method and apparatus for the suppression of far-field interference signals for implantable device data transmission systems
US5759199A (en) * 1995-08-02 1998-06-02 Pacesetter, Inc. System and method for ambulatory monitoring and programming of an implantable medical device
US5716382A (en) * 1995-08-02 1998-02-10 Pacesetter, Inc. Programmer for an implantable cardiac stimulating device
US5722999A (en) * 1995-08-02 1998-03-03 Pacesetter, Inc. System and method for storing and displaying historical medical data measured by an implantable medical device
US5724985A (en) * 1995-08-02 1998-03-10 Pacesetter, Inc. User interface for an implantable medical device using an integrated digitizer display screen
US5720771A (en) * 1995-08-02 1998-02-24 Pacesetter, Inc. Method and apparatus for monitoring physiological data from an implantable medical device
US6073048A (en) * 1995-11-17 2000-06-06 Medtronic, Inc. Baroreflex modulation with carotid sinus nerve stimulation for the treatment of heart failure
US5607460A (en) * 1996-03-15 1997-03-04 Angeion Corporation Physician interface expert system for programming implantable arrythmia treatment devices
US5891178A (en) * 1996-05-14 1999-04-06 Pacesetter, Inc. Programmer system and associated methods for rapidly evaluating and programming an implanted cardiac device
US6206829B1 (en) * 1996-07-12 2001-03-27 First Opinion Corporation Computerized medical diagnostic and treatment advice system including network access
US6411847B1 (en) * 1996-08-19 2002-06-25 Morton M. Mower Apparatus for applying cyclic pacing at an average rate just above the intrinsic heart rate
US5860918A (en) * 1996-11-22 1999-01-19 Hewlett-Packard Company Representation of a review of a patent's physiological parameters
US6015388A (en) * 1997-03-17 2000-01-18 Nims, Inc. Method for analyzing breath waveforms as to their neuromuscular respiratory implications
US5904708A (en) * 1998-03-19 1999-05-18 Medtronic, Inc. System and method for deriving relative physiologic signals
US6091990A (en) * 1998-03-25 2000-07-18 Cardiac Pacemakers, Inc. System for grouping and displaying cardiac arrhythmia data
US6016442A (en) * 1998-03-25 2000-01-18 Cardiac Pacemakers, Inc. System for displaying cardiac arrhythmia data
US6070101A (en) * 1998-04-28 2000-05-30 Medtronic, Inc. Multiple channel, sequential, cardiac pacing systems
US6542775B2 (en) * 1998-05-08 2003-04-01 Cardiac Pacemakers, Inc. Cardiac pacing using adjustable atrio-ventricular delays
US20030144703A1 (en) * 1998-05-08 2003-07-31 Yinghong Yu Method and apparatus for optimizing ventricular synchrony during DDD resynchronization therapy using adjustable atrio-ventricular delays
US20030144702A1 (en) * 1998-05-08 2003-07-31 Yinghong Yu Method and apparatus for optimizing stroke volume during DDD resynchronization therapy using adjustable atrio-ventricular delays
US6045513A (en) * 1998-05-13 2000-04-04 Medtronic, Inc. Implantable medical device for tracking patient functional status
US6093146A (en) * 1998-06-05 2000-07-25 Matsushita Electric Works, Ltd. Physiological monitoring
US6336900B1 (en) * 1999-04-12 2002-01-08 Agilent Technologies, Inc. Home hub for reporting patient health parameters
US6190324B1 (en) * 1999-04-28 2001-02-20 Medtronic, Inc. Implantable medical device for tracking patient cardiac status
US6240317B1 (en) * 1999-04-30 2001-05-29 Medtronic, Inc. Telemetry system for implantable medical devices
US20010007053A1 (en) * 1999-06-03 2001-07-05 Bardy Gust H. System and method for automated collection and analysis of patient information retreived from an implantable medical device for remote patient care
US20020013613A1 (en) * 1999-07-07 2002-01-31 Markus Haller System and method for remote programming of an implantable medical device
US20020052539A1 (en) * 1999-07-07 2002-05-02 Markus Haller System and method for emergency communication between an implantable medical device and a remote computer system or health care provider
US6250309B1 (en) * 1999-07-21 2001-06-26 Medtronic Inc System and method for transferring information relating to an implantable medical device to a remote location
US6687547B2 (en) * 1999-09-14 2004-02-03 Medtronic, Inc. Method and apparatus for communicating with an implantable medical device with DTMF tones
US6381496B1 (en) * 1999-10-01 2002-04-30 Advanced Bionics Corporation Parameter context switching for an implanted device
US20020016550A1 (en) * 1999-10-01 2002-02-07 Cardiac Pacemakers, Inc. Cardiac rhythm management system with arrhythmia prediction and prevention
US6351675B1 (en) * 1999-10-04 2002-02-26 Medtronic, Inc. System and method of programming an implantable medical device
US6249705B1 (en) * 1999-10-21 2001-06-19 Pacesetter, Inc. Distributed network system for use with implantable medical devices
US6411840B1 (en) * 1999-11-16 2002-06-25 Cardiac Intelligence Corporation Automated collection and analysis patient care system and method for diagnosing and monitoring the outcomes of atrial fibrillation
US6336903B1 (en) * 1999-11-16 2002-01-08 Cardiac Intelligence Corp. Automated collection and analysis patient care system and method for diagnosing and monitoring congestive heart failure and outcomes thereof
US6398728B1 (en) * 1999-11-16 2002-06-04 Cardiac Intelligence Corporation Automated collection and analysis patient care system and method for diagnosing and monitoring respiratory insufficiency and outcomes thereof
US6368284B1 (en) * 1999-11-16 2002-04-09 Cardiac Intelligence Corporation Automated collection and analysis patient care system and method for diagnosing and monitoring myocardial ischemia and outcomes thereof
US6878112B2 (en) * 1999-12-17 2005-04-12 Medtronic, Inc. Virtual remote monitor, alert, diagnostics and programming for implantable medical device systems
US7060031B2 (en) * 1999-12-17 2006-06-13 Medtronic, Inc. Method and apparatus for remotely programming implantable medical devices
US6564104B2 (en) * 1999-12-24 2003-05-13 Medtronic, Inc. Dynamic bandwidth monitor and adjuster for remote communications with a medical device
US20020026223A1 (en) * 1999-12-24 2002-02-28 Riff Kenneth M. Method and a system for using implanted medical device data for accessing therapies
US6564105B2 (en) * 2000-01-21 2003-05-13 Medtronic Minimed, Inc. Method and apparatus for communicating between an ambulatory medical device and a control device via telemetry using randomized data
US20030055406A1 (en) * 2000-01-21 2003-03-20 Lebel Ronald J. Ambulatory medical apparatus with hand held communication device
US6383136B1 (en) * 2000-03-06 2002-05-07 Charlyn Jordan Health analysis and forecast of abnormal conditions
US6544174B2 (en) * 2000-05-19 2003-04-08 Welch Allyn Protocol, Inc. Patient monitoring system
US20020049482A1 (en) * 2000-06-14 2002-04-25 Willa Fabian Lifestyle management system
US20020026103A1 (en) * 2000-06-14 2002-02-28 Medtronic, Inc. Deep computing applications in medical device systems
US6735479B2 (en) * 2000-06-14 2004-05-11 Medtronic, Inc. Lifestyle management system
US20020019586A1 (en) * 2000-06-16 2002-02-14 Eric Teller Apparatus for monitoring health, wellness and fitness
US20020045808A1 (en) * 2000-08-18 2002-04-18 Russell Ford Formulation and manipulation of databases of analyte and associated values
US20050021370A1 (en) * 2000-08-29 2005-01-27 Medtronic, Inc. Medical device systems implemented network scheme for remote patient management
US6738671B2 (en) * 2000-10-26 2004-05-18 Medtronic, Inc. Externally worn transceiver for use with an implantable medical device
US20020077562A1 (en) * 2000-12-15 2002-06-20 James Kalgren System and method for correlation of patient health information and implant device data
US7047065B2 (en) * 2000-12-15 2006-05-16 Cardiac Pacemakers, Inc. System and method for correlation of patient health information and implant device data
US20020082868A1 (en) * 2000-12-27 2002-06-27 Pories Walter J. Systems, methods and computer program products for creating and maintaining electronic medical records
US20030074029A1 (en) * 2000-12-28 2003-04-17 Deno D. Curtis Implantable medical device for treating cardiac mechanical dysfunction by electrical stimulation
US20030088290A1 (en) * 2001-11-07 2003-05-08 Spinelli Julio C. Centralized management system for programmable medical devices
US20030093127A1 (en) * 2001-11-09 2003-05-15 Nirav Dalal Presentation architecture for network supporting implantable cardiac therapy devices
US7043305B2 (en) * 2002-03-06 2006-05-09 Cardiac Pacemakers, Inc. Method and apparatus for establishing context among events and optimizing implanted medical device performance
US20040073093A1 (en) * 2002-10-11 2004-04-15 Cardiac Pacemakers, Inc. Methods and devices for detection of context when addressing a medical condition of a patient
US20040117204A1 (en) * 2002-12-17 2004-06-17 Cardiac Pacemakers, Inc. Repeater device for communications with an implantable medical device
US20040122296A1 (en) * 2002-12-18 2004-06-24 John Hatlestad Advanced patient management for triaging health-related data
US20040122297A1 (en) * 2002-12-18 2004-06-24 Stahmann Jeffrey E. Advanced patient management for identifying, displaying and assisting with correlating health-related data
US20040122295A1 (en) * 2002-12-18 2004-06-24 John Hatlestad Advanced patient management for triaging health-related data using color codes
US20040122484A1 (en) * 2002-12-18 2004-06-24 John Hatlestad Advanced patient management for defining, identifying and using predetermined health-related events
US20040122486A1 (en) * 2002-12-18 2004-06-24 Stahmann Jeffrey E. Advanced patient management for acquiring, trending and displaying health-related parameters
US20040122487A1 (en) * 2002-12-18 2004-06-24 John Hatlestad Advanced patient management with composite parameter indices
US20040122485A1 (en) * 2002-12-18 2004-06-24 Stahmann Jeffrey E. Advanced patient management for reporting multiple health-related parameters
US20050042589A1 (en) * 2003-08-18 2005-02-24 Hatlestad John D. Sleep quality data collection and evaluation
US7203549B2 (en) * 2003-10-02 2007-04-10 Medtronic, Inc. Medical device programmer with internal antenna and display

Cited By (133)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8555882B2 (en) 1997-03-14 2013-10-15 Covidien Lp Ventilator breath display and graphic user interface
US8555881B2 (en) 1997-03-14 2013-10-15 Covidien Lp Ventilator breath display and graphic interface
US8386036B2 (en) 2000-12-26 2013-02-26 Cardiac Pacemakers, Inc. Expert system and method
US20040243126A1 (en) * 2001-09-14 2004-12-02 Stryker Spine Methods for stabilizing bone using spinal fixation devices
US20030088290A1 (en) * 2001-11-07 2003-05-08 Spinelli Julio C. Centralized management system for programmable medical devices
US20080077031A1 (en) * 2001-11-07 2008-03-27 Cardiac Pacemakers, Inc. System and method for remote expert-system medical device programming
US8755897B2 (en) 2001-11-07 2014-06-17 Cardiac Pacemakers, Inc. System and method for remote expert-system medical device programming
US8160716B2 (en) 2002-03-06 2012-04-17 Cardiac Pacemakers, Inc. Method and apparatus for establishing context among events and optimizing implanted medical device performance
US8694116B2 (en) 2002-03-06 2014-04-08 Cardiac Pacemakers, Inc. Method and apparatus for establishing context among events and optimizing implanted medical device performance
US9480848B2 (en) 2002-03-06 2016-11-01 Cardiac Pacemakers, Inc. Advanced patient management with environmental data
US7805199B2 (en) 2002-03-06 2010-09-28 Cardiac Pacemakers, Inc. Method and apparatus for establishing context among events and optimizing implanted medical device performance
US9375566B2 (en) 2002-03-06 2016-06-28 Cardiac Pacemakers, Inc. Device for reporting heart failure status
US8543215B2 (en) 2002-12-18 2013-09-24 Cardiac Pacemakers, Inc. Advanced patient management for defining, identifying and using predetermined health-related events
US7983759B2 (en) 2002-12-18 2011-07-19 Cardiac Pacemakers, Inc. Advanced patient management for reporting multiple health-related parameters
US7959568B2 (en) 2002-12-18 2011-06-14 Cardiac Pacemakers, Inc. Advanced patient management for identifying, displaying and assisting with correlating health-related data
US20040122297A1 (en) * 2002-12-18 2004-06-24 Stahmann Jeffrey E. Advanced patient management for identifying, displaying and assisting with correlating health-related data
US20040122295A1 (en) * 2002-12-18 2004-06-24 John Hatlestad Advanced patient management for triaging health-related data using color codes
US8301252B2 (en) 2002-12-18 2012-10-30 Cardiac Pacemakers, Inc. Advanced patient management with composite parameter indices
US8391989B2 (en) 2002-12-18 2013-03-05 Cardiac Pacemakers, Inc. Advanced patient management for defining, identifying and using predetermined health-related events
US8043213B2 (en) 2002-12-18 2011-10-25 Cardiac Pacemakers, Inc. Advanced patient management for triaging health-related data using color codes
US8639318B2 (en) 2002-12-18 2014-01-28 Cardiac Pacemakers, Inc. Advanced patient management with composite parameter indices
US7983745B2 (en) 2002-12-18 2011-07-19 Cardiac Pacemakers, Inc. Advanced patient management with environmental data
US20080027757A1 (en) * 2003-01-03 2008-01-31 Cardiac Pacemakers, Inc. System and method for correlating biometric trends with a related temporal event
US7378955B2 (en) 2003-01-03 2008-05-27 Cardiac Pacemakers, Inc. System and method for correlating biometric trends with a related temporal event
US8054178B2 (en) 2003-01-03 2011-11-08 Cardiac Pacemakers, Inc. System and method for correlating biometric trends with a related temporal event
US7554438B2 (en) 2003-01-03 2009-06-30 Cardiac Pacemakers, Inc. System and method for correlating biometric trends with a related temporal event
US20040133080A1 (en) * 2003-01-03 2004-07-08 Mazar Scott Thomas System and method for correlating biometric trends with a related temporal event
US8417350B2 (en) 2003-01-21 2013-04-09 Cardiac Pacemakers, Inc. Recordable macros for pacemaker follow-up
US20040230456A1 (en) * 2003-05-14 2004-11-18 Lozier Luke R. System for identifying candidates for ICD implantation
US20050060186A1 (en) * 2003-08-28 2005-03-17 Blowers Paul A. Prioritized presentation of medical device events
US20100262032A1 (en) * 2004-03-04 2010-10-14 Freeberg Scott M Systems and Methods for Indicating Aberrant Behavior Detected by an Implanted Medical Device
US7751894B1 (en) * 2004-03-04 2010-07-06 Cardiac Pacemakers, Inc. Systems and methods for indicating aberrant behavior detected by an implanted medical device
US8145590B2 (en) 2004-07-12 2012-03-27 Cardiac Pacemakers, Inc. Expert system for patient medical information analysis
US7433853B2 (en) 2004-07-12 2008-10-07 Cardiac Pacemakers, Inc. Expert system for patient medical information analysis
US20060010090A1 (en) * 2004-07-12 2006-01-12 Marina Brockway Expert system for patient medical information analysis
US8390455B2 (en) 2005-02-08 2013-03-05 Abbott Diabetes Care Inc. RF tag on test strips, test strip vials and boxes
US8223021B2 (en) 2005-02-08 2012-07-17 Abbott Diabetes Care Inc. RF tag on test strips, test strip vials and boxes
US8115635B2 (en) 2005-02-08 2012-02-14 Abbott Diabetes Care Inc. RF tag on test strips, test strip vials and boxes
US8542122B2 (en) 2005-02-08 2013-09-24 Abbott Diabetes Care Inc. Glucose measurement device and methods using RFID
US8358210B2 (en) 2005-02-08 2013-01-22 Abbott Diabetes Care Inc. RF tag on test strips, test strip vials and boxes
US7343260B1 (en) 2005-06-30 2008-03-11 Fullpower, Inc. Method and apparatus to provide an interface to obtain data from a real-time monitor
US20070024441A1 (en) * 2005-07-29 2007-02-01 Philippe Kahn Monitor, alert, control, and share (MACS) system
US7839279B2 (en) 2005-07-29 2010-11-23 Dp Technologies, Inc. Monitor, alert, control, and share (MACS) system
US20100298732A1 (en) * 2005-09-16 2010-11-25 Yi Zhang Rapid Shallow Breathing Detection for use in Congestive Heart Failure Status Determination
US7993280B2 (en) 2005-09-16 2011-08-09 Cardiac Pacemakers, Inc. Rapid shallow breathing detection for use in congestive heart failure status determination
US20070073168A1 (en) * 2005-09-16 2007-03-29 Yi Zhang Rapid shallow breathing detection for use in congestive heart failure status determination
US7775983B2 (en) * 2005-09-16 2010-08-17 Cardiac Pacemakers, Inc. Rapid shallow breathing detection for use in congestive heart failure status determination
US7849184B1 (en) 2005-10-07 2010-12-07 Dp Technologies, Inc. Method and apparatus of monitoring the status of a sensor, monitor, or device (SMD)
US9351652B2 (en) 2005-10-14 2016-05-31 Medicalgorithmics S.A. Systems for safe and remote outpatient ECG monitoring
US8696589B2 (en) 2005-12-01 2014-04-15 Cardiac Pacemakers, Inc. Method and system for heart failure status evaluation based on a disordered breathing index
US7766840B2 (en) 2005-12-01 2010-08-03 Cardiac Pacemakers, Inc. Method and system for heart failure status evaluation based on a disordered breathing index
US20100298733A1 (en) * 2005-12-01 2010-11-25 Jonathan Kwok Method and System for Heart Failure Status Evaluation Based on a Disordered Breathing Index
US8998821B2 (en) 2005-12-14 2015-04-07 Cardiac Pacemakers, Inc. Systems and methods for determining respiration metrics
US8496596B2 (en) 2005-12-14 2013-07-30 Cardiac Pacemakers, Inc. Systems and methods for determining respiration metrics
US20100137730A1 (en) * 2005-12-14 2010-06-03 John Hatlestad Systems and Methods for Determining Respiration Metrics
US8359288B1 (en) 2005-12-30 2013-01-22 Dp Technologies, Inc. Method and apparatus to utilize sensor, monitor, device (SMD) data based on location
US9683860B1 (en) 2005-12-30 2017-06-20 Dp Technologies, Inc. Method and apparatus to utilize sensor, monitor, device (SMD) data based on location
US7747735B1 (en) 2006-02-02 2010-06-29 Dp Technologies, Inc. Method and apparatus for seamlessly acquiring data from various sensor, monitor, device (SMDs)
US8864663B1 (en) 2006-03-01 2014-10-21 Dp Technologies, Inc. System and method to evaluate physical condition of a user
US8725527B1 (en) 2006-03-03 2014-05-13 Dp Technologies, Inc. Method and apparatus to present a virtual user
US9875337B2 (en) 2006-03-03 2018-01-23 Dp Technologies, Inc. Method and apparatus to present a virtual user
US20070239057A1 (en) * 2006-03-29 2007-10-11 Yanchuan Pu Periodic disordered breathing detection
US7819816B2 (en) 2006-03-29 2010-10-26 Cardiac Pacemakers, Inc. Periodic disordered breathing detection
US20110040201A1 (en) * 2006-03-29 2011-02-17 Yanchuan Pu Periodic Disordered Breathing Detection
US8597198B2 (en) 2006-04-21 2013-12-03 Covidien Lp Work of breathing display for a ventilation system
US9390229B1 (en) 2006-04-26 2016-07-12 Dp Technologies, Inc. Method and apparatus for a health phone
US7884709B2 (en) 2006-06-05 2011-02-08 Cardiac Pacemakers, Inc. System and method for providing a synergistic alert condition processing in an automated patient management system
US8009033B2 (en) 2006-06-05 2011-08-30 Cardiac Pacemakers, Inc. System and method for providing synergistic alert condition processing in an automated patient management system
US7649449B2 (en) 2006-06-05 2010-01-19 Cardiac Pacemakers, Inc. System and method for providing synergistic alert condition processing in an automated patient management system
US20110106555A1 (en) * 2006-06-05 2011-05-05 Cardiac Pacemakers, Inc. System and method for providing synergistic alert condition processing in an automated patient management system
US20070279211A1 (en) * 2006-06-05 2007-12-06 Fenske Matthew System and method for providing synergistic alert condition processing in an automated patient management system
US8902154B1 (en) 2006-07-11 2014-12-02 Dp Technologies, Inc. Method and apparatus for utilizing motion user interface
US9495015B1 (en) 2006-07-11 2016-11-15 Dp Technologies, Inc. Method and apparatus for utilizing motion user interface to determine command availability
US8453645B2 (en) 2006-09-26 2013-06-04 Covidien Lp Three-dimensional waveform display for a breathing assistance system
US20120226112A1 (en) * 2006-12-19 2012-09-06 Leboeuf Steven Francis Physiological and environmental monitoring systems and methods
US8702607B2 (en) 2006-12-19 2014-04-22 Valencell, Inc. Targeted advertising systems and methods
US20110098112A1 (en) * 2006-12-19 2011-04-28 Leboeuf Steven Francis Physiological and Environmental Monitoring Systems and Methods
US8620353B1 (en) 2007-01-26 2013-12-31 Dp Technologies, Inc. Automatic sharing and publication of multimedia from a mobile device
US8949070B1 (en) 2007-02-08 2015-02-03 Dp Technologies, Inc. Human activity monitoring device with activity identification
US8000532B2 (en) 2007-02-28 2011-08-16 Medtronic, Inc. Digital pen to capture data in ambulatory monitored patients
US20080208007A1 (en) * 2007-02-28 2008-08-28 Van Hove Jos W Digital Pen to Capture Data in Ambulatory Monitored Patients
US9138151B2 (en) 2007-03-14 2015-09-22 Cardiac Pacemakers, Inc. Method and apparatus for management of heart failure hospitalization
US9730592B2 (en) 2007-03-14 2017-08-15 Cardiac Pacemakers, Inc. Method and apparatus for management of heart failure hospitalization
US7873414B2 (en) 2007-04-17 2011-01-18 Cardiac Pacemakers, Inc. Patient characteristic based adaptive anti-tachy pacing programming
US20080262558A1 (en) * 2007-04-17 2008-10-23 Cardiac Pacemakers, Inc. Patient characteristic based adaptive anti-tachy pacing programming
US8521267B1 (en) * 2007-06-29 2013-08-27 Pacesetter, Inc. Methods and systems for trending ST segment changes over time
US8555282B1 (en) 2007-07-27 2013-10-08 Dp Technologies, Inc. Optimizing preemptive operating system with motion sensing
US9183044B2 (en) 2007-07-27 2015-11-10 Dp Technologies, Inc. Optimizing preemptive operating system with motion sensing
US9808204B2 (en) 2007-10-25 2017-11-07 Valencell, Inc. Noninvasive physiological analysis using excitation-sensor modules and related devices and methods
US9044180B2 (en) 2007-10-25 2015-06-02 Valencell, Inc. Noninvasive physiological analysis using excitation-sensor modules and related devices and methods
US9079033B2 (en) 2008-01-22 2015-07-14 Cardiac Pacemakers, Inc. Respiration as a trigger for therapy optimization
US20090234240A1 (en) * 2008-01-22 2009-09-17 Kuenzler Richard O Respiration as a Trigger for Therapy Optimization
US20090274317A1 (en) * 2008-04-30 2009-11-05 Philippe Kahn Headset
US8320578B2 (en) 2008-04-30 2012-11-27 Dp Technologies, Inc. Headset
US8285344B2 (en) 2008-05-21 2012-10-09 DP Technlogies, Inc. Method and apparatus for adjusting audio for a user environment
US8996332B2 (en) 2008-06-24 2015-03-31 Dp Technologies, Inc. Program setting adjustments based on activity identification
US9797920B2 (en) 2008-06-24 2017-10-24 DPTechnologies, Inc. Program setting adjustments based on activity identification
US9063897B2 (en) * 2008-06-26 2015-06-23 Microsoft Technology Licensing, Llc Policy-based secure information disclosure
US20090328130A1 (en) * 2008-06-26 2009-12-31 Microsoft Corporation Policy-based secure information disclosure
US8872646B2 (en) 2008-10-08 2014-10-28 Dp Technologies, Inc. Method and system for waking up a device due to motion
US8769153B2 (en) 2008-11-17 2014-07-01 Medicalgorithmics S.A. Outpatient monitoring systems and methods
US20110213620A1 (en) * 2008-11-17 2011-09-01 Medicalgorithmics Ltd. Outpatient Monitoring Systems and Methods
US9775516B2 (en) 2008-11-17 2017-10-03 Medicalgorithmics S.A. Outpatient monitoring systems and methods
US9603523B2 (en) 2008-11-17 2017-03-28 Medicalgorithmics S.A Outpatient monitoring systems and methods
US9706921B2 (en) 2008-11-17 2017-07-18 Medicalgorithmics S.A. Outpatient monitoring systems and methods
US9289175B2 (en) 2009-02-25 2016-03-22 Valencell, Inc. Light-guiding devices and monitoring devices incorporating same
US9289135B2 (en) 2009-02-25 2016-03-22 Valencell, Inc. Physiological monitoring methods and apparatus
US9750462B2 (en) 2009-02-25 2017-09-05 Valencell, Inc. Monitoring apparatus and methods for measuring physiological and/or environmental conditions
US9301696B2 (en) 2009-02-25 2016-04-05 Valencell, Inc. Earbud covers
US9314167B2 (en) 2009-02-25 2016-04-19 Valencell, Inc. Methods for generating data output containing physiological and motion-related information
US9131312B2 (en) 2009-02-25 2015-09-08 Valencell, Inc. Physiological monitoring methods
US8989830B2 (en) 2009-02-25 2015-03-24 Valencell, Inc. Wearable light-guiding devices for physiological monitoring
US9529437B2 (en) 2009-05-26 2016-12-27 Dp Technologies, Inc. Method and apparatus for a motion state aware device
US20110009760A1 (en) * 2009-07-10 2011-01-13 Yi Zhang Hospital Readmission Alert for Heart Failure Patients
US8335992B2 (en) 2009-12-04 2012-12-18 Nellcor Puritan Bennett Llc Visual indication of settings changes on a ventilator graphical user interface
US8924878B2 (en) 2009-12-04 2014-12-30 Covidien Lp Display and access to settings on a ventilator graphical user interface
US9119925B2 (en) 2009-12-04 2015-09-01 Covidien Lp Quick initiation of respiratory support via a ventilator user interface
US8499252B2 (en) 2009-12-18 2013-07-30 Covidien Lp Display of respiratory data graphs on a ventilator graphical user interface
US8443294B2 (en) 2009-12-18 2013-05-14 Covidien Lp Visual indication of alarms on a ventilator graphical user interface
US9262588B2 (en) 2009-12-18 2016-02-16 Covidien Lp Display of respiratory data graphs on a ventilator graphical user interface
WO2011124461A1 (en) * 2010-04-06 2011-10-13 Poesl Hans Data-med box
CN103249355A (en) * 2010-12-14 2013-08-14 金伯利-克拉克环球有限公司 Method and system for monitoring nutritional uptake as a function of microflora intestinal gas levels
US9788785B2 (en) 2011-07-25 2017-10-17 Valencell, Inc. Apparatus and methods for estimating time-state physiological parameters
US9427191B2 (en) 2011-07-25 2016-08-30 Valencell, Inc. Apparatus and methods for estimating time-state physiological parameters
US9521962B2 (en) 2011-07-25 2016-12-20 Valencell, Inc. Apparatus and methods for estimating time-state physiological parameters
US9801552B2 (en) 2011-08-02 2017-10-31 Valencell, Inc. Systems and methods for variable filter adjustment by heart rate metric feedback
WO2013107799A1 (en) * 2012-01-19 2013-07-25 Implandata Ophthalmic Products Gmbh Method and device for continuous measurement of intraocular pressures
US20150321020A1 (en) * 2012-08-29 2015-11-12 Koninklijke Philips N.V. Environment and use monitoring system for advanced life support devices
US9808635B2 (en) * 2012-08-29 2017-11-07 Koninklijke Philips N.V. Environment and use monitoring system for advanced life support devices
JP2015526228A (en) * 2012-08-29 2015-09-10 コーニンクレッカ フィリップス エヌ ヴェ Environment and usage monitoring system for advanced life support devices
US9743889B2 (en) 2013-08-05 2017-08-29 Cardiac Pacemakers, Inc. System and method for detecting worsening of heart failure based on rapid shallow breathing index
US9538921B2 (en) 2014-07-30 2017-01-10 Valencell, Inc. Physiological monitoring devices with adjustable signal analysis and interrogation power and monitoring methods using same
US9794653B2 (en) 2014-09-27 2017-10-17 Valencell, Inc. Methods and apparatus for improving signal quality in wearable biometric monitoring devices

Also Published As

Publication number Publication date Type
US7983745B2 (en) 2011-07-19 grant
US9480848B2 (en) 2016-11-01 grant
US20090124917A1 (en) 2009-05-14 application
US20170035297A1 (en) 2017-02-09 application
US20110275941A1 (en) 2011-11-10 application

Similar Documents

Publication Publication Date Title
US5749907A (en) System and method for identifying and displaying medical data which violate programmable alarm conditions
US6704595B2 (en) Automated method for diagnosing and monitoring the outcomes of atrial fibrillation
US4531527A (en) Ambulatory monitoring system with real time analysis and telephone transmission
US6190324B1 (en) Implantable medical device for tracking patient cardiac status
US6599250B2 (en) Heart failure monitor quicklook summary for patient management systems
US6925324B2 (en) System and device for multi-scale analysis and representation of physiological data
US8620418B1 (en) Systems and methods for processing and displaying patient electrocardiograph data
US7460899B2 (en) Apparatus and method for monitoring heart rate variability
US20050075542A1 (en) System and method for automatic monitoring of the health of a user
US20070213600A1 (en) Medical alarm and communication system and methods
US20060235324A1 (en) System and method for applying continuous positive airway pressure
US20030144829A1 (en) System and method for sensing and evaluating physiological parameters and modeling an adaptable predictive analysis for symptoms management
US20060200009A1 (en) Trending display of patient wellness
US6951539B2 (en) System and method for ordering and prioritizing multiple health disorders for automated remote patient care
US20060094972A1 (en) Techniques for user-activated data retention in an implantable medical device
US20060287691A1 (en) Methods for data retention in an implantable medical device
US8310336B2 (en) Systems and methods for storing, analyzing, retrieving and displaying streaming medical data
US20070219419A1 (en) System and method for providing closely-followed cardiac therapy management through automated patient care
US7572225B2 (en) Sleep logbook
US20040111014A1 (en) Systems and methods for providing sensor fusion
US5720771A (en) Method and apparatus for monitoring physiological data from an implantable medical device
US20060161213A1 (en) Method of graphical display of link status and fail-safe mechanism for safety during real-time medical device therapy
US8274360B2 (en) Systems and methods for storing, analyzing, and retrieving medical data
US20060167367A1 (en) Method and system for collecting data on a plurality of patients
US6827690B2 (en) System and method for providing diagnosis and monitoring of myocardial ischemia for use in automated patient care

Legal Events

Date Code Title Description
AS Assignment

Owner name: CARDIAC PACEMAKERS, INC., MINNESOTA

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:HATLESTAD, JOHN;STAHMANN, JEFFREY E.;ZHU, QINGSHENG;REEL/FRAME:013908/0990

Effective date: 20030303