US20140221787A1 - System for monitoring and presenting health, wellness and fitness data having user selectable parameter - Google Patents

System for monitoring and presenting health, wellness and fitness data having user selectable parameter Download PDF

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Publication number
US20140221787A1
US20140221787A1 US14249135 US201414249135A US2014221787A1 US 20140221787 A1 US20140221787 A1 US 20140221787A1 US 14249135 US14249135 US 14249135 US 201414249135 A US201414249135 A US 201414249135A US 2014221787 A1 US2014221787 A1 US 2014221787A1
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data
individual
device
sensor
user
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US14249135
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Eric Teller
John M. Stivoric
Christopher D. Kasabach
Christopher D. Pacione
John L. Moss
Craig B. Liden
Margaret A. McCormack
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BodyMedia Inc
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BodyMedia Inc
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    • H04Q2213/13104Central control, computer control
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04QSELECTING
    • H04Q2213/00Indexing scheme relating to selecting arrangements in general and for multiplex systems
    • H04Q2213/13389LAN, internet

Abstract

The invention is a wireless communications device, such as a cellular telephone, having sensors to generate data indicative of a physiological or contextual parameters of a user. A processor on the wireless communications device is adapted derive physiological state information of the user from the contextual or physiological parameters. The apparatus may include a central monitoring unit remote from the sensors for storing data and transmitting data to a recipient.

Description

    CROSS REFERENCE TO A RELATED APPLICATIONS
  • [0001]
    This application is a continuation of co-pending U.S. application Ser. No. 10/638,588 filed Aug. 11, 2003, which is a continuation of Ser. No. 09/602,537, filed Jun. 23, 2000, which issued as U.S. Pat. No. 6,605,038. U.S. application Ser. No. 09/602,537 was a continuation-in-part of co-pending U.S. application Ser. No. 09/595,660, filed Jun. 16, 2000.
  • FIELD OF THE INVENTION
  • [0002]
    The present invention relates to a system for monitoring health, wellness and fitness, and in particular, to a system for collecting, using a sensor device, and storing at a remote site data relating to an individual's physiological state, lifestyle, and various contextual parameters, and making such data and analytical information based on such data available to the individual, preferably over an electronic network.
  • BACKGROUND OF THE INVENTION
  • [0003]
    Research has shown that a large number of the top health problems in society are either caused in whole or in part by an unhealthy lifestyle. More and more, our society requires people to lead fast-paced, achievement-oriented lifestyles that often result in poor eating habits, high stress levels, lack of exercise, poor sleep habits and the inability to find the time to center the mind and relax. Recognizing this fact, people are becoming increasingly interested in establishing a healthier lifestyle.
  • [0004]
    Traditional medicine, embodied in the form of an HMO or similar organizations, does not have the time, the training, or the reimbursement mechanism to address the needs of those individuals interested in a healthier lifestyle. There have been several attempts to meet the needs of these individuals, including a perfusion of fitness programs and exercise equipment, dietary plans, self-help books, alternative therapies, and most recently, a plethora of health information web sites on the Internet. Each of these attempts are targeted to empower the individual to take charge and get healthy. Each of these attempts, however, addresses only part of the needs of individuals seeking a healthier lifestyle and ignores many of the real barriers that most individuals face when trying to adopt a healthier lifestyle. These barriers include the fact that the individual is often left to himself or herself to find motivation, to implement a plan for achieving a healthier lifestyle, to monitor progress, and to brainstorm solutions when problems arise; the fact that existing programs are directed to only certain aspects of a healthier lifestyle, and rarely come as a complete package; and the fact that recommendations are often not targeted to the unique characteristics of the individual or his life circumstances.
  • SUMMARY OF THE INVENTION
  • [0005]
    An apparatus for monitoring human status parameters is disclosed which includes at least two sensors adapted to be worn on an individual's body. At least one of the sensors is a physiological sensor selected from the group consisting of respiration sensors, temperature sensors, heat flux sensors, body conductance sensors, body resistance sensors, body potential sensors, brain activity sensors, blood pressure sensors, body impedance sensors, body motion sensors, oxygen consumption sensors, body chemistry sensors, body position sensors, body pressure sensors, light absorption sensors, body sound sensors, piezoelectric sensors, electrochemical sensors, strain gauges, and optical sensors. The sensors are adapted to generate data indicative of at least a first parameter of the individual and a second parameter of the individual, wherein the first parameter is a physiological parameter. The apparatus also includes a processor that receives at least a portion of the data indicative of the first parameter and the second parameter. The processor is adapted to generate derived data from at least a portion of the data indicative of a first parameter and a second parameter, wherein the derived data comprises a third parameter of the individual. The third parameter is an individual status parameter that cannot be directly detected by either of the at least two sensors.
  • [0006]
    In an alternate embodiment, an apparatus for monitoring human status parameters is disclosed that includes at least two sensors adapted to be worn on an individual's body selected from the group consisting of physiological sensors and contextual sensors, wherein at least one of the sensors is a physiological sensor. The sensors are adapted to generate data indicative of at least a first parameter of the individual and a second parameter of the individual, wherein the first parameter is physiological. The apparatus also includes a processor for receiving at least a portion of the data indicative of at least a first parameter and a second parameter, the processor being adapted to generate derived data from the data indicative of at least a first parameter and a second parameter. The derived data comprises a third parameter of the individual selected from the group consisting of ovulation state, sleep state, calories burned, basal metabolic rate, basal temperature, physical activity level, stress level, relaxation level, oxygen consumption rate, rise time, time in zone, recovery time, and nutrition activity. The third parameter is an individual status parameter that cannot be directly detected by any of the at least two sensors.
  • [0007]
    In either embodiment of the apparatus, the at least two sensors may be both physiological sensors, or may be one physiological sensor and one contextual sensor. The apparatus may further include a housing adapted to be worn on the individual's body, wherein the housing supports the sensors or wherein at least one of the sensors is separately located from the housing. The apparatus may further include a flexible body supporting the housing having first and second members that are adapted to wrap around a portion of the individual's body. The flexible body may support one or more of the sensors. The apparatus may further include wrapping means coupled to the housing for maintaining contact between the housing and the individual's body, and the wrapping means may support one or more of the sensors.
  • [0008]
    Either embodiment of the apparatus may further include a central monitoring unit remote from the at least two sensors that includes a data storage device. The data storage device receives the derived data from the processor and retrievably stores the derived data therein. The apparatus also includes means for transmitting information based on the derived data from the central monitoring unit to a recipient, which recipient may include the individual or a third party authorized by the individual. The processor may be supported by a housing adapted to be worn on the individual's body, or alternatively may be part of the central monitoring unit.
  • [0009]
    The apparatus may be further adapted to obtain life activities data of the individual, wherein the information transmitted from the central monitoring unit is also based on the life activities data. The central monitoring unit may also be adapted to generate and provide feedback relating to the degree to which the individual has followed a suggested routine. The feedback may be generated from at least a portion of at least one of the data indicative of at least a first parameter and a second parameter, the derived data and the life activities data. The central monitoring unit may also be adapted to generate and provide feedback to a recipient relating to management of an aspect of at least one of the individual's health and lifestyle. This feedback may be generated from at least one of the data indicative of a first parameter, the data indicative of a second parameter and the derived data. The feedback may include suggestions for modifying the individual's behavior.
  • BRIEF DESCRIPTION OF THE DRAWINGS
  • [0010]
    Further features and advantages of the present invention will be apparent upon consideration of the following detailed description of the present invention, taken in conjunction with the following drawings, in which like reference characters refer to like parts, and in which:
  • [0011]
    FIG. 1 is a diagram of an embodiment of a system for monitoring physiological data and lifestyle over an electronic network according to the present invention;
  • [0012]
    FIG. 2 is a block diagram of an embodiment of the sensor device shown in FIG. 1;
  • [0013]
    FIG. 3 is a block diagram of an embodiment of the central monitoring unit shown in FIG. 1;
  • [0014]
    FIG. 4 is a block diagram of an alternate embodiment of the central monitoring unit shown in FIG. 1;
  • [0015]
    FIG. 5 is a representation of a preferred embodiment of the Health Manager web page according to an aspect of the present invention;
  • [0016]
    FIG. 6 is a representation of a preferred embodiment of the nutrition web page according to an aspect of the present invention;
  • [0017]
    FIG. 7 is a representation of a preferred embodiment of the activity level web page according to an aspect of the present invention;
  • [0018]
    FIG. 8 is a representation of a preferred embodiment of the mind centering web page according to an aspect of the present invention;
  • [0019]
    FIG. 9 is a representation of a preferred embodiment of the sleep web page according to an aspect of the present invention;
  • [0020]
    FIG. 10 is a representation of a preferred embodiment of the daily activities web page according to an aspect of the present invention;
  • [0021]
    FIG. 11 is a representation of a preferred embodiment of the Health Index web page according to an aspect of the present invention;
  • [0022]
    FIG. 12 is a front view of a specific embodiment of the sensor device shown in FIG. 1;
  • [0023]
    FIG. 13 is a back view of a specific embodiment of the sensor device shown in FIG. 1;
  • [0024]
    FIG. 14 is a side view of a specific embodiment of the sensor device shown in FIG. 1;
  • [0025]
    FIG. 15 is a bottom view of a specific embodiment of the sensor device shown in FIG. 1;
  • [0026]
    FIGS. 16 and 17 are front perspective views of a specific embodiment of the sensor device shown in FIG. 1;
  • [0027]
    FIG. 18 is an exploded side perspective view of a specific embodiment of the sensor device shown in FIG. 1;
  • [0028]
    FIG. 19 is a side view of the sensor device shown in FIGS. 12 through 18 inserted into a battery recharger unit; and
  • [0029]
    FIG. 20 is a block diagram illustrating all of the components either mounted on or coupled to the printed circuit board forming a part of the sensor device shown in FIGS. 12 through 18.
  • DESCRIPTION OF THE PREFERRED EMBODIMENTS
  • [0030]
    In general, according to the present invention, data relating to the physiological state, the lifestyle and certain contextual parameters of an individual is collected and transmitted, either subsequently or in real-time, to a site, preferably remote from the individual, where it is stored for later manipulation and presentation to a recipient, preferably over an electronic network such as the Internet. Contextual parameters as used herein means parameters relating to the environment, surroundings and location of the individual, including, but not limited to, air quality, sound quality, ambient temperature, global positioning and the like. Referring to FIG. 1, located at user location 5 is sensor device 10 adapted to be placed in proximity with at least a portion of the human body. Sensor device 10 is preferably worn by an individual user on his or her body, for example as part of a garment such as a form fitting shirt, or as part of an arm band or the like. Sensor device 10, includes one or more sensors, which are adapted to generate signals in response to physiological characteristics of an individual, and a microprocessor. Proximity as used herein means that the sensors of sensor device 10 are separated from the individual's body by a material or the like, or a distance such that the capabilities of the sensors are not impeded.
  • [0031]
    Sensor device 10 generates data indicative of various physiological parameters of an individual, such as the individual's heart rate, pulse rate, beat-to-beat heart variability, EKG or ECG, respiration rate, skin temperature, core body temperature, heat flow off the body, galvanic skin response or GSR, EMG, EEG, EOG, blood pressure, body fat, hydration level, activity level, oxygen consumption, glucose or blood sugar level, body position, pressure on muscles or bones, and UV radiation exposure and absorption. In certain cases, the data indicative of the various physiological parameters is the signal or signals themselves generated by the one or more sensors and in certain other cases the data is calculated by the microprocessor based on the signal or signals generated by the one or more sensors. Methods for generating data indicative of various physiological parameters and sensors to be used therefor are well known. Table 1 provides several examples of such well known methods and shows the parameter in question, the method used, the sensor device used, and the signal that is generated. Table 1 also provides an indication as to whether further processing based on the generated signal is required to generate the data.
  • [0000]
    TABLE 1
    Further
    Parameter Method Sensor Signal Processing
    Heart Rate EKG 2 Electrodes DC Voltage Yes
    Pulse Rate BVP LED Emitter and Change in Yes
    Optical Sensor Resistance
    Beat-to-Beat Heart Rate 2 Electrodes DC Voltage Yes
    Variability
    EKG Skin Surface 3-10 Electrodes DC Voltage No
    Potentials
    Respiration Rate Chest Volume Strain Gauge Change in Yes
    Change Resistance
    Skin Temperature Surface Thermistors Change in Yes
    Temperature Resistance
    Probe
    Core Temperature Esophageal or Thermistors Change in Yes
    Rectal Probe Resistance
    Heat Flow Heat Flux Thermopile DC Voltage Yes
    Galvanic Skin Skin 2 Electrodes Change in No
    Response Conductance Resistance
    EMG Skin Surface 3 Electrodes DC Voltage No
    Potentials
    EEG Skin Surface Multiple DC Voltage Yes
    Potentials Electrodes
    EOG Eye Movement Thin Film DC Voltage Yes
    Piezoelectric
    Sensors
    Blood Pressure Non-Invasive Electronic Change in Yes
    Korotkuff Sphygromarometer Resistance
    Sounds
    Body Fat Body Impedance 2 Active Change in Yes
    Electrodes Impedance
    Activity in Body Movement Accelerometer DC Voltage, Yes
    Interpreted G Capacitance
    Shocks per Minute Changes
    Oxygen Oxygen Uptake Electro-chemical DC Voltage Yes
    Consumption Change
    Glucose Level Non-Invasive Electro-chemical DC Voltage Yes
    Change
    Body Position N/A Mercury Switch DC Voltage Yes
    (e.g. supine, Array Change
    erect, sitting)
    Muscle Pressure N/A Thin Film DC Voltage Yes
    Piezoelectric Change
    Sensors
    UV Radiation N/A UV Sensitive DC Voltage Yes
    Absorption Photo Cells Change
  • [0032]
    The types of data listed in Table 1 are intended to be examples of the types of data that can be generated by sensor device 10. It is to be understood that other types of data relating to other parameters can be generated by sensor device 10 without departing from the scope of the present invention.
  • [0033]
    The microprocessor of sensor device 10 may be programmed to summarize and analyze the data. For example, the microprocessor can be programmed to calculate an average, minimum or maximum heart rate or respiration rate over a defined period of time, such as ten minutes. Sensor device 10 may be able to derive information relating to an individual's physiological state based on the data indicative of one or more physiological parameters. The microprocessor of sensor device 10 is programmed to derive such information using known methods based on the data indicative of one or more physiological parameters. Table 2 provides examples of the type of information that can be derived, and indicates some of the types of data that can be used therefor.
  • [0000]
    TABLE 2
    Derived Information Data Used
    Ovulation Skin temperature, core temperature, oxygen
    consumption
    Sleep onset/wake Beat-to-beat variability, heart rate,
    pulse rate, respiration rate, skin
    temperature, core temperature, heat flow,
    galvanic skin response, EMG, EEG, EOG,
    blood pressure, oxygen consumption
    Calories burned Heart rate, pulse rate, respiration rate,
    heat flow, activity, oxygen consumption
    Basal metabolic rate Heart rate, pulse rate, respiration rate,
    heat flow, activity, oxygen consumption
    Basal temperature Skin temperature, core temperature
    Activity level Heart rate, pulse rate, respiration rate,
    heat flow, activity, oxygen consumption
    Stress level EKG, beat-to-beat variability, heart
    rate, pulse rate, respiration rate, skin
    temperature, heat flow, galvanic skin
    response, EMG, EEG, blood pressure,
    activity, oxygen consumption
    Relaxation level EKG, beat-to-beat variability, heart
    rate, pulse rate, respiration rate, skin
    temperature, heat flow, galvanic skin
    response, EMG, EEG, blood pressure,
    activity, oxygen consumption
    Maximum oxygen EKG, heart rate, pulse rate, respiration
    consumption rate rate, heat flow, blood pressure, activity,
    oxygen consumption
    Rise time or the time it Heart rate, pulse rate, heat flow, oxygen
    takes to rise from a consumption
    resting rate to 85% of a
    target maximum
    Time in zone or the time Heart rate, pulse rate, heat flow, oxygen
    heart rate was above 85% consumption
    of a target maximum
    Recovery time or the Heart rate, pulse rate, heat flow, oxygen
    time it takes heart rate consumption
    to return to a resting
    rate after heart rate
    was above 85% of a
    target maximum
  • [0034]
    Additionally, sensor device 10 may also generate data indicative of various contextual parameters relating to the environment surrounding the individual. For example, sensor device 10 can generate data indicative of the air quality, sound level/quality, light quality or ambient temperature near the individual, or even the global positioning of the individual. Sensor device 10 may include one or more sensors for generating signals in response to contextual characteristics relating to the environment surrounding the individual, the signals ultimately being used to generate the type of data described above. Such sensors are well known, as are methods for generating contextual parametric data such as air quality, sound level/quality, ambient temperature and global positioning.
  • [0035]
    FIG. 2 is a block diagram of an embodiment of sensor device 10. Sensor device 10 includes at least one sensor 12 and microprocessor 20. Depending upon the nature of the signal generated by sensor 12, the signal can be sent through one or more of amplifier 14, conditioning circuit 16, and analog-to-digital converter 18, before being sent to microprocessor 20. For example, where sensor 12 generates an analog signal in need of amplification and filtering, that signal can be sent to amplifier 14, and then on to conditioning circuit 16, which may, for example, be a band pass filter. The amplified and conditioned analog signal can then be transferred to analog-to-digital converter 18, where it is converted to a digital signal. The digital signal is then sent to microprocessor 20. Alternatively, if sensor 12 generates a digital signal, that signal can be sent directly to microprocessor 20.
  • [0036]
    A digital signal or signals representing certain physiological and/or contextual characteristics of the individual user may be used by microprocessor 20 to calculate or generate data indicative of physiological and/or contextual parameters of the individual user. Microprocessor 20 is programmed to derive information relating to at lease one aspect of the individual's physiological state. It should be understood that microprocessor 20 may also comprise other forms of processors or processing devices, such as a microcontroller, or any other device that can be programmed to perform the functionality described herein.
  • [0037]
    The data indicative of physiological and/or contextual parameters can, according to one embodiment of the present invention, be sent to memory 22, such as flash memory, where it is stored until uploaded in the manner to be described below. Although memory 22 is shown in FIG. 2 as a discrete element, it will be appreciated that it may also be part of microprocessor 20. Sensor device 10 also includes input/output circuitry 24, which is adapted to output and receive as input certain data signals in the manners to be described herein. Thus, memory 22 of the sensor device 10 will build up, over time, a store of data relating to the individual user's body and/or environment. That data is periodically uploaded from sensor device 10 and sent to remote central monitoring unit 30, as shown in FIG. 1, where it is stored in a database for subsequent processing and presentation to the user, preferably through a local or global electronic network such as the Internet. This uploading of data can be an automatic process that is initiated by sensor device 10 periodically or upon the happening of an event such as the detection by sensor device 10 of a heart rate below a certain level, or can be initiated by the individual user or some third party authorized by the user, preferably according to some periodic schedule, such as every day at 10:00 p.m. Alternatively, rather than storing data in memory 22, sensor device 10 may continuously upload data in real time.
  • [0038]
    The uploading of data from sensor device 10 to central monitoring unit 30 for storage can be accomplished in various ways. In one embodiment, the data collected by sensor device 10 is uploaded by first transferring the data to personal computer 35 shown in FIG. 1 by means of physical connection 40, which, for example, may be a serial connection such as an RS232 or USB port. This physical connection may also be accomplished by using a cradle, not shown, that is electronically coupled to personal computer 35 into which sensor device 10 can be inserted, as is common with many commercially available personal digital assistants. The uploading of data could be initiated by then pressing a button on the cradle or could be initiated automatically upon insertion of sensor device 10. The data collected by sensor device 10 may be uploaded by first transferring the data to personal computer 35 by means of short-range wireless transmission, such as infrared or RF transmission, as indicated at 45.
  • [0039]
    Once the data is received by personal computer 35, it is optionally compressed and encrypted by any one of a variety of well known methods and then sent out over a local or global electronic network, preferably the Internet, to central monitoring unit 30. It should be noted that personal computer 35 can be replaced by any computing device that has access to and that can transmit and receive data through the electronic network, such as, for example, a personal digital assistant such as the Palm VII sold by Palm, Inc., or the Blackberry 2-way pager sold by Research in Motion, Inc.
  • [0040]
    Alternatively, the data collected by sensor device 10, after being encrypted and, optionally, compressed by microprocessor 20, may be transferred to wireless device 50, such as a 2-way pager or cellular phone, for subsequent long distance wireless transmission to local telco site 55 using a wireless protocol such as e-mail or as ASCII or binary data. Local telco site 55 includes tower 60 that receives the wireless transmission from wireless device 50 and computer 65 connected to tower 60. According to the preferred embodiment, computer 65 has access to the relevant electronic network, such as the Internet, and is used to transmit the data received in the form of the wireless transmission to the central monitoring unit 30 over the Internet. Although wireless device 50 is shown in FIG. 1 as a discrete device coupled to sensor device 10, it or a device having the same or similar functionality may be embedded as part of sensor device 10.
  • [0041]
    Sensor device 10 may be provided with a button to be used to time stamp events such as time to bed, wake time, and time of meals. These time stamps are stored in sensor device 10 and are uploaded to central monitoring unit 30 with the rest of the data as described above. The time stamps may include a digitally recorded voice message that, after being uploaded to central monitoring unit 30, are translated using voice recognition technology into text or some other information format that can be used by central monitoring unit 30.
  • [0042]
    In addition to using sensor device 10 to automatically collect physiological data relating to an individual user, a kiosk could be adapted to collect such data by, for example, weighing the individual, providing a sensing device similar to sensor device 10 on which an individual places his or her hand or another part of his or her body, or by scanning the individual's body using, for example, laser technology or an iStat blood analyzer. The kiosk would be provided with processing capability as described herein and access to the relevant electronic network, and would thus be adapted to send the collected data to the central monitoring unit 30 through the electronic network. A desktop sensing device, again similar to sensor device 10, on which an individual places his or her hand or another part of his or her body may also be provided. For example, such a desktop sensing device could be a blood pressure monitor in which an individual places his or her arm. An individual might also wear a ring having a sensor device 10 incorporated therein. A base, not shown, could then be provided which is adapted to be coupled to the ring. The desktop sensing device or the base just described may then be coupled to a computer such as personal computer 35 by means of a physical or short range wireless connection so that the collected data could be uploaded to central monitoring unit 30 over the relative electronic network in the manner described above. A mobile device such as, for example, a personal digital assistant, might also be provided with a sensor device 10 incorporated therein. Such a sensor device 10 would be adapted to collect data when mobile device is placed in proximity with the individual's body, such as by holding the device in the palm of one's hand, and upload the collected data to central monitoring unit 30 in any of the ways described herein.
  • [0043]
    Furthermore, in addition to collecting data by automatically sensing such data in the manners described above, individuals can also manually provide data relating to various life activities that is ultimately transferred to and stored at central monitoring unit 30. An individual user can access a web site maintained by central monitoring unit 30 and can directly input information relating to life activities by entering text freely, by responding to questions posed by the web site, or by clicking through dialog boxes provided by the web site. Central monitoring unit 30 can also be adapted to periodically send electronic mail messages containing questions designed to elicit information relating to life activities to personal computer 35 or to some other device that can receive electronic mail, such as a personal digital assistant, a pager, or a cellular phone. The individual would then provide data relating to life activities to central monitoring unit 30 by responding to the appropriate electronic mail message with the relevant data. Central monitoring unit 30 may also be adapted to place a telephone call to an individual user in which certain questions would be posed to the individual user. The user could respond to the questions by entering information using a telephone keypad, or by voice, in which case conventional voice recognition technology would be used by central monitoring unit 30 to receive and process the response. The telephone call may also be initiated by the user, in which case the user could speak to a person directly or enter information using the keypad or by voice/voice recognition technology. Central monitoring unit 30 may also be given access to a source of information controlled by the user, for example the user's electronic calendar such as that provided with the Outlook product sold by Microsoft Corporation of Redmond, Wash., from which it could automatically collect information. The data relating to life activities may relate to the eating, sleep, exercise, mind centering or relaxation, and/or daily living habits, patterns and/or activities of the individual. Thus, sample questions may include: What did you have for lunch today? What time did you go to sleep last night? What time did you wake up this morning? How long did you run on the treadmill today?
  • [0044]
    Feedback may also be provided to a user directly through sensor device 10 in a visual form, for example through an LED or LCD or by constructing sensor device 10, at least in part, of a thermochromatic plastic, in the form of an acoustic signal or in the form of tactile feedback such as vibration. Such feedback may be a reminder or an alert to eat a meal or take medication or a supplement such as a vitamin, to engage in an activity such as exercise or meditation, or to drink water when a state of dehydration is detected. Additionally, a reminder or alert can be issued in the event that a particular physiological parameter such as ovulation has been detected, a level of calories burned during a workout has been achieved or a high heart rate or respiration rate has been encountered.
  • [0045]
    As will be apparent to those of skill in the art, it may be possible to Adownload@ data from central monitoring unit 30 to sensor device 10. The flow of data in such a download process would be substantially the reverse of that described above with respect to the upload of data from sensor device 10. Thus, it is possible that the firmware of microprocessor 20 of sensor device 10 can be updated or altered remotely, i.e., the microprocessor can be reprogrammed, by downloading new firmware to sensor device 10 from central monitoring unit 30 for such parameters as timing and sample rates of sensor device 10. Also, the reminders/alerts provided by sensor device 10 may be set by the user using the web site maintained by central monitoring unit 30 and subsequently downloaded to the sensor device 10.
  • [0046]
    Referring to FIG. 3, a block diagram of an embodiment of central monitoring unit 30 is shown. Central monitoring unit 30 includes CSU/DSU 70 which is connected to router 75, the main function of which is to take data requests or traffic, both incoming and outgoing, and direct such requests and traffic for processing or viewing on the web site maintained by central monitoring unit 30. Connected to router 75 is firewall 80. The main purpose of firewall 80 is to protect the remainder of central monitoring unit 30 from unauthorized or malicious intrusions. Switch 85, connected to firewall 80, is used to direct data flow between middleware servers 95 a through 95 c and database server 110. Load balancer 90 is provided to spread the workload of incoming requests among the identically configured middleware servers 95 a through 95 c. Load balancer 90, a suitable example of which is the F5 Serverlron product sold by Foundry Networks, Inc. of San Jose, Calif., analyzes the availability of each middleware server 95 a through 95 c, and the amount of system resources being used in each middleware server 95 a through 95 c, in order to spread tasks among them appropriately.
  • [0047]
    Central monitoring unit 30 includes network storage device 100, such as a storage area network or SAN, which acts as the central repository for data. In particular, network storage device 100 comprises a database that stores all data gathered for each individual user in the manners described above. An example of a suitable network storage device 100 is the Symmetrix product sold by EMC Corporation of Hopkinton, Mass. Although only one network storage device 100 is shown in FIG. 3, it will be understood that multiple network storage devices of various capacities could be used depending on the data storage needs of central monitoring unit 30. Central monitoring unit 30 also includes database server 110 which is coupled to network storage device 100. Database server 110 is made up of two main components: a large scale multiprocessor server and an enterprise type software server component such as the 8/8i component sold by Oracle Corporation of Redwood City, Calif., or the 506 7 component sold by Microsoft Corporation of Redmond, Wash. The primary functions of database server 110 are that of providing access upon request to the data stored in network storage device 100, and populating network storage device 100 with new data. Coupled to network storage device 100 is controller 115, which typically comprises a desktop personal computer, for managing the data stored in network storage device 100.
  • [0048]
    Middleware servers 95 a through 95 c, a suitable example of which is the 22OR Dual Processor sold by Sun Microsystems, Inc. of Palo Alto, Calif., each contain software for generating and maintaining the corporate or home web page or pages of the web site maintained by central monitoring unit 30. As is known in the art, a web page refers to a block or blocks of data available on the World-Wide Web comprising a file or files written in Hypertext Markup Language or HTML, and a web site commonly refers to any computer on the Internet running a World-Wide Web server process. The corporate or home web page or pages are the opening or landing web page or pages that are accessible by all members of the general public that visit the site by using the appropriate uniform resource locator or URL. As is known in the art, URLs are the form of address used on the World-Wide Web and provide a standard way of specifying the location of an object, typically a web page, on the Internet. Middleware servers 95 a through 95 c also each contain software for generating and maintaining the web pages of the web site of central monitoring unit 30 that can only be accessed by individuals that register and become members of central monitoring unit 30. The member users will be those individuals who wish to have their data stored at central monitoring unit 30. Access by such member users is controlled using passwords for security purposes. Preferred embodiments of those web pages are described in detail below and are generated using collected data that is stored in the database of network storage device 100.
  • [0049]
    Middleware servers 95 a through 95 c also contain software for requesting data from and writing data to network storage device 100 through database server 110. When an individual user desires to initiate a session with the central monitoring unit 30 for the purpose of entering data into the database of network storage device 100, viewing his or her data stored in the database of network storage device 100, or both, the user visits the home web page of central monitoring unit 30 using a browser program such as Internet Explorer distributed by Microsoft Corporation of Redmond, Wash., and logs in as a registered user. Load balancer 90 assigns the user to one of the middleware servers 95 a through 95 c, identified as the chosen middleware server. A user will preferably be assigned to a chosen middleware server for each entire session. The chosen middleware server authenticates the user using any one of many well known methods, to ensure that only the true user is permitted to access the information in the database. A member user may also grant access to his or her data to a third party such as a health care provider or a personal trainer. Each authorized third party may be given a separate password and may view the member user's data using a conventional browser. It is therefore possible for both the user and the third party to be the recipient of the data.
  • [0050]
    When the user is authenticated, the chosen middleware server requests, through database server 110, the individual user's data from network storage device 100 for a predetermined time period. The predetermined time period is preferably thirty days. The requested data, once received from network storage device 100, is temporarily stored by the chosen middleware server in cache memory. The cached data is used by the chosen middleware server as the basis for presenting information, in the form of web pages, to the user again through the user's browser. Each middleware server 95 a through 95 c is provided with appropriate software for generating such web pages, including software for manipulating and performing calculations utilizing the data to put the data in appropriate format for presentation to the user. Once the user ends his or her session, the data is discarded from cache. When the user initiates a new session, the process for obtaining and caching data for that user as described above is repeated. This caching system thus ideally requires that only one call to the network storage device 100 be made per session, thereby reducing the traffic that database server 110 must handle. Should a request from a user during a particular session require data that is outside of a predetermined time period of cached data already retrieved, a separate call to network storage device 100 may be performed by the chosen middleware server. The predetermined time period should be chosen, however, such that such additional calls are minimized. Cached data may also be saved in cache memory so that it can be reused when a user starts a new session, thus eliminating the need to initiate a new call to network storage device 100.
  • [0051]
    As described in connection with Table 2, the microprocessor of sensor device 10 may be programmed to derive information relating to an individual's physiological state based on the data indicative of one or more physiological parameters. Central monitoring unit 30, and preferably middleware servers 95 a through 95 c, may also be similarly programmed to derive such information based on the data indicative of one or more physiological parameters.
  • [0052]
    It is also contemplated that a user will input additional data during a session, for example, information relating to the user's eating or sleeping habits. This additional data is preferably stored by the chosen middleware server in a cache during the duration of the user's session. When the user ends the session, this additional new data stored in a cache is transferred by the chosen middleware server to database server 110 for population in network storage device 100. Alternatively, in addition to being stored in a cache for potential use during a session, the input data may also be immediately transferred to database server 110 for population in network storage device 100, as part of a write-through cache system which is well known in the art.
  • [0053]
    Data collected by sensor device 10 shown in FIG. 1 is periodically uploaded to central monitoring unit 30. Either by long distance wireless transmission or through personal computer 35, a connection to central monitoring unit 30 is made through an electronic network, preferably the Internet. In particular, connection is made to load balancer 90 through CSU/DSU 70, router 75, firewall 80 and switch 85. Load balancer 90 then chooses one of the middleware servers 95 a through 95 c to handle the upload of data, hereafter called the chosen middleware server. The chosen middleware server authenticates the user using any one of many well known methods. If authentication is successful, the data is uploaded to the chosen middleware server as described above, and is ultimately transferred to database server 110 for population in the network storage device 100.
  • [0054]
    Referring to FIG. 4, an alternate embodiment of central monitoring unit 30 is shown. In addition to the elements shown and described with respect to FIG. 3, the embodiment of the central monitoring unit 30 shown in FIG. 4 includes a mirror network storage device 120 which is a redundant backup of network storage device 100. Coupled to mirror network storage device 120 is controller 122. Data from network storage device 100 is periodically copied to mirror network storage device 120 for data redundancy purposes.
  • [0055]
    Third parties such as insurance companies or research institutions may be given access, possibly for a fee, to certain of the information stored in mirror network storage device 120. Preferably, in order to maintain the confidentiality of the individual users who supply data to central monitoring unit 30, these third parties are not given access to such user's individual database records, but rather are only given access to the data stored in mirror network storage device 120 in aggregate form. Such third parties may be able to access the information stored in mirror network storage device 120 through the Internet using a conventional browser program. Requests from third parties may come in through CSU/DSU 70, router 75, firewall 80 and switch 85. In the embodiment shown in FIG. 4, a separate load balancer 130 is provided for spreading tasks relating to the accessing and presentation of data from mirror drive array 120 among identically configured middleware servers 135 a through 135 c. Middleware servers 135 a through 135 c each contain software for enabling the third parties to, using a browser, formulate queries for information from mirror network storage device 120 through separate database server 125. Middleware servers 135 a through 135 c also contain software for presenting the information obtained from mirror network storage device 120 to the third parties over the Internet in the form of web pages. In addition, the third parties can choose from a series of prepared reports that have information packaged along subject matter lines, such as various demographic categories.
  • [0056]
    As will be apparent to one of skill in the art, instead of giving these third parties access to the backup data stored in mirror network storage device 120, the third parties may be given access to the data stored in network storage device 100. Also, instead of providing load balancer 130 and middleware servers 135 a through 135 c, the same functionality, although at a sacrificed level of performance, could be provided by load balancer 90 and middleware servers 95 a through 95 c.
  • [0057]
    When an individual user first becomes a registered user or member, that user completes a detailed survey. The purposes of the survey are to: identify unique characteristics/circumstances for each user that they might need to address in order to maximize the likelihood that they will implement and maintain a healthy lifestyle as suggested by central monitoring unit 30; gather baseline data which will be used to set initial goals for the individual user and facilitate the calculation and display of certain graphical data output such as the Health Index pistons; identify unique user characteristics and circumstances that will help central monitoring unit 30 customize the type of content provided to the user in the Health Manager's Daily Dose; and identify unique user characteristics and circumstances that the Health Manager can guide the user to address as possible barriers to a healthy lifestyle through the problem-solving function of the Health Manager.
  • [0058]
    The specific information to be surveyed may include: key individual temperamental characteristics, including activity level, regularity of eating, sleeping, and bowel habits, initial response to situations, adaptability, persistence, threshold of responsiveness, intensity of reaction, and quality of mood; the user's level of independent functioning, i.e., self-organization and management, socialization, memory, and academic achievement skills; the user's ability to focus and sustain attention, including the user's level of arousal, cognitive tempo, ability to filter distractions, vigilance, and self-monitoring; the user's current health status including current weight, height, and blood pressure, most recent general physician visit, gynecological exam, and other applicable physician/healthcare contacts, current medications and supplements, allergies, and a review of current symptoms and/or health-related behaviors; the user's past health history, i.e., illnesses/surgeries, family history, and social stress events, such as divorce or loss of a job, that have required adjustment by the individual; the user's beliefs, values and opinions about health priorities, their ability to alter their behavior and, what might contribute to stress in their life, and how they manage it; the user's degree of self-awareness, empathy, empowerment, and self-esteem, and the user's current daily routines for eating, sleeping, exercise, relaxation and completing activities of daily living; and the user's perception of the temperamental characteristics of two key persons in their life, for example, their spouse, a friend, a co-worker, or their boss, and whether there are clashes present in their relationships that might interfere with a healthy lifestyle or contribute to stress.
  • [0059]
    Each member user will have access, through the home web page of central monitoring unit 30, to a series of web pages customized for that user, referred to as the Health Manager. The opening Health Manager web page 150 is shown in FIG. 5. The Health Manager web pages are the main workspace area for the member user. The Health Manager web pages comprise a utility through which central monitoring unit 30 provides various types and forms of data, commonly referred to as analytical status data, to the user that is generated from the data it collects or generates, namely one or more of the data indicative of various physiological parameters generated by sensor device 10; the data derived from the data indicative of various physiological parameters; the data indicative of various contextual parameters generated by sensor device 10; and the data input by the user. Analytical status data is characterized by the application of certain utilities or algorithms to convert one or more of the data indicative of various physiological parameters generated by sensor device 10, the data derived from the data indicative of various physiological parameters, the data indicative of various contextual parameters generated by sensor device 10, and the data input by the user into calculated health, wellness and lifestyle indicators. For example, based on data input by the user relating to the foods he or she has eaten, things such as calories and amounts of proteins, fats, carbohydrates, and certain vitamins can be calculated. As another example, skin temperature, heart rate, respiration rate, heat flow and/or GSR can be used to provide an indicator to the user of his or her stress level over a desired time period. As still another example, skin temperature, heat flow, beat-to-beat heart variability, heart rate, pulse rate, respiration rate, core temperature, galvanic skin response, EMG, EEG, EOG, blood pressure, oxygen consumption, ambient sound and body movement or motion as detected by a device such as an accelerometer can be used to provide indicators to the user of his or her sleep patterns over a desired time period.
  • [0060]
    Located on the opening Health Manager web page 150 is Health Index 155. Health Index 155 is a graphical utility used to measure and provide feedback to member users regarding their performance and the degree to which they have succeeded in reaching a healthy daily routine suggested by central monitoring unit 30. Health Index 155 thus provides an indication for the member user to track his or her progress. Health Index 155 includes six categories relating to the user's health and lifestyle: Nutrition, Activity Level, Mind Centering, Sleep, Daily Activities and How You Feel. The Nutrition category relates to what, when and how much a person eats and drinks. The Activity Level category relates to how much a person moves around. The Mind Centering category relates to the quality and quantity of time a person spends engaging in some activity that allows the body to achieve a state of profound relaxation while the mind becomes highly alert and focused. The Sleep category relates to the quality and quantity of a person's sleep. The Daily Activities category relates to the daily responsibilities and health risks people encounter. Finally, the How You Feel category relates to the general perception that a person has about how they feel on a particular day. Each category has an associated level indicator or piston that indicates, preferably on a scale ranging from poor to excellent, how the user is performing with respect to that category.
  • [0061]
    When each member user completes the initial survey described above, a profile is generated that provides the user with a summary of his or her relevant characteristics and life circumstances. A plan and/or set of goals is provided in the form of a suggested healthy daily routine. The suggested healthy daily routine may include any combination of specific suggestions for incorporating proper nutrition, exercise, mind centering, sleep, and selected activities of daily living in the user's life. Prototype schedules may be offered as guides for how these suggested activities can be incorporated into the user's life. The user may periodically retake the survey, and based on the results, the items discussed above will be adjusted accordingly.
  • [0062]
    The Nutrition category is calculated from both data input by the user and sensed by sensor device 10. The data input by the user comprises the time and duration of breakfast, lunch, dinner and any snacks, and the foods eaten, the supplements such as vitamins that are taken, and the water and other liquids consumed during a relevant, pre-selected time period. Based upon this data and on stored data relating to known properties of various foods, central monitoring unit 30 calculates well known nutritional food values such as calories and amounts of proteins, fats, carbohydrates, vitamins, etc., consumed.
  • [0063]
    The Nutrition Health Index piston level is preferably determined with respect to the following suggested healthy daily routine: eat at least three meals; eat a varied diet consisting of 6-11 servings of bread, pasta, cereal, and rice, 2-4 servings fruit, 3-5 servings of vegetables, 2-3 servings of fish, meat, poultry, dry beans, eggs, and nuts, and 2-3 servings of milk, yogurt and cheese; and drink 8 or more 8 ounce glasses of water. This routine may be adjusted based on information about the user, such as sex, age, height and/or weight. Certain nutritional targets may also be set by the user or for the user, relating to daily calories, protein, fiber, fat, carbohydrates, and/or water consumption and percentages of total consumption. Parameters utilized in the calculation of the relevant piston level include the number of meals per day, the number of glasses of water, and the types and amounts of food eaten each day as input by the user.
  • [0064]
    Nutritional information is presented to the user through nutrition web page 160 as shown in FIG. 6. The preferred nutritional web page 160 includes nutritional fact charts 165 and 170 which illustrate actual and target nutritional facts, respectively as pie charts, and nutritional intake charts 175 and 180 which show total actual nutritional intake and target nutritional intake, respectively as pie charts. Nutritional fact charts 165 and 170 preferably show a percentage breakdown of items such as carbohydrates, protein and fat, and nutritional intake charts 175 and 180 are preferably broken down to show components such as total and target calories, fat, carbohydrates, protein, and vitamins. Web page 160 also includes meal and water consumption tracking 185 with time entries, hyperlinks 190 which allow the user to directly access nutrition-related news items and articles, suggestions for refining or improving daily routine with respect to nutrition and affiliate advertising elsewhere on the network, and calendar 195 for choosing between views having variable and selectable time periods. The items shown at 190 may be selected and customized based on information learned about the individual in the survey and on their performance as measured by the Health Index.
  • [0065]
    The Activity Level category of Health Index 155 is designed to help users monitor how and when they move around during the day and utilizes both data input by the user and data sensed by sensor device 10. The data input by the user may include details regarding the user's daily activities, for example the fact that the user worked at a desk from 8 a.m. to 5 p.m. and then took an aerobics class from 6 p.m. to 7 p.m. Relevant data sensed by sensor device 10 may include heart rate, movement as sensed by a device such as an accelerometer, heat flow, respiration rate, calories burned, GSR and hydration level, which may be derived by sensor device 60 or central monitoring unit 30. Calories burned may be calculated in a variety of manners, including: the multiplication of the type of exercise input by the user by the duration of exercise input by the user; sensed motion multiplied by time of motion multiplied by a filter or constant; or sensed heat flux multiplied by time multiplied by a filter or constant.
  • [0066]
    The Activity Level Health Index piston level is preferably determined with respect to a suggested healthy daily routine that includes: exercising aerobically for a pre-set time period, preferably 20 minutes, or engaging in a vigorous lifestyle activity for a pre-set time period, preferably one hour, and burning at least a minimum target number of calories, preferably 205 calories, through the aerobic exercise and/or lifestyle activity. The minimum target number of calories may be set according to information about the user, such as sex, age, height and/or weight. Parameters utilized in the calculation of the relevant piston level include the amount of time spent exercising aerobically or engaging in a vigorous lifestyle activity as input by the user and/or sensed by sensor device 10, and the number of calories burned above pre-calculated energy expenditure parameters.
  • [0067]
    Information regarding the individual user's movement is presented to the user through activity level web page 200 shown in FIG. 7, which may include activity graph 205 in the form of a bar graph, for monitoring the individual user's activities in one of three categories: high, medium and low intensity with respect to a pre-selected unit of time. Activity percentage chart 210, in the form or a pie chart, may also be provided for showing the percentage of a pre-selected time period, such as one day, that the user spent in each category. Activity level web page 200 may also include calorie section 215 for displaying items such as total calories burned, daily target calories burned, total caloric intake, and duration of aerobic activity. Finally, activity level web page 200 may include at least one hyperlink 220 to allow a user to directly access relevant news items and articles, suggestions for refining or improving daily routine with respect to activity level and affiliate advertising elsewhere on the network. Activity level web page 200 may be viewed in a variety of formats, and may include user-selectable graphs and charts such as a bar graph, pie chart, or both, as selectable by Activity level check boxes 225. Activity level calendar 230 is provided for selecting among views having variable and selectable time periods. The items shown at 220 may be selected and customized based on information learned about the individual in the survey and on their performance as measured by the Health Index.
  • [0068]
    The Mind Centering category of Health Index 155 is designed to help users monitor the parameters relating to time spent engaging in certain activities which allow the body to achieve a state of profound relaxation while the mind becomes focused, and is based upon both data input by the user and data sensed by the sensor device 10. In particular, a user may input the beginning and end times of relaxation activities such as yoga or meditation. The quality of those activities as determined by the depth of a mind centering event can be measured by monitoring parameters including skin temperature, heart rate, respiration rate, and heat flow as sensed by sensor device 10. Percent change in GSR as derived either by sensor device 10 or central monitoring unit 30 may also be utilized.
  • [0069]
    The Mind Centering Health Index piston level is preferably calculated with respect to a suggested healthy daily routine that includes participating each day in an activity that allows the body to achieve profound relaxation while the mind stays highly focused for at least fifteen minutes. Parameters utilized in the calculation of the relevant piston level include the amount of time spent in a mind centering activity, and the percent change in skin temperature, heart rate, respiration rate, heat flow or GSR as sensed by sensor device 10 compared to a baseline which is an indication of the depth or quality of the mind centering activity.
  • [0070]
    Information regarding the time spent on self-reflection and relaxation is presented to the user through mind centering web page 250 shown in FIG. 8. For each mind centering activity, referred to as a session, the preferred mind centering web page 250 includes the time spent during the session, shown at 255, the target time, shown at 260, comparison section 265 showing target and actual depth of mind centering, or focus, and a histogram 270 that shows the overall level of stress derived from such things as skin temperature, heart rate, respiration rate, heat flow and/or GSR. In comparison section 265, the human figure outline showing target focus is solid, and the human figure outline showing actual focus ranges from fuzzy to solid depending on the level of focus. The preferred mind centering web page may also include an indication of the total time spent on mind centering activities, shown at 275, hyperlinks 280 which allow the user to directly access relevant news items and articles, suggestions for refining or improving daily routine with respect to mind centering and affiliate advertising, and a calendar 285 for choosing among views having variable and selectable time periods. The items shown at 280 may be selected and customized based on information learned about the individual in the survey and on their performance as measured by the Health Index.
  • [0071]
    The Sleep category of Health Index 155 is designed to help users monitor their sleep patterns and the quality of their sleep. It is intended to help users learn about the importance of sleep in their healthy lifestyle and the relationship of sleep to circadian rhythms, being the normal daily variations in body functions. The Sleep category is based upon both data input by the user and data sensed by sensor device 10. The data input by the user for each relevant time interval includes the times the user went to sleep and woke up and a rating of the quality of sleep. As noted in Table 2, the data from sensor device 10 that is relevant includes skin temperature, heat flow, beat-to-beat heart variability, heart rate, pulse rate, respiration rate, core temperature, galvanic skin response, EMG, EEG, EOG, blood pressure, and oxygen consumption. Also relevant is ambient sound and body movement or motion as detected by a device such as an accelerometer. This data can then be used to calculate or derive sleep onset and wake time, sleep interruptions, and the quality and depth of sleep.
  • [0072]
    The Sleep Health Index piston level is determined with respect to a healthy daily routine including getting a minimum amount, preferably eight hours, of sleep each night and having a predictable bed time and wake time. The specific parameters which determine the piston level calculation include the number of hours of sleep per night and the bed time and wake time as sensed by sensor device 10 or as input by the user, and the quality of the sleep as rated by the user or derived from other data.
  • [0073]
    Information regarding sleep is presented to the user through sleep web page 290 shown in FIG. 9. Sleep web page 290 includes a sleep duration indicator 295, based on either data from sensor device 10 or on data input by the user, together with user sleep time indicator 300 and wake time indicator 305. A quality of sleep rating 310 input by the user may also be utilized and displayed. If more than a one day time interval is being displayed on sleep web page 290, then sleep duration indicator 295 is calculated and displayed as a cumulative value, and steep time indicator 300, wake time indicator 305 and quality of sleep rating 310 are calculated and illustrated as averages. Sleep web page 290 also includes a user-selectable sleep graph 315 which calculates and displays one sleep related parameter over a pre-selected time interval. For illustrative purposes, FIG. 9 shows heat flow over a one-day period, which tends to be lower during sleeping hours and higher during waking hours. From this information, a person's bio-rhythms can be derived. Sleep graph 315 may also include a graphical representation of data from an accelerometer incorporated in sensor device 10 which monitors the movement of the body. The sleep web page 290 may also include hyperlinks 320 which allow the user to directly access sleep related news items and articles, suggestions for refining or improving daily routine with respect to sleep and affiliate advertising available elsewhere on the network, and a sleep calendar 325 for choosing a relevant time interval. The items shown at 320 may be selected and customized based on information learned about the individual in the survey and on their performance as measured by the Health Index.
  • [0074]
    The Activities of Daily Living category of Health Index 155 is designed to help users monitor certain health and safety related activities and risks and is based entirely on data input by the user. The Activities of Daily Living category is divided into four sub-categories: personal hygiene, which allows the user to monitor activities such as brushing and flossing his or her teeth and showering; health maintenance, that tracks whether the user is taking prescribed medication or supplements and allows the user to monitor tobacco and alcohol consumption and automobile safety such as seat belt use; personal time, that allows the user to monitor time spent socially with family and friends, leisure, and mind centering activities; and responsibilities, that allows the user to monitor certain work and financial activities such as paying bills and household chores.
  • [0075]
    The Activities of Daily Living Health Index piston level is preferably determined with respect to the healthy daily routine described below. With respect to personal hygiene, the routine requires that the users shower or bathe each day, brush and floss teeth each day, and maintain regular bowel habits. With respect to health maintenance, the routine requires that the user take medications and vitamins and/or supplements, use a seat belt, refrain from smoking, drink moderately, and monitor health each day with the Health Manager. With respect to personal time, the routine requires the users to spend at least one hour of quality time each day with family and/or friends, restrict work time to a maximum of nine hours a day, spend some time on a leisure or play activity each day, and engage in a mind stimulating activity. With respect to responsibilities, the routine requires the users to do household chores, pay bills, be on time for work, and keep appointments. The piston level is calculated based on the degree to which the user completes a list of daily activities as determined by information input by the user.
  • [0076]
    Information relating to these activities is presented to the user through daily activities web page 330 shown in FIG. 10. In preferred daily activities web page 330, activities chart 335, selectable for one or more of the sub-categories, shows whether the user has done what is required by the daily routine. A colored or shaded box indicates that the user has done the required activity, and an empty, non-colored or shaded box indicates that the user has not done the activity. Activities chart 335 can be created and viewed in selectable time intervals. For illustrative purposes, FIG. 10 shows the personal hygiene and personal time sub-categories for a particular week. In addition, daily activities web page 330 may include daily activity hyperlinks 340 which allow the user to directly access relevant news items and articles, suggestions for improving or refining daily routine with respect to activities of daily living and affiliate advertising, and a daily activities calendar 345 for selecting a relevant time interval. The items shown at 340 may be selected and customized based on information learned about the individual in the survey and on their performance as measured by the Health Index.
  • [0077]
    The How You Feel category of Health Index 155 is designed to allow users to monitor their perception of how they felt on a particular day, and is based on information, essentially a subjective rating, that is input directly by the user. A user provides a rating, preferably on a scale of 1 to 5, with respect to the following nine subject areas: mental sharpness; emotional and psychological well being; energy level; ability to cope with life stresses; appearance; physical well being; self-control; motivation; and comfort in relating to others. Those ratings are averaged and used to calculate the relevant piston level.
  • [0078]
    Referring to FIG. 11, Health Index web page 350 is shown. Health Index web page 350 enables users to view the performance of their Health Index over a user selectable time interval including any number of consecutive or non-consecutive days. Using Health Index selector buttons 360, the user can select to view the Health Index piston levels for one category, or can view a side-by-side comparison of the Health Index piston levels for two or more categories. For example, a user might want to just turn on Sleep to see if their overall sleep rating improved over the previous month, much in the same way they view the performance of their favorite stock. Alternatively, Sleep and Activity Level might be simultaneously displayed in order to compare and evaluate Sleep ratings with corresponding Activity Level ratings to determine if any day-to-day correlations exist. Nutrition ratings might be displayed with How You Feel for a pre-selected time interval to determine if any correlation exists between daily eating habits and how they felt during that interval. For illustrative purposes, FIG. 11 illustrates a comparison of Sleep and Activity Level piston levels for the week of June 10 through June 16. Health Index web page 350 also includes tracking calculator 365 that displays access information and statistics such as the total number of days the user has logged in and used the Health Manager, the percentage of days the user has used the Health Manager since becoming a subscriber, and percentage of time the user has used the sensor device 10 to gather data.
  • [0079]
    Referring again to FIG. 5, opening Health Manager web page 150 may include a plurality of user selectable category summaries 156 a through 156 f, one corresponding to each of the Health Index 155 categories. Each category summary 156 a through 156 f presents a pre-selected filtered subset of the data associated with the corresponding category. Nutrition category summary 156 a displays daily target and actual caloric intake. Activity Level category summary 156 b displays daily target and actual calories burned. Mind Centering category summary 156 c displays target and actual depth of mind centering or focus. Sleep category summary 156 d displays target sleep, actual sleep, and a sleep quality rating. Daily Activities category summary 156 e displays a target and actual score based on the percentage of suggested daily activities that are completed. The How You Feel category summary 156 f shows a target and actual rating for the day.
  • [0080]
    Opening Health Manager web page 150 also may include Daily Dose section 157 which provides, on a daily time interval basis, information to the user, including, but not limited to, hyperlinks to news items and articles, commentary and reminders to the user based on tendencies, such as poor nutritional habits, determined from the initial survey. The commentary for Daily Dose 157 may, for example, be a factual statement that drinking 8 glasses of water a day can reduce the risk of colon cancer by as much as 32%, accompanied by a suggestion to keep a cup of water by your computer or on your desk at work and refill often. Opening Health Manager web page 150 also may include a Problem Solver section 158 that actively evaluates the user's performance in each of the categories of Health Index 155 and presents suggestions for improvement. For example, if the system detects that a user's Sleep levels have been low, which suggest that the user has been having trouble sleeping, Problem Solver 158 can provide suggestions for way to improve sleep. Problem Solver 158 also may include the capability of user questions regarding improvements in performance. Opening Health Manager web page 150 may also include a Daily Data section 159 that launches an input dialog box. The input dialog box facilitates input by the user of the various data required by the Health Manager. As is known in the art, data entry may be in the form of selection from pre-defined lists or general free form text input. Finally, opening Health Manager web page 150 may include Body Stats section 161 which may provide information regarding the user's height, weight, body measurements, body mass index or BMI, and vital signs such as heart rate, blood pressure or any of the identified physiological parameters.
  • [0081]
    Referring to FIGS. 12-17, a specific embodiment of sensor device 10 is shown which is in the form of an armband adapted to be worn by an individual on his or her upper arm, between the shoulder and the elbow. The specific embodiment of sensor device 10 shown in FIGS. 12-17 will, for convenience, be referred to as armband sensor device 400. Armband sensor device 400 includes computer housing 405, flexible wing body 410, and, as shown in FIG. 17, elastic strap 415. Computer housing 405 and flexible wing body 410 are preferably made of a flexible urethane material or an elastomeric material such as rubber or a rubber-silicone blend by a molding process. Flexible wing body 410 includes first and second wings 418 each having a thru-hole 420 located near the ends 425 thereof. First and second wings 418 are adapted to wrap around a portion of the wearer's upper arm.
  • [0082]
    Elastic strap 415 is used to removably affix armband sensor device 400 to the individual's upper arm. As seen in FIG. 17, bottom surface 426 of elastic strap 415 is provided with velcro loops 416 along a portion thereof. Each end 427 of elastic strap 415 is provided with velcro hook patch 428 on bottom surface 426 and pull tab 429 on top surface 430. A portion of each pull tab 429 extends beyond the edge of each end 427.
  • [0083]
    In order to wear armband sensor device 400, a user inserts each end 427 of elastic strap 415 into a respective thru-hole 420 of flexible wing body 410. The user then places his arm through the loop created by elastic strap 415, flexible wing body 410 and computer housing 405. By pulling each pull tab 429 and engaging velcro hook patches 428 with velcro loops 416 at a desired position along bottom surface 426 of elastic strap 415, the user can adjust elastic strap 415 to fit comfortably. Since velcro hook patches 428 can be engaged with velcro loops 416 at almost any position along bottom surface 426, armband sensor device 400 can be adjusted to fit arms of various sizes. Also, elastic strap 415 may be provided in various lengths to accommodate a wider range of arm sizes. As will be apparent to one of skill in the art, other means of fastening and adjusting the size of elastic strap may be used, including, but not limited to, snaps, buttons, or buckles. It is also possible to use two elastic straps that fasten by one of several conventional means including velcro, snaps, buttons, buckles or the like, or merely a single elastic strap affixed to wings 418.
  • [0084]
    Alternatively, instead of providing thru-holes 420 in wings 418, loops having the shape of the letter D, not shown, may be attached to ends 425 of wings 418 by one of several conventional means. For example, a pin, not shown, may be inserted through ends 425, wherein the pin engages each end of each loop. In this configuration, the D-shaped loops would serve as connecting points for elastic strap 415, effectively creating a thru-hole between each end 425 of each wing 418 and each loop.
  • [0085]
    As shown in FIG. 18, which is an exploded view of armband sensor device 400, computer housing 405 includes a top portion 435 and a bottom portion 440. Contained within computer housing 405 are printed circuit board or PCB 445, rechargeable battery 450, preferably a lithium ion battery, and vibrating motor 455 for providing tactile feedback to the wearer, such as those used in pagers, suitable examples of which are the Model 12342 and 12343 motors sold by MG Motors Ltd. of the United Kingdom.
  • [0086]
    Top portion 435 and bottom portion 440 of computer housing 405 sealingly mate along groove 436 into which O-ring 437 is fit, and may be affixed to one another by screws, not shown, which pass through screw holes 438 a and stiffeners 438 b of bottom portion 440 and apertures 439 in PCB 445 and into threaded receiving stiffeners 451 of top portion 435. Alternately, top portion 435 and bottom portion 440 may be snap fit together or affixed to one another with an adhesive. Preferably, the assembled computer housing 405 is sufficiently water resistant to permit armband sensor device 400 to be worn while swimming without adversely affecting the performance thereof.
  • [0087]
    As can be seen in FIG. 13, bottom portion 440 includes, on a bottom side thereof, a raised platform 430. Affixed to raised platform 430 is heat flow or flux sensor 460, a suitable example of which is the micro-foil heat flux sensor sold by RdF Corporation of Hudson, N.H. Heat flux sensor 460 functions as a self-generating thermopile transducer, and preferably includes a carrier made of a polyamide film. Bottom portion 440 may include on a top side thereof, that is on a side opposite the side to which heat flux sensor 460 is affixed, a heat sink, not shown, made of a suitable metallic material such as aluminum. Also affixed to raised platform 430 are GSR sensors 465, preferably comprising electrodes formed of a material such as conductive carbonized rubber, gold or stainless steel. Although two GSR sensors 465 are shown in FIG. 13, it will be appreciated by one of skill in the art that the number of GSR sensors 465 and the placement thereof on raised platform 430 can vary as long as the individual GSR sensors 465, i.e., the electrodes, are electrically isolated from one another. By being affixed to raised platform 430, heat flux sensor 460 and GSR sensors 465 are adapted to be in contact with the wearer's skin when armband sensor device 400 is worn. Bottom portion 440 of computer housing 405 may also be provided with a removable and replaceable soft foam fabric pad, not shown, on a portion of the surface thereof that does not include raised platform 430 and screw holes 438 a. The soft foam fabric is intended to contact the wearer's skin and make armband sensor device 400 more comfortable to wear.
  • [0088]
    Electrical coupling between heat flux sensor 460, GSR sensors 465, and PCB 445 may be accomplished in one of various known methods. For example, suitable wiring, not shown, may be molded into bottom portion 440 of computer housing 405 and then electrically connected, such as by soldering, to appropriate input locations on PCB 445 and to heat flux sensor 460 and GSR sensors 465. Alternatively, rather than molding wiring into bottom portion 440, thru-holes may be provided in bottom portion 440 through which appropriate wiring may pass. The thru-holes would preferably be provided with a water tight seal to maintain the integrity of computer housing 405.
  • [0089]
    Rather than being affixed to raised platform 430 as shown in FIG. 13, one or both of heat flux sensor 460 and GSR sensors 465 may be affixed to the inner portion 466 of flexible wing body 410 on either or both of wings 418 so as to be in contact with the wearer's skin when armband sensor device 400 is worn. In such a configuration, electrical coupling between heat flux sensor 460 and GSR sensors 465, whichever the case may be, and the PCB 445 may be accomplished through suitable wiring, not shown, molded into flexible wing body 410 that passes through one or more thru-holes in computer housing 405 and that is electrically connected, such as by soldering, to appropriate input locations on PCB 445. Again, the thru-holes would preferably be provided with a water tight seal to maintain the integrity of computer housing 405. Alternatively, rather than providing thru-holes in computer housing 405 through which the wiring passes, the wiring may be captured in computer housing 405 during an overmolding process, described below, and ultimately soldered to appropriate input locations on PCB 445.
  • [0090]
    As shown in FIGS. 12, 16, 17 and 18, computer housing 405 includes a button 470 that is coupled to and adapted to activate a momentary switch 585 on PCB 445. Button 470 may be used to activate armband sensor device 400 for use, to mark the time an event occurred or to request system status information such as battery level and memory capacity. When button 470 is depressed, momentary switch 585 closes a circuit and a signal is sent to processing unit 490 on PCB 445. Depending on the time interval for which button 470 is depressed, the generated signal triggers one of the events just described. Computer housing 405 also includes LEDs 475, which may be used to indicate battery level or memory capacity or to provide visual feedback to the wearer. Rather than LEDs 475, computer housing 405 may also include a liquid crystal display or LCD to provide battery level, memory capacity or visual feedback information to the wearer. Battery level, memory capacity or feedback information may also be given to the user tactily or audibly.
  • [0091]
    Armband sensor device 400 may be adapted to be activated for use, that is collecting data, when either of GSR sensors 465 or heat flux sensor 460 senses a particular condition that indicates that armband sensor device 400 has been placed in contact with the user's skin. Also, armband sensor device 400 may be adapted to be activated for use when one or more of heat flux sensor 460, GSR sensors 465, accelerometer 495 or 550, or any other device in communication with armband sensor device 400, alone or in combination, sense a particular condition or conditions that indicate that the armband sensor device 400 has been placed in contact with the user's skin for use. At other times, armband sensor device 400 would be deactivated, thus preserving battery power.
  • [0092]
    Computer housing 405 is adapted to be coupled to a battery recharger unit 480 shown in FIG. 19 for the purpose of recharging rechargeable battery 450. Computer housing 405 includes recharger contacts 485, shown in FIGS. 12, 15, 16 and 17, that are coupled to rechargeable battery 450. Recharger contracts 485 may be made of a material such as brass, gold or stainless steel, and are adapted to mate with and be electrically coupled to electrical contacts, not shown, provided in battery recharger unit 480 when armband sensor device 400 is placed therein. The electrical contacts provided in battery recharger unit 480 may be coupled to recharging circuit 481 a provided inside battery recharger unit 480. In this configuration, recharging circuit 481 would be coupled to a wall outlet, such as by way of wiring including a suitable plug that is attached or is attachable to battery recharger unit 480. Alternatively, electrical contacts 480 may be coupled to wiring that is attached to or is attachable to battery recharger unit 480 that in turn is coupled to recharging circuit 481 b external to battery recharger unit 480. The wiring in this configuration would also include a plug, not shown, adapted to be plugged into a conventional wall outlet.
  • [0093]
    Also provided inside battery recharger unit 480 is RF transceiver 483 adapted to receive signals from and transmit signals to RF transceiver 565 provided in computer housing 405 and shown in FIG. 20. RF transceiver 483 is adapted to be coupled, for example by a suitable cable, to a serial port, such as an RS 232 port or a USB port, of a device such as personal computer 35 shown in FIG. 1. Thus, data may be uploaded from and downloaded to armband sensor device 400 using RF transceiver 483 and RF transceiver 565. It will be appreciated that although RF transceivers 483 and 565 are shown in FIGS. 19 and 20, other forms of wireless transceivers may be used, such as infrared transceivers. Alternatively, computer housing 405 may be provided with additional electrical contacts, not shown, that would be adapted to mate with and be electrically coupled to additional electrical contacts, not shown, provided in battery recharger unit 480 when armband sensor device 400 is placed therein. The additional electrical contacts in the computer housing 405 would be coupled to the processing unit 490 and the additional electrical contacts provided in battery recharger unit 480 would be coupled to a suitable cable that in turn would be coupled to a serial port, such as an RS R32 port or a USB port, of a device such as personal computer 35. This configuration thus provides an alternate method for uploading of data from and downloading of data to armband sensor device 400 using a physical connection.
  • [0094]
    FIG. 20 is a schematic diagram that shows the system architecture of armband sensor device 400, and in particular each of the components that is either on or coupled to PCB 445.
  • [0095]
    As shown in FIG. 17, PCB 445 includes processing unit 490, which may be a microprocessor, a microcontroller, or any other processing device that can be adapted to perform the functionality described herein. Processing unit 490 is adapted to provide all of the functionality described in connection with microprocessor 20 shown in FIG. 2. A suitable example of processing unit 490 is the Dragonball EZ sold by Motorola, Inc. of Schaumburg, Ill. PCB 445 also has thereon a two-axis accelerometer 495, a suitable example of which is the Model ADXL210 accelerometer sold by Analog Devices, Inc. of Norwood, Mass. Two-axis accelerometer 495 is preferably mounted on PCB 445 at an angle such that its sensing axes are offset at an angle substantially equal to 45 degrees from the longitudinal axis of PCB 445 and thus the longitudinal axis of the wearer's arm when armband sensor device 400 is worn. The longitudinal axis of the wearer's arm refers to the axis defined by a straight line drawn from the wearer's shoulder to the wearer's elbow. The output signals of two-axis accelerometer 495 are passed through buffers 500 and input into analog to digital converter 505 that in turn is coupled to processing unit 490. GSR sensors 465 are coupled to amplifier 510 on PCB 445. Amplifier 510 provides amplification and low pass filtering functionality, a suitable example of which is the Model AD8544 amplifier sold by Analog Devices, Inc. of Norwood, Mass. The amplified and filtered signal output by amplifier 510 is input into amp/offset 515 to provide further gain and to remove any bias voltage and into filter/conditioning circuit 520, which in turn are each coupled to analog to digital converter 505. Heat flux sensor 460 is coupled to differential input amplifier 525, such as the Model INA amplifier sold by Burr-Brown Corporation of Tucson, Ariz., and the resulting amplified signal is passed through filter circuit 530, buffer 535 and amplifier 540 before being input to analog to digital converter 505. Amplifier 540 is configured to provide further gain and low pass filtering, a suitable example of which is the Model AD8544 amplifier sold by Analog Devices, Inc. of Norwood, Mass. PCB 445 also includes thereon a battery monitor 545 that monitors the remaining power level of rechargeable battery 450. Battery monitor 545 preferably comprises a voltage divider with a low pass filter to provide average battery voltage. When a user depresses button 470 in the manner adapted for requesting battery level, processing unit 490 checks the output of battery monitor 545 and provides an indication thereof to the user, preferably through LEDs 475, but also possibly through vibrating motor 455 or ringer 575. An LCD may also be used.
  • [0096]
    PCB 445 may include three-axis accelerometer 550 instead of or in addition to two-axis accelerometer 495. The three-axis accelerometer outputs a signal to processing unit 490. A suitable example of three-axis accelerometer is the μPAM product sold by I.M. Systems, Inc. of Scottsdale, Ariz. Three-axis accelerometer 550 is preferably tilted in the manner described with respect to two-axis accelerometer 495.
  • [0097]
    PCB 445 also includes RF receiver 555 that is coupled to processing unit 490. RF receiver 555 may be used to receive signals that are output by another device capable of wireless transmission, shown in FIG. 20 as wireless device 558, worn by or located near the individual wearing armband sensor device 400. Located near as used herein means within the transmission range of wireless device 558. For example, wireless device 558 may be a chest mounted heart rate monitor such as the Tempo product sold by Polar Electro of Oulu, Finland. Using such a heart rate monitor, data indicative of the wearer's heart rate can be collected by armband sensor device 400. Antenna 560 and RF transceiver 565 are coupled to processing unit 490 and are provided for purposes of uploading data to central monitoring unit 30 and receiving data downloaded from central monitoring unit 30. RF transceiver 565 and RF receiver 555 may, for example, employ Bluetooth technology as the wireless transmission protocol. Also, other forms of wireless transmission may be used, such as infrared transmission.
  • [0098]
    Vibrating motor 455 is coupled to processing unit 490 through vibrator driver 570 and provides tactile feedback to the wearer. Similarly, ringer 575, a suitable example of which is the Model SMT916A ringer sold by Projects Unlimited, Inc. of Dayton, Ohio, is coupled to processing unit 490 through ringer driver 580, a suitable example of which is the Model MMBTA14 CTI darlington transistor driver sold by Motorola, Inc. of Schaumburg, Ill., and provides audible feedback to the wearer. Feedback may include, for example, celebratory, cautionary and other threshold or event driven messages, such as when a wearer reaches a level of calories burned during a workout.
  • [0099]
    Also provided on PCB 445 and coupled to processing unit 490 is momentary switch 585. Momentary switch 585 is also coupled to button 470 for activating momentary switch 585. LEDs 475, used to provide various types of feedback information to the wearer, are coupled to processing unit 490 through LED latch/driver 590.
  • [0100]
    Oscillator 595 is provided on PCB 445 and supplies the system clock to processing unit 490. Reset circuit 600, accessible and triggerable through a pin-hole in the side of computer housing 405, is coupled to processing unit 490 and enables processing unit 490 to be reset to a standard initial setting.
  • [0101]
    Rechargeable battery 450, which is the main power source for the armband sensor device 400, is coupled to processing unit 490 through voltage regulator 605. Finally, memory functionality is provided for armband sensor device 400 by SRAM 610, which stores data relating to the wearer of armband sensor device 400, and flash memory 615, which stores program and configuration data, provided on PCB 445. SRAM 610 and flash memory 615 are coupled to processing unit 490 and each preferably have at least 512K of memory.
  • [0102]
    In manufacturing and assembling armband sensor device 400, top portion 435 of computer housing 405 is preferably formed first, such as by a conventional molding process, and flexible wing body 410 is then overmolded on top of top portion 435. That is, top portion 435 is placed into an appropriately shaped mold, i.e., one that, when top portion 435 is placed therein, has a remaining cavity shaped according to the desired shape of flexible wing body 410, and flexible wing body 410 is molded on top of top portion 435. As a result, flexible wing body 410 and top portion 435 will merge or bond together, forming a single unit. Alternatively, top portion 435 of computer housing 405 and flexible wing body 410 may be formed together, such as by molding in a single mold, to form a single unit. The single unit however formed may then be turned over such that the underside of top portion 435 is facing upwards, and the contents of computer housing 405 can be placed into top portion 435, and top portion 435 and bottom portion 440 can be affixed to one another. As still another alternative, flexible wing body 410 may be separately formed, such as by a conventional molding process, and computer housing 405, and in particular top portion 435 of computer housing 405, may be affixed to flexible wing body 410 by one of several known methods, such as by an adhesive, by snap-fitting, or by screwing the two pieces together. Then, the remainder of computer housing 405 would be assembled as described above. It will be appreciated that rather than assembling the remainder of computer housing 405 after top portion 435 has been affixed to flexible wing body 410, the computer housing 405 could be assembled first and then affixed to flexible wing body 410.
  • [0103]
    The terms and expressions which have been employed herein are used as terms of description and not as limitation, and there is no intention in the use of such terms and expressions of excluding equivalents of the features shown and described or portions thereof, it being recognized that various modifications are possible within the scope of the invention claimed. Although particular embodiments of the present invention have been illustrated in the foregoing detailed description, it is to be further understood that the present invention is not to be limited to just the embodiments disclosed, but that they are capable of numerous rearrangements, modifications and substitutions.

Claims (60)

    We claim:
  1. 1. A cellular telephone for monitoring and reporting a human status parameter of an individual, said cellular telephone comprising:
    a. a housing
    b. a processing unit supported by said housing;
    c. a physiological sensor in electronic communication with said processing unit, said physiological sensor adapted to generate data indicative of a first physiological parameter of said individual when said physiological sensor is in proximity to said individual; and
    d. an output means supported by said housing and in electronic communication with said processing unit,
    wherein said processing unit is programmed to utilize (a) said data indicative of a first physiological parameter of said individual and (b) data indicative of at least one of (i) a second physiological parameter of said individual and (ii) a contextual parameter of said individual to cause said output means to provide output data to a recipient.
  2. 2. The cellular telephone of claim 1, wherein said processing unit is further programmed to derive from, (a) said data indicative of a first physiological parameter of said individual and (b) said data indicative of at least one of (i) a second physiological parameter of said individual and (ii) a contextual parameter of said individual, physiological state information of said individual, and to cause said output means to provide output data to a recipient based on said derived physiological state information.
  3. 3. The cellular telephone of claim 1 wherein said physiological sensor is supported by said housing.
  4. 4. The cellular telephone of claim 1, further comprising a contextual sensor adapted to generate data indicative of a contextual parameter of said individual.
  5. 5. The cellular telephone of claim 4, wherein said contextual sensor is supported by said housing.
  6. 6. The cellular telephone of claim 1, wherein said physiological sensor is adapted to be worn by said individual.
  7. 7. The cellular telephone of claim 4, wherein said contextual sensor is adapted to be worn by said individual.
  8. 8. The cellular telephone of claim 6, wherein said physiological sensor is adapted to be in contact with the skin of said individual.
  9. 9. The cellular telephone of claim 1, wherein said physiological sensor generates data indicative of at least one of—a heart-related parameter of said individual, a respiration-related parameter of said individual, a weight-related parameter of said individual, a motion-related parameter of said individual, a skin temperature-related parameter of said individual, data related to the impedance of said individual's skin, data related to the composition of said individual's blood, a blood pressure-related parameter of said individual, and data related to heat flow off of the body of said individual.
  10. 10. The cellular telephone of claim 1, wherein said cellular phone comprises an event time stamp button.
  11. 11. The cellular telephone of claim 1, wherein said data indicative of a contextual parameter of said individual is selected from the group consisting of—a location-related parameter of said individual and environmental data.
  12. 12. The cellular telephone of claim 11, wherein said location related parameter is global positioning data of said individual.
  13. 13. The cellular telephone of claim 1 further comprising a means to input data related to said individual's life activities.
  14. 14. The cellular telephone of claim 1, wherein said output data comprises at least one of an alert and a reminder.
  15. 15. The cellular telephone of claim 1, wherein said processor is further programmed to utilize data from a third-party source to cause said output means to provide output data to a recipient.
  16. 16. The cellular telephone claim 1, wherein said output data is sent electronically to a third-party.
  17. 17. A cellular telephone for monitoring and reporting a human status parameter of an individual, said cellular telephone comprising:
    a. a physiological sensor in electronic communication with a central monitoring unit remote from said cellular telephone, said physiological sensor adapted to generate data indicative of a first physiological parameter of said individual when in proximity to said individual; and
    b. an output means,
    wherein said central monitoring unit is programmed to utilize (a) said data indicative of a first physiological parameter of said individual and (b) data indicative of at least one of (i) a second physiological parameter of said individual and (ii) a contextual parameter of said individual to cause said output means to provide output data to a recipient.
  18. 18. The cellular telephone of claim 17 wherein said central monitoring unit is further programmed to derive from, (a) said data indicative of a first physiological parameter of said individual and (b) said data indicative of at least one of (i) a second physiological parameter of said individual and (ii) a contextual parameter of said individual, physiological state information of said individual, and to cause said output means to provide output data to a recipient based on said derived physiological state information.
  19. 19. The cellular telephone of claim 17, further comprising a contextual sensor adapted to generate data indicative of a contextual parameter of said individual.
  20. 20. The cellular telephone of claim 17, wherein said physiological sensor is adapted to be worn by said individual.
  21. 21. The cellular telephone of claim 17, wherein said contextual sensor is adapted to be worn by said individual.
  22. 22. The cellular telephone of claim 20, wherein said physiological sensor is adapted to be in contact with the skin of said individual.
  23. 23. The cellular telephone of claim 17, wherein said physiological sensor generates data indicative of at least one of—a heart-related parameter of said individual, a respiration-related parameter of said individual, a weight-related parameter of said individual, a motion-related parameter of said individual, a skin temperature-related parameter of said individual, data related to the impedance of said individual's skin, data related to the composition of said individual's blood, a blood pressure-related parameter of said individual, and data related to heat flow off of the body of said individual.
  24. 24. The cellular telephone of claim 17, wherein said cellular phone comprises an event time stamp button.
  25. 25. The cellular telephone of claim 24, wherein said cellular telephone is programmed to upload data relating to the actuation of said event stamp button said central monitoring unit.
  26. 26. The cellular telephone claim 17, wherein said data indicative of a contextual parameter of said individual is selected from the group consisting of—a location-related parameter of said individual and environmental data.
  27. 27. The cellular telephone of claim 26, wherein said location related parameter is global positioning data of said individual.
  28. 28. The cellular telephone of claim 17 further comprising a means to input data related to said individual's life activities.
  29. 29. The cellular telephone of claim 17, wherein said output data comprises at least one of an alert and a reminder.
  30. 30. The cellular telephone of claim 17, wherein said central monitoring unit is further programmed to utilize data from a third-party source to cause said output means to provide output data to a recipient.
  31. 31. The cellular telephone of claim 1, wherein said output data is sent electronically to a third-party.
  32. 32. A wearable device for monitoring and reporting a human status parameter of an individual, said device comprising:
    a. a housing;
    b. a processing unit supported by said housing;
    c. a wireless communication device supported by said housing;
    d. a physiological sensor supported by said housing and in electronic communication with said processing unit, said physiological sensor adapted to generate data indicative of a first physiological parameter of said individual when said physiological sensor is in proximity to said individual; and
    e. an output means in electronic communication with said processing unit,
    wherein said processing unit is programmed to utilize (a) said data indicative of a first physiological parameter of said individual and (b) data indicative of at least one of (i) a second physiological parameter of said individual, and (ii) a contextual parameter of said individual to cause said output means to provide output data to a recipient.
  33. 33. The device of claim 32 wherein said processing unit is further programmed to derive from (a) said data indicative of a first physiological parameter of said individual and (b) said data indicative of said at least one of (i) a second physiological parameter of said individual, and (ii) a contextual parameter of said individual, physiological state information of said individual, and to cause said output means to provide output data to a recipient based on said derived physiological state information.
  34. 34. The device of claim 32 including at least two sensors, the second sensor supported by said housing and being at least one of a physiological sensor and a contextual sensor.
  35. 35. The device of claim 32, wherein said device is adapted to be worn by said individual.
  36. 36. The device of claim 35, wherein said device is adapted to be worn on the upper arm of said individual.
  37. 37. The device of claim 32, wherein said physiological sensor is adapted to be in contact with the skin of said individual.
  38. 38. The device of claim 32, further comprising a third sensor in electronic communication with said device.
  39. 39. The device of claim 38, wherein said third sensor is supported by said housing.
  40. 40. The device of claim 38, further comprising a wearable device, said wearable device comprising said third sensor.
  41. 41. The device of claim 38, wherein said third sensor is adapted to be in contact with the skin of said individual.
  42. 42. The device claim 38, wherein said third sensor generates data indicative of at least one of—a heart-related parameter of said individual, a respiration-related parameter of said individual, a weight-related parameter of said individual, a motion-related parameter of said individual, a skin temperature-related parameter of said individual, data related to the impedance of said individual's skin, data related to the composition of said individual's blood, a blood pressure-related parameter of said individual, and data related to heat flow off of the body of said individual.
  43. 43. The device of claim 32 further comprising a central monitoring unit in electronic communication with said processor, said central monitoring unit programmed to provide said processing means with data for output to said recipient.
  44. 44. The device of claim 32, wherein said device comprises an event time stamp button.
  45. 45. The device of claim 44, wherein said processor is programmed to upload data relating to the actuation of said event stamp button to the central monitoring unit.
  46. 46. The device of claim 17, wherein said data indicative of a second physiological parameter of said individual is selected from the group consisting of—a heart-related parameter of said individual, a respiration-related parameter of said individual, a weight-related parameter of said individual, a motion-related parameter of said individual, a skin temperature-related parameter of said individual, data related to the impedance of said individual's skin, data related to the composition of said individual's blood, a blood pressure-related parameter of said individual, and data related to heat flow off of the body of said individual.
  47. 47. The device claim 32, wherein data indicative of a contextual parameter of said individual is selected from the group consisting of—a location-related parameter of said individual and environmental data.
  48. 48. The device of claim 47, wherein said location related parameter is global positioning data of said individual.
  49. 49. The device of claim 32 further comprising a means to input data related to said individual's life activities.
  50. 50. The device claim 49, wherein said means to input utilizes voice recognition or email.
  51. 51. The device of claim 32, wherein said output data comprises at least one of an alert and a reminder.
  52. 52. The device of claim 32, wherein said processor is further programmed to utilize data from a third-party source to cause said output means to provide output data to a recipient.
  53. 53. The cellular telephone of claim 1, wherein said data indicative of a second physiological parameter of said individual is selected from the group consisting of—a heart-related parameter of said individual, a respiration-related parameter of said individual, a weight-related parameter of said individual, a motion-related parameter of said individual, a skin temperature-related parameter of said individual, data related to the impedance of said individual's skin, data related to the composition of said individual's blood.
  54. 54. The cellular telephone of claim 17, wherein said data indicative of a second physiological parameter of said individual is selected from the group consisting of—a heart-related parameter of said individual, a respiration-related parameter of said individual, a weight-related parameter of said individual, a motion-related parameter of said individual, a skin temperature-related parameter of said individual, data related to the impedance of said individual's skin, data related to the composition of said individual's blood.
  55. 55. The cellular telephone of claim 15, wherein said processing unit is further programmed to derive from, (a) said data indicative of a first physiological parameter of said individual and (b) at least one of said data indicative of (i) a second physiological parameter of said individual, (ii) a contextual parameter of said individual, and (ii) said data from a third-party source, physiological state information of said individual, and to cause said output means to provide output data to a recipient based on said derived physiological state information.
  56. 56. The cellular telephone of claim 30, wherein said processing unit is further programmed to derive from, (a) said data indicative of a first physiological parameter of said individual and (b) at least one of said data indicative of (i) a second physiological parameter of said individual, (ii) a contextual parameter of said individual, and (ii) said data from a third-party source, physiological state information of said individual, and to cause said output means to provide output data to a recipient based on said derived physiological state information.
  57. 57. The device of claim 52, wherein said processing unit is further programmed to derive from, (a) said data indicative of a first physiological parameter of said individual and (b) at least one of said data indicative of (i) a second physiological parameter of said individual, (ii) a contextual parameter of said individual, and (ii) said data from a third-party source, physiological state information of said individual, and to cause said output means to provide output data to a recipient based on said derived physiological state information.
  58. 58. The cellular telephone of claim 2, wherein said physiological state information cannot be directly detected from either of said data indicative of a first physiological parameter of said individual, said data indicative of a second physiological parameter of said individual, said data indicative of a contextual parameter of said individual alone.
  59. 59. The cellular telephone of claim 18, wherein said physiological state information cannot be directly detected from either of said data indicative of a first physiological parameter of said individual, said data indicative of a second physiological parameter of said individual, said data indicative of a contextual parameter of said individual alone.
  60. 60. The device of claim 33, wherein said physiological state information cannot be directly detected from either of said data indicative of a first physiological parameter of said individual, said data indicative of a second physiological parameter of said individual, said data indicative of a contextual parameter of said individual alone.
US14249135 2000-06-16 2014-04-09 System for monitoring and presenting health, wellness and fitness data having user selectable parameter Abandoned US20140221787A1 (en)

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US09595660 US7689437B1 (en) 2000-06-16 2000-06-16 System for monitoring health, wellness and fitness
US09602537 US6605038B1 (en) 2000-06-16 2000-06-23 System for monitoring health, wellness and fitness
US10638588 US20040034289A1 (en) 2000-06-16 2003-08-11 System for monitoring health, wellness and fitness
US11434949 US8961413B2 (en) 2000-06-16 2006-05-16 Wireless communications device and personal monitor
US14249135 US20140221787A1 (en) 2000-06-16 2014-04-09 System for monitoring and presenting health, wellness and fitness data having user selectable parameter

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US14249211 US20140221788A1 (en) 2000-06-16 2014-04-09 System for monitoring and presenting health, wellness and fitness data having user selectable parameters
US14249135 US20140221787A1 (en) 2000-06-16 2014-04-09 System for monitoring and presenting health, wellness and fitness data having user selectable parameter

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US11434949 Continuation US8961413B2 (en) 2000-06-16 2006-05-16 Wireless communications device and personal monitor

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US14249211 Continuation US20140221788A1 (en) 2000-06-16 2014-04-09 System for monitoring and presenting health, wellness and fitness data having user selectable parameters

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US11434949 Active 2020-09-29 US8961413B2 (en) 2000-06-16 2006-05-16 Wireless communications device and personal monitor
US14249135 Abandoned US20140221787A1 (en) 2000-06-16 2014-04-09 System for monitoring and presenting health, wellness and fitness data having user selectable parameter
US14249211 Abandoned US20140221788A1 (en) 2000-06-16 2014-04-09 System for monitoring and presenting health, wellness and fitness data having user selectable parameters
US14630616 Abandoned US20150374301A1 (en) 2000-06-16 2015-02-24 Wireless communications device and personal monitor

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US14630616 Abandoned US20150374301A1 (en) 2000-06-16 2015-02-24 Wireless communications device and personal monitor

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Families Citing this family (307)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6266623B1 (en) 1994-11-21 2001-07-24 Phatrat Technology, Inc. Sport monitoring apparatus for determining loft time, speed, power absorbed and other factors such as height
US5915380A (en) 1997-03-14 1999-06-29 Nellcor Puritan Bennett Incorporated System and method for controlling the start up of a patient ventilator
US7749089B1 (en) 1999-02-26 2010-07-06 Creative Kingdoms, Llc Multi-media interactive play system
US6811516B1 (en) 1999-10-29 2004-11-02 Brian M. Dugan Methods and apparatus for monitoring and encouraging health and fitness
US7445550B2 (en) 2000-02-22 2008-11-04 Creative Kingdoms, Llc Magical wand and interactive play experience
US7878905B2 (en) 2000-02-22 2011-02-01 Creative Kingdoms, Llc Multi-layered interactive play experience
US9446319B2 (en) 2003-03-25 2016-09-20 Mq Gaming, Llc Interactive gaming toy
US6761637B2 (en) 2000-02-22 2004-07-13 Creative Kingdoms, Llc Method of game play using RFID tracking device
US6730024B2 (en) * 2000-05-17 2004-05-04 Brava, Llc Method and apparatus for collecting patient compliance data including processing and display thereof over a computer network
US6514200B1 (en) 2000-05-17 2003-02-04 Brava, Llc Patient compliance monitor
JP2007505412K1 (en) * 2003-09-12 2007-03-08
US7066781B2 (en) 2000-10-20 2006-06-27 Denise Chapman Weston Children's toy with wireless tag/transponder
US8280682B2 (en) 2000-12-15 2012-10-02 Tvipr, Llc Device for monitoring movement of shipped goods
US8939831B2 (en) 2001-03-08 2015-01-27 Brian M. Dugan Systems and methods for improving fitness equipment and exercise
US20020160883A1 (en) 2001-03-08 2002-10-31 Dugan Brian M. System and method for improving fitness equipment and exercise
US20070111858A1 (en) * 2001-03-08 2007-05-17 Dugan Brian M Systems and methods for using a video game to achieve an exercise objective
WO2003009185A3 (en) * 2001-07-20 2007-11-15 Daryl Chait Health and wellbeing monitoring and advisory system
JP3852352B2 (en) * 2002-03-14 2006-11-29 セイコーエプソン株式会社 Biological activity measuring apparatus
US6967566B2 (en) 2002-04-05 2005-11-22 Creative Kingdoms, Llc Live-action interactive adventure game
US20070066396A1 (en) 2002-04-05 2007-03-22 Denise Chapman Weston Retail methods for providing an interactive product to a consumer
DE60317766D1 (en) * 2002-04-09 2008-01-10 Matsushita Electric Ind Co Ltd System for the preservation of health and methods for preservation of health
US7674184B2 (en) 2002-08-01 2010-03-09 Creative Kingdoms, Llc Interactive water attraction and quest game
CA2397185A1 (en) * 2002-08-05 2004-02-05 Christian Cloutier Baby activity monitor
US7020508B2 (en) * 2002-08-22 2006-03-28 Bodymedia, Inc. Apparatus for detecting human physiological and contextual information
DE10243937A1 (en) * 2002-09-20 2004-04-01 MCC Gesellschaft für Diagnosesysteme in Medizin und Technik mbH & Co. KG Method and apparatus for determining a sleep Profiles
JP4813058B2 (en) * 2002-10-09 2011-11-09 ボディーメディア インコーポレイテッド Detecting human physiological and contextual information, receiving, deriving and apparatus for displaying
US7811231B2 (en) 2002-12-31 2010-10-12 Abbott Diabetes Care Inc. Continuous glucose monitoring system and methods of use
US20050107723A1 (en) * 2003-02-15 2005-05-19 Wehman Thomas C. Methods and apparatus for determining work performed by an individual from measured physiological parameters
US20040176991A1 (en) * 2003-03-05 2004-09-09 Mckennan Carol System, method and apparatus using biometrics to communicate dissatisfaction via stress level
DE10313837A1 (en) * 2003-03-31 2004-10-14 Paul Hartmann Ag Body function measurement device to be carried/worn on the body of a person or animal for recording physiological body function parameters has a data store and an interchangeable battery
US7587287B2 (en) 2003-04-04 2009-09-08 Abbott Diabetes Care Inc. Method and system for transferring analyte test data
EP1614040A4 (en) * 2003-04-08 2009-03-11 Medic4All Ag A portable wireless gateway for remote medical examination
US7182738B2 (en) 2003-04-23 2007-02-27 Marctec, Llc Patient monitoring apparatus and method for orthosis and other devices
US7679407B2 (en) 2003-04-28 2010-03-16 Abbott Diabetes Care Inc. Method and apparatus for providing peak detection circuitry for data communication systems
US8066639B2 (en) 2003-06-10 2011-11-29 Abbott Diabetes Care Inc. Glucose measuring device for use in personal area network
US7722536B2 (en) * 2003-07-15 2010-05-25 Abbott Diabetes Care Inc. Glucose measuring device integrated into a holster for a personal area network device
US20050049920A1 (en) * 2003-08-29 2005-03-03 Robin Day System for tracking nutritional content of food purchases
US7278966B2 (en) * 2004-01-31 2007-10-09 Nokia Corporation System, method and computer program product for managing physiological information relating to a terminal user
US20050172311A1 (en) * 2004-01-31 2005-08-04 Nokia Corporation Terminal and associated method and computer program product for monitoring at least one activity of a user
US8771183B2 (en) 2004-02-17 2014-07-08 Abbott Diabetes Care Inc. Method and system for providing data communication in continuous glucose monitoring and management system
US7543330B2 (en) * 2004-04-08 2009-06-02 International Business Machines Corporation Method and apparatus for governing the transfer of physiological and emotional user data
JP2005324004A (en) * 2004-04-16 2005-11-24 Denso Corp Living body state measuring instrument
WO2005110209A1 (en) * 2004-05-18 2005-11-24 Koninklijke Philips Electronics N. V. Remote control with alert function
CA2567688C (en) * 2004-05-28 2016-08-02 Geest Jan De Communication unit for a person's skin
WO2006014810A3 (en) 2004-07-29 2006-12-21 Kevin Ferguson A human movement measurement system
WO2006033104A1 (en) * 2004-09-22 2006-03-30 Shalon Ventures Research, Llc Systems and methods for monitoring and modifying behavior
CA2587472C (en) * 2004-10-22 2015-01-20 Mytrak Health System Inc. Method of characterizing physical performance
US7545272B2 (en) 2005-02-08 2009-06-09 Therasense, Inc. RF tag on test strips, test strip vials and boxes
US8152710B2 (en) * 2006-04-06 2012-04-10 Ethicon Endo-Surgery, Inc. Physiological parameter analysis for an implantable restriction device and a data logger
US8870742B2 (en) * 2006-04-06 2014-10-28 Ethicon Endo-Surgery, Inc. GUI for an implantable restriction device and a data logger
US20060235282A1 (en) * 2005-03-17 2006-10-19 Helen Wesolowski Methods for the treatment of mammals with abnormal glucose tolerance
US7448874B2 (en) * 2005-04-19 2008-11-11 Martha J. Willis Revokable Living Trust Apparatus and method to monitor body temperature
US7768408B2 (en) 2005-05-17 2010-08-03 Abbott Diabetes Care Inc. Method and system for providing data management in data monitoring system
US20070042972A1 (en) * 2005-05-24 2007-02-22 Mckeever Kenneth H Compositions and methods for optimizing exercise recovery
US8502681B2 (en) * 2005-06-20 2013-08-06 Biovigil, Llc Hand cleanliness
US7936275B2 (en) * 2005-06-20 2011-05-03 Biovigil, Llc Hand cleanliness
US7286057B2 (en) * 2005-06-20 2007-10-23 Biovigil Llc Hand cleanliness
US7616122B2 (en) 2005-06-20 2009-11-10 Biovigil, Llc Hand cleanliness
US7942745B2 (en) * 2005-08-22 2011-05-17 Nintendo Co., Ltd. Game operating device
US8313379B2 (en) * 2005-08-22 2012-11-20 Nintendo Co., Ltd. Video game system with wireless modular handheld controller
JP4805633B2 (en) * 2005-08-22 2011-11-02 任天堂株式会社 Game operating device
JP4262726B2 (en) * 2005-08-24 2009-05-13 任天堂株式会社 Game controller and a game system
WO2007027706A3 (en) * 2005-08-29 2007-11-01 Adrian M Blanarovich Apparatus and system for measuring and communicating physical activity data
US8308563B2 (en) 2005-08-30 2012-11-13 Nintendo Co., Ltd. Game system and storage medium having game program stored thereon
JP2009509570A (en) 2005-09-07 2009-03-12 タイコ ヘルスケア グループ リミテッド パートナーシップ Self-contained wound dressing devices
US20070051842A1 (en) * 2005-09-08 2007-03-08 Pryor Anne M Personal device with tether system and method of use
US8157651B2 (en) 2005-09-12 2012-04-17 Nintendo Co., Ltd. Information processing program
US7927216B2 (en) 2005-09-15 2011-04-19 Nintendo Co., Ltd. Video game system with wireless modular handheld controller
US7756561B2 (en) * 2005-09-30 2010-07-13 Abbott Diabetes Care Inc. Method and apparatus for providing rechargeable power in data monitoring and management systems
US8880138B2 (en) 2005-09-30 2014-11-04 Abbott Diabetes Care Inc. Device for channeling fluid and methods of use
WO2007047889A3 (en) 2005-10-18 2007-08-09 Phatrat Technology Llc Shoe wear-out sensor, body-bar sensing system, unitless activity assessment and associated methods
US7583190B2 (en) 2005-10-31 2009-09-01 Abbott Diabetes Care Inc. Method and apparatus for providing data communication in data monitoring and management systems
US7766829B2 (en) 2005-11-04 2010-08-03 Abbott Diabetes Care Inc. Method and system for providing basal profile modification in analyte monitoring and management systems
US20070135690A1 (en) * 2005-12-08 2007-06-14 Nicholl Richard V Mobile communication device that provides health feedback
US7697967B2 (en) 2005-12-28 2010-04-13 Abbott Diabetes Care Inc. Method and apparatus for providing analyte sensor insertion
US20070179356A1 (en) * 2005-12-29 2007-08-02 Guidance Interactive Healthcare, Inc. Programmable devices, systems and methods for encouraging the monitoring of medical parameters
US20070197881A1 (en) * 2006-02-22 2007-08-23 Wolf James L Wireless Health Monitor Device and System with Cognition
US7826879B2 (en) 2006-02-28 2010-11-02 Abbott Diabetes Care Inc. Analyte sensors and methods of use
US8920343B2 (en) 2006-03-23 2014-12-30 Michael Edward Sabatino Apparatus for acquiring and processing of physiological auditory signals
US7801582B2 (en) 2006-03-31 2010-09-21 Abbott Diabetes Care Inc. Analyte monitoring and management system and methods therefor
US8226891B2 (en) 2006-03-31 2012-07-24 Abbott Diabetes Care Inc. Analyte monitoring devices and methods therefor
US7620438B2 (en) 2006-03-31 2009-11-17 Abbott Diabetes Care Inc. Method and system for powering an electronic device
US8021310B2 (en) 2006-04-21 2011-09-20 Nellcor Puritan Bennett Llc Work of breathing display for a ventilation system
US8172882B2 (en) * 2006-06-14 2012-05-08 Spartek Medical, Inc. Implant system and method to treat degenerative disorders of the spine
US8781568B2 (en) 2006-06-23 2014-07-15 Brian M. Dugan Systems and methods for heart rate monitoring, data transmission, and use
US7733224B2 (en) * 2006-06-30 2010-06-08 Bao Tran Mesh network personal emergency response appliance
US20080033827A1 (en) * 2006-08-02 2008-02-07 Shaobo Kuang Nutrition / diet control system
US20080031838A1 (en) * 2006-08-03 2008-02-07 Bolling Steven F Tracing hand cleaner
US7653425B2 (en) 2006-08-09 2010-01-26 Abbott Diabetes Care Inc. Method and system for providing calibration of an analyte sensor in an analyte monitoring system
EP1897598A1 (en) 2006-09-06 2008-03-12 Nederlandse Organisatie voor toegepast- natuurwetenschappelijk onderzoek TNO System for training optimisation
US7784461B2 (en) 2006-09-26 2010-08-31 Nellcor Puritan Bennett Llc Three-dimensional waveform display for a breathing assistance system
US7618369B2 (en) 2006-10-02 2009-11-17 Abbott Diabetes Care Inc. Method and system for dynamically updating calibration parameters for an analyte sensor
US8337335B2 (en) 2006-10-07 2012-12-25 Dugan Brian M Systems and methods for measuring and/or analyzing swing information
US8430770B2 (en) 2006-10-07 2013-04-30 Brian M. Dugan Systems and methods for measuring and/or analyzing swing information
US7988628B2 (en) * 2006-10-18 2011-08-02 Bagan Kenneth J Security enabled medical screening device
US8579853B2 (en) 2006-10-31 2013-11-12 Abbott Diabetes Care Inc. Infusion devices and methods
US7659824B2 (en) 2006-10-31 2010-02-09 Resurgent Health & Medical, Llc Sanitizer dispensers with compliance verification
US7698770B2 (en) 2006-10-31 2010-04-20 Resurgent Health & Medical, Llc Automated appendage cleaning apparatus with brush
US7607443B2 (en) 2006-10-31 2009-10-27 Resurgent Health & Medical, Llc Wash chamber for automated appendage-washing apparatus
US7818083B2 (en) 2006-10-31 2010-10-19 Resurgent Health & Medical, Llc Automated washing system with compliance verification and automated compliance monitoring reporting
US8540515B2 (en) * 2006-11-27 2013-09-24 Pharos Innovations, Llc Optimizing behavioral change based on a population statistical profile
US8540516B2 (en) 2006-11-27 2013-09-24 Pharos Innovations, Llc Optimizing behavioral change based on a patient statistical profile
US8540517B2 (en) * 2006-11-27 2013-09-24 Pharos Innovations, Llc Calculating a behavioral path based on a statistical profile
US7868757B2 (en) * 2006-12-29 2011-01-11 Nokia Corporation Method for the monitoring of sleep using an electronic device
CA2673796A1 (en) * 2007-01-10 2008-07-17 Camillo Ricordi Mobile emergency alert system
US20080250418A1 (en) * 2007-02-08 2008-10-09 Karamchedu Murali M Health care administration system
US20080319855A1 (en) * 2007-02-16 2008-12-25 Stivoric John M Advertising and marketing based on lifeotypes
US9636450B2 (en) * 2007-02-19 2017-05-02 Udo Hoss Pump system modular components for delivering medication and analyte sensing at seperate insertion sites
US8123686B2 (en) 2007-03-01 2012-02-28 Abbott Diabetes Care Inc. Method and apparatus for providing rolling data in communication systems
DE102008042239A1 (en) 2007-09-22 2009-07-16 Papastefanou, Georgios, Dr. Elastic wristband, has processor and sensor units, which are attached at carriers and are electrically connected with each other over carriers, where carrier is physically and electrically connected with each other using intermediate piece
EP2137637A4 (en) 2007-04-14 2012-06-20 Abbott Diabetes Care Inc Method and apparatus for providing data processing and control in medical communication system
CA2683959C (en) 2007-04-14 2017-08-29 Abbott Diabetes Care Inc. Method and apparatus for providing data processing and control in medical communication system
US9008743B2 (en) 2007-04-14 2015-04-14 Abbott Diabetes Care Inc. Method and apparatus for providing data processing and control in medical communication system
US9204827B2 (en) 2007-04-14 2015-12-08 Abbott Diabetes Care Inc. Method and apparatus for providing data processing and control in medical communication system
US7768387B2 (en) 2007-04-14 2010-08-03 Abbott Diabetes Care Inc. Method and apparatus for providing dynamic multi-stage signal amplification in a medical device
US7928850B2 (en) 2007-05-08 2011-04-19 Abbott Diabetes Care Inc. Analyte monitoring system and methods
US8456301B2 (en) 2007-05-08 2013-06-04 Abbott Diabetes Care Inc. Analyte monitoring system and methods
US8665091B2 (en) 2007-05-08 2014-03-04 Abbott Diabetes Care Inc. Method and device for determining elapsed sensor life
US8461985B2 (en) 2007-05-08 2013-06-11 Abbott Diabetes Care Inc. Analyte monitoring system and methods
US8239166B2 (en) 2007-05-14 2012-08-07 Abbott Diabetes Care Inc. Method and apparatus for providing data processing and control in a medical communication system
US8444560B2 (en) 2007-05-14 2013-05-21 Abbott Diabetes Care Inc. Method and apparatus for providing data processing and control in a medical communication system
US8260558B2 (en) 2007-05-14 2012-09-04 Abbott Diabetes Care Inc. Method and apparatus for providing data processing and control in a medical communication system
US9125548B2 (en) 2007-05-14 2015-09-08 Abbott Diabetes Care Inc. Method and apparatus for providing data processing and control in a medical communication system
US8600681B2 (en) 2007-05-14 2013-12-03 Abbott Diabetes Care Inc. Method and apparatus for providing data processing and control in a medical communication system
US8103471B2 (en) 2007-05-14 2012-01-24 Abbott Diabetes Care Inc. Method and apparatus for providing data processing and control in a medical communication system
US8140312B2 (en) 2007-05-14 2012-03-20 Abbott Diabetes Care Inc. Method and system for determining analyte levels
US8560038B2 (en) 2007-05-14 2013-10-15 Abbott Diabetes Care Inc. Method and apparatus for providing data processing and control in a medical communication system
US8597188B2 (en) 2007-06-21 2013-12-03 Abbott Diabetes Care Inc. Health management devices and methods
CA2690870C (en) 2007-06-21 2017-07-11 Abbott Diabetes Care Inc. Health monitor
US20110020785A1 (en) * 2007-07-26 2011-01-27 T2 Biosystems, Inc. Diagnostic Information Generation and Use
US8834366B2 (en) 2007-07-31 2014-09-16 Abbott Diabetes Care Inc. Method and apparatus for providing analyte sensor calibration
US9046919B2 (en) 2007-08-20 2015-06-02 Hmicro, Inc. Wearable user interface device, system, and method of use
US8926509B2 (en) 2007-08-24 2015-01-06 Hmicro, Inc. Wireless physiological sensor patches and systems
US20090062686A1 (en) * 2007-09-05 2009-03-05 Hyde Roderick A Physiological condition measuring device
WO2009034238A1 (en) * 2007-09-11 2009-03-19 Franck Baudino Health cabin
EP2194856A4 (en) 2007-09-14 2014-07-16 Corventis Inc Adherent cardiac monitor with advanced sensing capabilities
US9411936B2 (en) 2007-09-14 2016-08-09 Medtronic Monitoring, Inc. Dynamic pairing of patients to data collection gateways
EP2194864A4 (en) 2007-09-14 2014-11-12 Corventis Inc System and methods for wireless body fluid monitoring
US20090076345A1 (en) 2007-09-14 2009-03-19 Corventis, Inc. Adherent Device with Multiple Physiological Sensors
WO2009036256A1 (en) 2007-09-14 2009-03-19 Corventis, Inc. Injectable physiological monitoring system
US8591430B2 (en) 2007-09-14 2013-11-26 Corventis, Inc. Adherent device for respiratory monitoring
EP2194858B1 (en) * 2007-09-14 2017-11-22 Corventis, Inc. Medical device automatic start-up upon contact to patient tissue
US8409093B2 (en) 2007-10-23 2013-04-02 Abbott Diabetes Care Inc. Assessing measures of glycemic variability
US8374668B1 (en) 2007-10-23 2013-02-12 Abbott Diabetes Care Inc. Analyte sensor with lag compensation
US8611319B2 (en) 2007-10-24 2013-12-17 Hmicro, Inc. Methods and apparatus to retrofit wired healthcare and fitness systems for wireless operation
US8251903B2 (en) 2007-10-25 2012-08-28 Valencell, Inc. Noninvasive physiological analysis using excitation-sensor modules and related devices and methods
US8402151B2 (en) 2007-12-07 2013-03-19 Roche Diagnostics Operations, Inc. Dynamic communication stack
US9886549B2 (en) 2007-12-07 2018-02-06 Roche Diabetes Care, Inc. Method and system for setting time blocks
US9003538B2 (en) 2007-12-07 2015-04-07 Roche Diagnostics Operations, Inc. Method and system for associating database content for security enhancement
US8078592B2 (en) 2007-12-07 2011-12-13 Roche Diagnostics Operations, Inc. System and method for database integrity checking
US20090164239A1 (en) * 2007-12-19 2009-06-25 Abbott Diabetes Care, Inc. Dynamic Display Of Glucose Information
US20090164251A1 (en) * 2007-12-19 2009-06-25 Abbott Diabetes Care, Inc. Method and apparatus for providing treatment profile management
US8218756B2 (en) * 2008-01-10 2012-07-10 Broadcom Corporation User-controllable equalization for telephony
US8473022B2 (en) 2008-01-31 2013-06-25 Abbott Diabetes Care Inc. Analyte sensor with time lag compensation
WO2009114548A1 (en) 2008-03-12 2009-09-17 Corventis, Inc. Heart failure decompensation prediction based on cardiac rhythm
FR2929427B1 (en) * 2008-03-26 2012-12-28 Univ Rennes A method of assessing the health and / or shape, the device and corresponding computer program product
US8976007B2 (en) 2008-08-09 2015-03-10 Brian M. Dugan Systems and methods for providing biofeedback information to a cellular telephone and for using such information
WO2009146214A1 (en) 2008-04-18 2009-12-03 Corventis, Inc. Method and apparatus to measure bioelectric impedance of patient tissue
EP2110763A1 (en) * 2008-04-18 2009-10-21 Strength Master Fitness Tech Co., Ltd. Health management feedback method using fitness equipments
US8294585B2 (en) 2008-04-29 2012-10-23 Resurgent Health & Medical, Llc Complete hand care
US8936552B2 (en) 2008-05-14 2015-01-20 Heartmiles, Llc Physical activity monitor and data collection unit
US7826382B2 (en) 2008-05-30 2010-11-02 Abbott Diabetes Care Inc. Close proximity communication device and methods
WO2010022108A3 (en) * 2008-08-18 2010-06-10 Envisionier Medical Technologies, Inc. Fluid delivery catheter apparatus
US20100057040A1 (en) * 2008-08-31 2010-03-04 Abbott Diabetes Care, Inc. Robust Closed Loop Control And Methods
US8622988B2 (en) * 2008-08-31 2014-01-07 Abbott Diabetes Care Inc. Variable rate closed loop control and methods
US9392969B2 (en) 2008-08-31 2016-07-19 Abbott Diabetes Care Inc. Closed loop control and signal attenuation detection
US8734422B2 (en) 2008-08-31 2014-05-27 Abbott Diabetes Care Inc. Closed loop control with improved alarm functions
US9943644B2 (en) * 2008-08-31 2018-04-17 Abbott Diabetes Care Inc. Closed loop control with reference measurement and methods thereof
CN107506569A (en) * 2008-09-24 2017-12-22 瑞思迈传感器技术有限公司 Contactless and minimal-contact monitoring of quality of life parameters for assessment and intervention
US8986208B2 (en) * 2008-09-30 2015-03-24 Abbott Diabetes Care Inc. Analyte sensor sensitivity attenuation mitigation
US20100097193A1 (en) * 2008-10-22 2010-04-22 Palo Alto Medical Foundation Lifestyle management system and method
CN102197304B (en) 2008-11-04 2013-08-28 松下电器产业株式会社 Measurement device, insulin infusion device, measurement method, method for controlling insulin infusion device, and program
US8823490B2 (en) 2008-12-15 2014-09-02 Corventis, Inc. Patient monitoring systems and methods
EP2368202A1 (en) * 2008-12-18 2011-09-28 Clean Contact Aps Hand hygiene system
US8771204B2 (en) 2008-12-30 2014-07-08 Masimo Corporation Acoustic sensor assembly
EP3127476A1 (en) 2009-02-25 2017-02-08 Valencell, Inc. Light-guiding devices and monitoring devices incorporating same
US9750462B2 (en) 2009-02-25 2017-09-05 Valencell, Inc. Monitoring apparatus and methods for measuring physiological and/or environmental conditions
US8788002B2 (en) 2009-02-25 2014-07-22 Valencell, Inc. Light-guiding devices and monitoring devices incorporating same
EP2400886A4 (en) * 2009-02-26 2014-07-02 Abbott Diabetes Care Inc Improved analyte sensors and methods of making and using the same
US9066664B2 (en) * 2009-03-13 2015-06-30 Polar Electro Oy Data transfer
WO2010127050A1 (en) 2009-04-28 2010-11-04 Abbott Diabetes Care Inc. Error detection in critical repeating data in a wireless sensor system
GB0912465D0 (en) * 2009-07-17 2009-08-26 Sharp Kk System and method for improving sleep quality in children
GB0912462D0 (en) * 2009-07-17 2009-08-26 Sharp Kk System and method for improving sleep quality
US8454437B2 (en) 2009-07-17 2013-06-04 Brian M. Dugan Systems and methods for portable exergaming
CN104799866A (en) * 2009-07-23 2015-07-29 雅培糖尿病护理公司 The analyte monitoring device
EP2456351B1 (en) 2009-07-23 2016-10-12 Abbott Diabetes Care, Inc. Real time management of data relating to physiological control of glucose levels
US20110029910A1 (en) * 2009-07-31 2011-02-03 Nellcor Puritan Bennett Llc Method And System For Providing A Graphical User Interface For Delivering A Low Flow Recruitment Maneuver
US8478557B2 (en) * 2009-07-31 2013-07-02 Abbott Diabetes Care Inc. Method and apparatus for providing analyte monitoring system calibration accuracy
EP2473099A4 (en) 2009-08-31 2015-01-14 Abbott Diabetes Care Inc Analyte monitoring system and methods for managing power and noise
EP2473098A4 (en) * 2009-08-31 2014-04-09 Abbott Diabetes Care Inc Analyte signal processing device and methods
US9351669B2 (en) 2009-09-30 2016-05-31 Abbott Diabetes Care Inc. Interconnect for on-body analyte monitoring device
WO2011047216A3 (en) * 2009-10-15 2011-08-04 Masimo Corporation Physiological acoustic monitoring system
US8702627B2 (en) 2009-10-15 2014-04-22 Masimo Corporation Acoustic respiratory monitoring sensor having multiple sensing elements
WO2011050283A3 (en) 2009-10-22 2011-07-14 Corventis, Inc. Remote detection and monitoring of functional chronotropic incompetence
ES2335568B1 (en) * 2009-10-26 2011-02-02 Sener, Ingenieria Y Sistemas, S.A. System physiological monitoring distributed.
DE102009051437A1 (en) * 2009-10-30 2011-05-05 Deutsche Telekom Ag Method and arrangement for interactive Exercising
US9119925B2 (en) * 2009-12-04 2015-09-01 Covidien Lp Quick initiation of respiratory support via a ventilator user interface
US8924878B2 (en) 2009-12-04 2014-12-30 Covidien Lp Display and access to settings on a ventilator graphical user interface
US8335992B2 (en) * 2009-12-04 2012-12-18 Nellcor Puritan Bennett Llc Visual indication of settings changes on a ventilator graphical user interface
US9451897B2 (en) 2009-12-14 2016-09-27 Medtronic Monitoring, Inc. Body adherent patch with electronics for physiologic monitoring
US9262588B2 (en) 2009-12-18 2016-02-16 Covidien Lp Display of respiratory data graphs on a ventilator graphical user interface
US8499252B2 (en) * 2009-12-18 2013-07-30 Covidien Lp Display of respiratory data graphs on a ventilator graphical user interface
US20110166940A1 (en) * 2010-01-05 2011-07-07 Searete Llc Micro-impulse radar detection of a human demographic and delivery of targeted media content
US9024814B2 (en) 2010-01-05 2015-05-05 The Invention Science Fund I, Llc Tracking identities of persons using micro-impulse radar
US9019149B2 (en) 2010-01-05 2015-04-28 The Invention Science Fund I, Llc Method and apparatus for measuring the motion of a person
US20110166937A1 (en) * 2010-01-05 2011-07-07 Searete Llc Media output with micro-impulse radar feedback of physiological response
US8884813B2 (en) 2010-01-05 2014-11-11 The Invention Science Fund I, Llc Surveillance of stress conditions of persons using micro-impulse radar
JP2011171983A (en) * 2010-02-18 2011-09-01 Sony Corp Apparatus and, processing information method, and computer-readable recording medium
US20110225008A1 (en) * 2010-03-09 2011-09-15 Respira Dv, Llc Self-Similar Medical Communications System
US8965498B2 (en) 2010-04-05 2015-02-24 Corventis, Inc. Method and apparatus for personalized physiologic parameters
US9326712B1 (en) 2010-06-02 2016-05-03 Masimo Corporation Opticoustic sensor
US20130150755A1 (en) * 2010-07-09 2013-06-13 Erik N. Kubiak Systems, devices, and methods for providing foot loading feedback to patients and physicians during a period of partial weight bearing
US9069067B2 (en) 2010-09-17 2015-06-30 The Invention Science Fund I, Llc Control of an electronic apparatus using micro-impulse radar
US9167991B2 (en) 2010-09-30 2015-10-27 Fitbit, Inc. Portable monitoring devices and methods of operating same
WO2012046887A1 (en) * 2010-10-04 2012-04-12 엘지전자 주식회사 Electronic device and method for operating an electronic device
WO2012051278A1 (en) 2010-10-12 2012-04-19 Tanis Kevin J Medical device
US20120094600A1 (en) 2010-10-19 2012-04-19 Welch Allyn, Inc. Platform for patient monitoring
US8814754B2 (en) 2010-11-01 2014-08-26 Nike, Inc. Wearable device having athletic functionality
US9011292B2 (en) 2010-11-01 2015-04-21 Nike, Inc. Wearable device assembly having athletic functionality
US9383220B2 (en) 2010-11-01 2016-07-05 Nike, Inc. Activity identification
KR101797421B1 (en) * 2012-01-18 2017-11-13 나이키 이노베이트 씨.브이. Method and apparatus for identifying activities
US8682704B2 (en) 2011-01-03 2014-03-25 Express Scripts, Inc. Methods and systems for scheduling activity level based meetings
US20120203076A1 (en) * 2011-02-08 2012-08-09 Jean Pierre Fatta Portable Physiological Data Monitoring Device
CN107019515A (en) 2011-02-28 2017-08-08 雅培糖尿病护理公司 Devices, systems, and methods associated with analyte monitoring devices and devices incorporating the same
US9533228B2 (en) 2011-03-28 2017-01-03 Brian M. Dugan Systems and methods for fitness and video games
US9610506B2 (en) 2011-03-28 2017-04-04 Brian M. Dugan Systems and methods for fitness and video games
US20120253489A1 (en) 2011-03-28 2012-10-04 Dugan Brian M Systems and methods for fitness and video games
US8947226B2 (en) 2011-06-03 2015-02-03 Brian M. Dugan Bands for measuring biometric information
CA2814681A1 (en) * 2011-06-10 2012-12-13 Aliphcom Wearable device and platform for sensory input
US8446275B2 (en) 2011-06-10 2013-05-21 Aliphcom General health and wellness management method and apparatus for a wellness application using data from a data-capable band
US9258670B2 (en) 2011-06-10 2016-02-09 Aliphcom Wireless enabled cap for a data-capable device
US20120315382A1 (en) 2011-06-10 2012-12-13 Aliphcom Component protective overmolding using protective external coatings
US9069380B2 (en) 2011-06-10 2015-06-30 Aliphcom Media device, application, and content management using sensory input
US20120313296A1 (en) * 2011-06-10 2012-12-13 Aliphcom Component protective overmolding
US8793522B2 (en) 2011-06-11 2014-07-29 Aliphcom Power management in a data-capable strapband
US9201812B2 (en) 2011-07-25 2015-12-01 Aliphcom Multiple logical representations of audio functions in a wireless audio transmitter that transmits audio data at different data rates
US9427191B2 (en) 2011-07-25 2016-08-30 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
US9782077B2 (en) * 2011-08-17 2017-10-10 Masimo Corporation Modulated physiological sensor
USD733727S1 (en) 2011-10-11 2015-07-07 Proteus Digital Health, Inc. Display screen portion having a graphical user interface for patient monitoring
USD733761S1 (en) 2011-10-11 2015-07-07 Proteus Digital Health, Inc. Display screen portion having a graphical user interface for patient monitoring
USD733760S1 (en) 2011-10-11 2015-07-07 Proteus Digital Health, Inc. Display screen portion having a graphical user interface for patient monitoring
EP2765909A1 (en) 2011-10-13 2014-08-20 Masimo Corporation Physiological acoustic monitoring system
WO2013056071A1 (en) 2011-10-14 2013-04-18 Beam Technologies, Llc Oral health care implement and system with oximetry sensor
WO2013066873A1 (en) 2011-10-31 2013-05-10 Abbott Diabetes Care Inc. Electronic devices having integrated reset systems and methods thereof
US8710993B2 (en) 2011-11-23 2014-04-29 Abbott Diabetes Care Inc. Mitigating single point failure of devices in an analyte monitoring system and methods thereof
US9317656B2 (en) 2011-11-23 2016-04-19 Abbott Diabetes Care Inc. Compatibility mechanisms for devices in a continuous analyte monitoring system and methods thereof
US9327960B2 (en) 2014-06-16 2016-05-03 Iqhydr8, Llc Volume sensing beverage container cap system
US9320375B2 (en) 2014-06-16 2016-04-26 Iqhydr8, Llc Activity and volume sensing beverage container cap system
JP5978716B2 (en) * 2012-03-30 2016-08-24 ソニー株式会社 The information processing apparatus, information processing method, and program
US20130303946A1 (en) * 2012-05-09 2013-11-14 Western New England University Wearable article for detecting an impact and method of operation
CN102688033A (en) * 2012-05-24 2012-09-26 中北大学 Household remote electrocardiogram signal monitor
US9042596B2 (en) 2012-06-14 2015-05-26 Medibotics Llc Willpower watch (TM)—a wearable food consumption monitor
US9044149B2 (en) 2012-06-22 2015-06-02 Fitbit, Inc. Heart rate data collection
DE102012214697A1 (en) * 2012-08-01 2014-02-06 Soma Analytics Ug (Haftungsbeschränkt) The device, method and application for determining a current load levels
CN104619253B (en) * 2012-09-10 2017-11-07 皇家飞利浦有限公司 Reliability improved apparatus and method for measuring physiological parameters of
US9955937B2 (en) 2012-09-20 2018-05-01 Masimo Corporation Acoustic patient sensor coupler
US9254095B2 (en) 2012-11-08 2016-02-09 Alivecor Electrocardiogram signal detection
EP2741222A1 (en) * 2012-12-04 2014-06-11 Polar Electro Oy Exercise-related data processing
US9474876B1 (en) * 2012-12-14 2016-10-25 DPTechnologies, Inc. Sleep aid efficacy
USD713854S1 (en) 2012-12-20 2014-09-23 Proteus Digital Health, Inc. Display screen portion having a graphical user interface for patient monitoring
USD714336S1 (en) 2012-12-20 2014-09-30 Proteus Digital Health, Inc. Display screen portion having a graphical user interface for patient monitoring
USD714334S1 (en) 2012-12-20 2014-09-30 Proteus Digital Health, Inc. Display screen portion having a graphical user interface for patient monitoring
USD714335S1 (en) 2012-12-20 2014-09-30 Proteus Digital Health, Inc. Display screen portion having a graphical user interface for patient monitoring
US20140207263A1 (en) * 2013-01-23 2014-07-24 David B. Patzwald Evaluating a fitness level
US20140221792A1 (en) * 2013-02-01 2014-08-07 Devin Warner Miller Hydration Monitoring Apparatus
US9067070B2 (en) 2013-03-12 2015-06-30 Medibotics Llc Dysgeusia-inducing neurostimulation for modifying consumption of a selected nutrient type
US9456916B2 (en) 2013-03-12 2016-10-04 Medibotics Llc Device for selectively reducing absorption of unhealthy food
US9011365B2 (en) 2013-03-12 2015-04-21 Medibotics Llc Adjustable gastrointestinal bifurcation (AGB) for reduced absorption of unhealthy food
US20140275842A1 (en) * 2013-03-13 2014-09-18 Beam Technologies, Llc Connected Surface with Sensors
US9737649B2 (en) 2013-03-14 2017-08-22 Smith & Nephew, Inc. Systems and methods for applying reduced pressure therapy
US9254092B2 (en) 2013-03-15 2016-02-09 Alivecor, Inc. Systems and methods for processing and analyzing medical data
US20140275835A1 (en) * 2013-03-15 2014-09-18 Cercacor Laboratories, Inc. Cloud-based physiological monitoring system
US9594354B1 (en) 2013-04-19 2017-03-14 Dp Technologies, Inc. Smart watch extended system
US20140340219A1 (en) * 2013-05-15 2014-11-20 Zephyr Technology Corporation Physiological monitoring and alerting
US9536449B2 (en) 2013-05-23 2017-01-03 Medibotics Llc Smart watch and food utensil for monitoring food consumption
US9529385B2 (en) 2013-05-23 2016-12-27 Medibotics Llc Smart watch and human-to-computer interface for monitoring food consumption
US9254099B2 (en) 2013-05-23 2016-02-09 Medibotics Llc Smart watch and food-imaging member for monitoring food consumption
US9247911B2 (en) 2013-07-10 2016-02-02 Alivecor, Inc. Devices and methods for real-time denoising of electrocardiograms
JP6168917B2 (en) * 2013-08-26 2017-07-26 株式会社日立システムズ Health management system and health management method
US20150112158A1 (en) 2013-10-23 2015-04-23 Quanttus, Inc. Health Metrics
US9907469B2 (en) * 2013-12-12 2018-03-06 Google Llc Combining information from multiple formats
US9442100B2 (en) 2013-12-18 2016-09-13 Medibotics Llc Caloric intake measuring system using spectroscopic and 3D imaging analysis
JP2015126869A (en) * 2013-12-30 2015-07-09 瑞軒科技股▲分▼有限公司 Sleep aid system and sleep aid method
US9582035B2 (en) 2014-02-25 2017-02-28 Medibotics Llc Wearable computing devices and methods for the wrist and/or forearm
US20150279178A1 (en) * 2014-03-31 2015-10-01 Elwha Llc Quantified-self machines and circuits reflexively related to fabricator, big-data analytics and user interfaces, and supply machines and circuits
US9922307B2 (en) 2014-03-31 2018-03-20 Elwha Llc Quantified-self machines, circuits and interfaces reflexively related to food
US20150305675A1 (en) * 2014-04-25 2015-10-29 Halo Wearables, Llc Wearable stress-testing device
CN104783804A (en) * 2014-06-03 2015-07-22 合肥星服信息科技有限责任公司 Balance sensing remote monitoring device for hypertension patient
US9694156B2 (en) 2014-06-05 2017-07-04 Eight Sleep Inc. Bed device system and methods
WO2015188156A1 (en) 2014-06-05 2015-12-10 Morphy Inc. Methods and systems for gathering human biological signals and controlling a bed device
US9151605B1 (en) 2014-06-16 2015-10-06 Iqhydr8, Llc Beverage container cap
US20160029898A1 (en) 2014-07-30 2016-02-04 Valencell, Inc. Physiological Monitoring Devices and Methods Using Optical Sensors
USD769063S1 (en) 2014-09-18 2016-10-18 Iqhydr8, Llc Beverage container cap with handle and integrated hole cover
US9808185B2 (en) * 2014-09-23 2017-11-07 Fitbit, Inc. Movement measure generation in a wearable electronic device
US9794653B2 (en) 2014-09-27 2017-10-17 Valencell, Inc. Methods and apparatus for improving signal quality in wearable biometric monitoring devices
US9950129B2 (en) 2014-10-27 2018-04-24 Covidien Lp Ventilation triggering using change-point detection
CN104506954A (en) * 2015-01-10 2015-04-08 钛脉科技(北京)有限公司 Remote medical care system with behavior monitoring function based on smart television
US9833198B2 (en) * 2015-02-04 2017-12-05 Francis J. Stapleton System and method for obtaining an objective dental health analysis
US9392946B1 (en) 2015-05-28 2016-07-19 Fitbit, Inc. Heart rate sensor with high-aspect-ratio photodetector element
EP3307166A1 (en) 2015-06-15 2018-04-18 Medibio Limited Method and system for monitoring stress conditions
US9652648B2 (en) * 2015-09-11 2017-05-16 Hand Held Products, Inc. Positioning an object with respect to a target location
DE102015226194A1 (en) 2015-12-21 2017-06-22 Robert Bosch Gmbh Mobile-function device
DE102015226196A1 (en) 2015-12-21 2017-06-22 Robert Bosch Gmbh Mobile-function device
DE102016102083A1 (en) 2016-02-05 2017-08-10 Benjamin BRUDER A method for detecting biomechanical and biometric data and apparatus therefor
DE202016100594U1 (en) 2016-02-05 2016-02-18 Benjamin BRUDER System and apparatus for detecting biomechanical and biometric data
DE102016008627A1 (en) 2016-07-15 2017-02-16 Daimler Ag A method for use planning a mobility range and for monitoring a person's state of health

Citations (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6183425B2 (en) *
US5340315A (en) * 1991-06-27 1994-08-23 Abbott Laboratories Method of treating obesity
US5387164A (en) * 1989-09-08 1995-02-07 Leap, Incorporated Activity guideance data processing method
US5673691A (en) * 1991-01-11 1997-10-07 Pics, Inc. Apparatus to control diet and weight using human behavior modification techniques
US5692501A (en) * 1993-09-20 1997-12-02 Minturn; Paul Scientific wellness personal/clinical/laboratory assessments, profile and health risk managment system with insurability rankings on cross-correlated 10-point optical health/fitness/wellness scales
US5704350A (en) * 1994-03-25 1998-01-06 Nutritec Corporation Nutritional microcomputer and method
US5890128A (en) * 1996-03-04 1999-03-30 Diaz; H. Benjamin Personalized hand held calorie computer (ECC)
US5890997A (en) * 1994-08-03 1999-04-06 Roth; Eric S. Computerized system for the design, execution, and tracking of exercise programs
US5921891A (en) * 1995-02-21 1999-07-13 Hayle Brainpower Pty. Ltd. Adaptive interactive exercise system
US5937387A (en) * 1997-04-04 1999-08-10 Real Age, Inc. System and method for developing and selecting a customized wellness plan
US5971934A (en) * 1996-10-04 1999-10-26 Trustees Of The University Of Pennsylvania Noninvasive method and apparatus for determining cardiac output
US6030342A (en) * 1996-06-12 2000-02-29 Seiko Epson Corporation Device for measuring calorie expenditure and device for measuring body temperature
US6167412A (en) * 1998-07-14 2000-12-26 Agilent Technologies, Inc. Handheld medical calculator and medical reference device
US6183425B1 (en) * 1995-10-13 2001-02-06 The United States Of America As Represented By The Administrator Of The National Aeronautics And Space Administration Method and apparatus for monitoring of daily activity in terms of ground reaction forces
US6368272B1 (en) * 1998-04-10 2002-04-09 Proactive Metabolics Company Equipment and method for contemporaneous decision supporting metabolic control
US6527674B1 (en) * 1998-09-18 2003-03-04 Conetex, Inc. Interactive programmable fitness interface system
US7246069B1 (en) * 1999-10-15 2007-07-17 Ue Systems, Inc. Method and apparatus for online health monitoring

Family Cites Families (292)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3870034A (en) 1973-03-26 1975-03-11 Cyborg Corp Personal galvanic skin response monitoring instrument
US4031365A (en) 1975-08-21 1977-06-21 Itus Patent Holding (Iph) N.V. Temperature monitoring and display system
US4052979A (en) 1975-12-04 1977-10-11 Mary Ann Scherr Jewelry and bracelet heartbeat monitor
US4151831A (en) * 1976-11-15 1979-05-01 Safetime Monitors, Inc. Fertility indicator
US4148304A (en) * 1976-11-29 1979-04-10 Bmd Development Trust Device for measuring ovulation
US4129125A (en) 1976-12-27 1978-12-12 Camin Research Corp. Patient monitoring system
US4192000A (en) * 1977-07-14 1980-03-04 Calorie Counter Limited Partnership Electronic calorie counter
US4364398A (en) * 1979-07-06 1982-12-21 Industrie Pirelli S.P.A. Individual gauge for the microclimate index
US4312358A (en) 1979-07-23 1982-01-26 Texas Instruments Incorporated Instrument for measuring and computing heart beat, body temperature and other physiological and exercise-related parameters
JPS56118630A (en) * 1980-02-23 1981-09-17 Sharp Corp Electronic clinical thermometer
USRE32758E (en) 1980-05-12 1988-10-04 New Mexico State University Foundation, Inc. Method for remotely monitoring the long term deep body temperature in female mammals
US4407295A (en) 1980-10-16 1983-10-04 Dna Medical, Inc. Miniature physiological monitor with interchangeable sensors
DE3277059D1 (en) * 1981-06-16 1987-10-01 Innova Wiener Innovation Measuring probe for monitoring a foetus during delivery
EP0077073B1 (en) * 1981-10-13 1989-08-09 Radiometer A/S Method for transcutaneous measurement of a blood parameter and an electrochemical measuring electrode device for carrying out the method
WO1983003744A1 (en) 1982-04-23 1983-11-10 Reinhold Herbert Edward Jr Ambulatory monitoring system with real time analysis and telephone transmission
US4509531A (en) * 1982-07-28 1985-04-09 Teledyne Industries, Inc. Personal physiological monitor
US4608987A (en) 1982-12-03 1986-09-02 Physioventures, Inc. Apparatus for transmitting ECG data
US4557273A (en) 1982-12-27 1985-12-10 Stoller Kenneth P Method and apparatus for detecting ovulation
US4981139A (en) * 1983-08-11 1991-01-01 Pfohl Robert L Vital signs monitoring and communication system
US4622979A (en) 1984-03-02 1986-11-18 Cardiac Monitoring, Inc. User-worn apparatus for monitoring and recording electrocardiographic data and method of operation
US5016213A (en) 1984-08-20 1991-05-14 Dilts Robert B Method and apparatus for controlling an electrical device using electrodermal response
DE3509503C2 (en) 1985-03-16 1987-02-12 Hermann-Josef Dr. 5300 Bonn De Frohn
US5040541A (en) * 1985-04-01 1991-08-20 Thermonetics Corporation Whole body calorimeter
US5012411A (en) * 1985-07-23 1991-04-30 Charles J. Policastro Apparatus for monitoring, storing and transmitting detected physiological information
US5072458A (en) 1987-05-07 1991-12-17 Capintec, Inc. Vest for use in an ambulatory physiological evaluation system including cardiac monitoring
US5007427A (en) * 1987-05-07 1991-04-16 Capintec, Inc. Ambulatory physiological evaluation system including cardiac monitoring
US5111818A (en) * 1985-10-08 1992-05-12 Capintec, Inc. Ambulatory physiological evaluation system including cardiac monitoring
US4819860A (en) * 1986-01-09 1989-04-11 Lloyd D. Lillie Wrist-mounted vital functions monitor and emergency locator
US4757453A (en) 1986-03-25 1988-07-12 Nasiff Roger E Body activity monitor using piezoelectric transducers on arms and legs
US4828257A (en) * 1986-05-20 1989-05-09 Powercise International Corporation Electronically controlled exercise system
US4672977A (en) * 1986-06-10 1987-06-16 Cherne Industries, Inc. Lung sound cancellation method and apparatus
US4803625A (en) * 1986-06-30 1989-02-07 Buddy Systems, Inc. Personal health monitor
US4827943A (en) * 1986-09-23 1989-05-09 Advanced Medical Technologies, Inc. Portable, multi-channel, physiological data monitoring system
US4784162A (en) 1986-09-23 1988-11-15 Advanced Medical Technologies Portable, multi-channel, physiological data monitoring system
GB8708038D0 (en) * 1987-04-03 1987-05-07 Simpson H W Measurement of physical parameter of body tissue
US4883063A (en) * 1987-05-29 1989-11-28 Electric Power Research Institute, Inc. Personal monitor and process for heat and work stress
GB8726933D0 (en) 1987-11-18 1987-12-23 Cadell T E Telemetry system
DE3802479C2 (en) 1988-01-28 1990-01-11 Uebe-Thermometer Gmbh, 6980 Wertheim, De
US4966154A (en) 1988-02-04 1990-10-30 Jonni Cooper Multiple parameter monitoring system for hospital patients
US5038792A (en) 1988-06-29 1991-08-13 Mault James R Oxygen consumption meter
US5179958A (en) * 1988-06-29 1993-01-19 Mault James R Respiratory calorimeter with bidirectional flow monitor
US5178155A (en) * 1988-06-29 1993-01-12 Mault James R Respiratory calorimeter with bidirectional flow monitors for calculating of oxygen consumption and carbon dioxide production
US4917108A (en) * 1988-06-29 1990-04-17 Mault James R Oxygen consumption meter
US6247647B1 (en) 1988-09-19 2001-06-19 Symbol Technologies, Inc. Scan pattern generator convertible between multiple and single line patterns
US4891756A (en) * 1988-09-26 1990-01-02 Williams Iii William B Nutritional microcomputer and method
EP0404932A4 (en) 1989-01-13 1993-01-27 The Scott Fetzer Company Apparatus and method for controlling and monitoring the exercise session for remotely located patients
US5511553A (en) * 1989-02-15 1996-04-30 Segalowitz; Jacob Device-system and method for monitoring multiple physiological parameters (MMPP) continuously and simultaneously
US5050612A (en) 1989-09-12 1991-09-24 Matsumura Kenneth N Device for computer-assisted monitoring of the body
US5027824A (en) 1989-12-01 1991-07-02 Edmond Dougherty Method and apparatus for detecting, analyzing and recording cardiac rhythm disturbances
US5929782A (en) * 1990-02-21 1999-07-27 Stark; John G. Communication system for an instrumented orthopedic restraining device and method therefor
US5052375A (en) * 1990-02-21 1991-10-01 John G. Stark Instrumented orthopedic restraining device and method of use
US5823975A (en) 1990-02-21 1998-10-20 Stark; John G. Local monitoring system for an instrumented orthopedic restraining device and method therefor
US5142485A (en) 1990-05-17 1992-08-25 The State Of Israel, Ministry Of Defence, Rafael Armament Development Authority Two axis accelerometer
US5319355A (en) 1991-03-06 1994-06-07 Russek Linda G Alarm for patient monitor and life support equipment system
US5148002A (en) 1991-03-14 1992-09-15 Kuo David D Multi-functional garment system
US5224479A (en) 1991-06-21 1993-07-06 Topy Enterprises Limited ECG diagnostic pad
US5135311A (en) * 1991-07-03 1992-08-04 University Of New Mexico Convective calorimeter apparatus and method
GB9117015D0 (en) * 1991-08-07 1991-09-18 Software Solutions Ltd Operation of computer systems
US5335664A (en) 1991-09-17 1994-08-09 Casio Computer Co., Ltd. Monitor system and biological signal transmitter therefor
US5476103A (en) * 1991-10-10 1995-12-19 Neurocom International, Inc. Apparatus and method for assessment and biofeedback training of leg coordination and strength skills
US5353793A (en) 1991-11-25 1994-10-11 Oishi-Kogyo Company Sensor apparatus
FI95535C (en) * 1991-12-09 1996-02-26 Polar Electro Oy The device for measuring heartbeat rate
JP3144030B2 (en) * 1992-02-24 2001-03-07 東陶機器株式会社 Health management network system
FI92139C (en) * 1992-02-28 1994-10-10 Matti Myllymaeki Attached to the wrist device health monitoring
US5305244B2 (en) * 1992-04-06 1997-09-23 Computer Products & Services I Hands-free user-supported portable computer
US5263491A (en) 1992-05-12 1993-11-23 William Thornton Ambulatory metabolic monitor
US5491651A (en) 1992-05-15 1996-02-13 Key, Idea Development Flexible wearable computer
US5285398A (en) * 1992-05-15 1994-02-08 Mobila Technology Inc. Flexible wearable computer
DE69314225T2 (en) 1992-05-22 1998-02-19 Giuseppe Rotolo Apparatus for positioning ECG electrodes
CA2121245A1 (en) * 1992-06-22 1994-01-06 Gary Thomas Mcilroy Health care management system
DK170548B1 (en) * 1992-11-02 1995-10-23 Verner Rasmussen Clothing for purposes of registration of electrocardiographic measurements using a monitoring device
US6168563B1 (en) * 1992-11-17 2001-01-02 Health Hero Network, Inc. Remote health monitoring and maintenance system
US5307263A (en) 1992-11-17 1994-04-26 Raya Systems, Inc. Modular microprocessor-based health monitoring system
US5899855A (en) * 1992-11-17 1999-05-04 Health Hero Network, Inc. Modular microprocessor-based health monitoring system
US5960403A (en) * 1992-11-17 1999-09-28 Health Hero Network Health management process control system
EP0602459B1 (en) 1992-12-16 1999-11-03 Siemens Medical Systems, Inc. System for monitoring patient location and data
US5888172A (en) * 1993-04-26 1999-03-30 Brunswick Corporation Physical exercise video system
DE69413585D1 (en) * 1993-03-31 1998-11-05 Siemens Medical Systems Inc Apparatus and method for providing dual output signals in a telemetry transmitter
ES2070738B1 (en) 1993-04-29 1997-06-01 Portugal Conrado Martinez System for the detection and remote warning via radio, a preset temperature in humans and warm-blooded animals.
US5524618A (en) 1993-06-02 1996-06-11 Pottgen; Paul A. Method and apparatus for measuring heat flow
DE4329898A1 (en) * 1993-09-04 1995-04-06 Marcus Dr Besson Wireless medical diagnostic and monitoring equipment
FI100941B (en) 1993-09-14 1998-03-31 Internat Business Innovations Be paid to the health of the body monitoring device
US5724025A (en) * 1993-10-21 1998-03-03 Tavori; Itzchak Portable vital signs monitor
US5523742A (en) * 1993-11-18 1996-06-04 The United States Of America As Represented By The Secretary Of The Army Motion sensor
US5555490A (en) 1993-12-13 1996-09-10 Key Idea Development, L.L.C. Wearable personal computer system
US5660176A (en) * 1993-12-29 1997-08-26 First Opinion Corporation Computerized medical diagnostic and treatment advice system
US5435315A (en) 1994-01-28 1995-07-25 Mcphee; Ron J. Physical fitness evalution system
FI96066C (en) 1994-03-24 1996-04-25 Polar Electro Oy A method and apparatus for determining the internal temperature and the internal structure of the lämmönjohtavuuskertoimen
US5515865A (en) * 1994-04-22 1996-05-14 The United States Of America As Represented By The Secretary Of The Army Sudden Infant Death Syndrome (SIDS) monitor and stimulator
EP0760138A4 (en) 1994-04-26 1998-04-01 Raya Systems Inc Modular microprocessor-based diagnostic measurement system for psychological conditions
DE4415896A1 (en) * 1994-05-05 1995-11-09 Boehringer Mannheim Gmbh Analysis system for monitoring the concentration of an analyte in the blood of a patient
US5652570A (en) 1994-05-19 1997-07-29 Lepkofker; Robert Individual location system
US5913310A (en) 1994-05-23 1999-06-22 Health Hero Network, Inc. Method for diagnosis and treatment of psychological and emotional disorders using a microprocessor-based video game
US5729203A (en) * 1994-06-28 1998-03-17 Colin Corporation Emergency call system
US5686516A (en) 1994-07-24 1997-11-11 S.L.P. Scientific Laboratory Products, Ltd. Compositions for disposable bio-medical electrodes
JP3516357B2 (en) * 1994-08-10 2004-04-05 株式会社タニタ Consumption calorimeter
US5908027A (en) * 1994-08-22 1999-06-01 Alaris Medical Systems, Inc. Tonometry system for monitoring blood pressure
US5566679A (en) 1994-08-31 1996-10-22 Omniglow Corporation Methods for managing the Reproductive status of an animal using color heat mount detectors
JPH0880287A (en) * 1994-09-13 1996-03-26 Seiko Epson Corp Portable small size electronic instrument
US5687734A (en) 1994-10-20 1997-11-18 Hewlett-Packard Company Flexible patient monitoring system featuring a multiport transmitter
US5827180A (en) 1994-11-07 1998-10-27 Lifemasters Supported Selfcare Method and apparatus for a personal health network
US5919141A (en) 1994-11-15 1999-07-06 Life Sensing Instrument Company, Inc. Vital sign remote monitoring device
US6266623B1 (en) 1994-11-21 2001-07-24 Phatrat Technology, Inc. Sport monitoring apparatus for determining loft time, speed, power absorbed and other factors such as height
US5636146A (en) 1994-11-21 1997-06-03 Phatrat Technology, Inc. Apparatus and methods for determining loft time and speed
US6539336B1 (en) 1996-12-12 2003-03-25 Phatrat Technologies, Inc. Sport monitoring system for determining airtime, speed, power absorbed and other factors such as drop distance
US5559497A (en) 1994-11-28 1996-09-24 Hong; Chia-Ping Body temperature sensing and alarming device
US5697791A (en) * 1994-11-29 1997-12-16 Nashner; Lewis M. Apparatus and method for assessment and biofeedback training of body coordination skills critical and ball-strike power and accuracy during athletic activitites
US5673692A (en) 1995-02-03 1997-10-07 Biosignals Ltd. Co. Single site, multi-variable patient monitor
US5778882A (en) 1995-02-24 1998-07-14 Brigham And Women's Hospital Health monitoring system
US5959611A (en) * 1995-03-06 1999-09-28 Carnegie Mellon University Portable computer system with ergonomic input device
US5617477A (en) * 1995-03-08 1997-04-01 Interval Research Corporation Personal wearable communication system with enhanced low frequency response
US5645068A (en) 1995-03-20 1997-07-08 Bioscan, Inc. Methods and apparatus for ambulatory and non-ambulatory monitoring of physiological data using digital flash storage
WO1996032055A1 (en) 1995-04-11 1996-10-17 Resmed Limited Monitoring the occurrence of apneic and hypopneic arousals
US5832296A (en) 1995-04-26 1998-11-03 Interval Research Corp. Wearable context sensitive user interface for interacting with plurality of electronic devices of interest to the user
US5730140A (en) * 1995-04-28 1998-03-24 Fitch; William Tecumseh S. Sonification system using synthesized realistic body sounds modified by other medically-important variables for physiological monitoring
US5581238A (en) 1995-05-12 1996-12-03 Chang; Mei-Hui Pacifier with fever heat alarm device
US6392962B1 (en) * 1995-05-18 2002-05-21 Rmp, Inc. Method of sleep time measurement
US5666096A (en) * 1995-06-02 1997-09-09 Van Zeeland; Anthony J. Switch with magnetically-coupled armature
US5523730C1 (en) 1995-06-02 2002-01-15 Van Anthony J Zeeland Switch with mangnetically-coupled armature
US5990772A (en) 1995-06-02 1999-11-23 Duraswitch Industries, Inc. Pushbutton switch with magnetically coupled armature
JPH0956705A (en) 1995-06-15 1997-03-04 Matsushita Electric Works Ltd Consumption calorimeter
US5752976A (en) 1995-06-23 1998-05-19 Medtronic, Inc. World wide patient location and data telemetry system for implantable medical devices
US5663703A (en) * 1995-07-12 1997-09-02 Sony Corporation Silent wrist pager with tactile alarm
US6001065A (en) 1995-08-02 1999-12-14 Ibva Technologies, Inc. Method and apparatus for measuring and analyzing physiological signals for active or passive control of physical and virtual spaces and the contents therein
US5942986A (en) 1995-08-09 1999-08-24 Cedars-Sinai Medical Center System and method for automatic critical event notification
DE69634242D1 (en) * 1995-12-18 2005-03-03 Seiko Epson Corp Device for determine the state of health and support of exercises
JPH09114955A (en) 1995-10-18 1997-05-02 Seiko Epson Corp Pitch meter
US5738104A (en) * 1995-11-08 1998-04-14 Salutron, Inc. EKG based heart rate monitor
US5803915A (en) * 1995-12-07 1998-09-08 Ohmeda Inc. System for detection of probe dislodgement
US5836300A (en) * 1996-03-11 1998-11-17 Mault; James R. Metabolic gas exchange and noninvasive cardiac output monitor
US6135107A (en) * 1996-03-11 2000-10-24 Mault; James R. Metabolic gas exchange and noninvasive cardiac output monitor
US6208900B1 (en) * 1996-03-28 2001-03-27 Medtronic, Inc. Method and apparatus for rate-responsive cardiac pacing using header mounted pressure wave transducer
US5853005A (en) 1996-05-02 1998-12-29 The United States Of America As Represented By The Secretary Of The Army Acoustic monitoring system
JPH09303842A (en) * 1996-05-15 1997-11-28 Toshiba Corp Air conditioner
US5879163A (en) * 1996-06-24 1999-03-09 Health Hero Network, Inc. On-line health education and feedback system using motivational driver profile coding and automated content fulfillment
WO1998000204A1 (en) * 1996-07-02 1998-01-08 Cycle-Ops Products, Inc. Electronic exercise system
US6265978B1 (en) * 1996-07-14 2001-07-24 Atlas Researches, Ltd. Method and apparatus for monitoring states of consciousness, drowsiness, distress, and performance
US5917415A (en) * 1996-07-14 1999-06-29 Atlas; Dan Personal monitoring and alerting device for drowsiness
US5741217A (en) * 1996-07-30 1998-04-21 Gero; Jeffrey Biofeedback apparatus
US5719743A (en) * 1996-08-15 1998-02-17 Xybernaut Corporation Torso worn computer which can stand alone
US5884198A (en) * 1996-08-16 1999-03-16 Ericsson, Inc. Body conformal portable radio and method of constructing the same
US5832448A (en) 1996-10-16 1998-11-03 Health Hero Network Multiple patient monitoring system for proactive health management
US6364834B1 (en) * 1996-11-13 2002-04-02 Criticare Systems, Inc. Method and system for remotely monitoring multiple medical parameters in an integrated medical monitoring system
US5855550A (en) * 1996-11-13 1999-01-05 Lai; Joseph Method and system for remotely monitoring multiple medical parameters
US5771001A (en) 1996-11-18 1998-06-23 Cobb; Marlon J. Personal alarm system
US5726631A (en) * 1996-11-26 1998-03-10 Lin; Wen-Juei Structure kick-activated wearable alarm for infants
US6198394B1 (en) * 1996-12-05 2001-03-06 Stephen C. Jacobsen System for remote monitoring of personnel
US6059692A (en) * 1996-12-13 2000-05-09 Hickman; Paul L. Apparatus for remote interactive exercise and health equipment
US6050950A (en) * 1996-12-18 2000-04-18 Aurora Holdings, Llc Passive/non-invasive systemic and pulmonary blood pressure measurement
US6298218B1 (en) 1996-12-18 2001-10-02 Clubcom, Inc. Combined advertising and entertainment system network
US5933136A (en) 1996-12-23 1999-08-03 Health Hero Network, Inc. Network media access control system for encouraging patient compliance with a treatment plan
US6151586A (en) 1996-12-23 2000-11-21 Health Hero Network, Inc. Computerized reward system for encouraging participation in a health management program
US5956501A (en) 1997-01-10 1999-09-21 Health Hero Network, Inc. Disease simulation system and method
US6032119A (en) * 1997-01-16 2000-02-29 Health Hero Network, Inc. Personalized display of health information
US5868671A (en) * 1997-01-28 1999-02-09 Hewlett-Packard Company Multiple ECG electrode strip
GB9702340D0 (en) 1997-02-05 1997-03-26 Gakken Hong Kong Co Ltd Combined baby monitor and radio
US6102856A (en) 1997-02-12 2000-08-15 Groff; Clarence P Wearable vital sign monitoring system
US5865733A (en) * 1997-02-28 1999-02-02 Spacelabs Medical, Inc. Wireless optical patient monitoring apparatus
US6148233A (en) * 1997-03-07 2000-11-14 Cardiac Science, Inc. Defibrillation system having segmented electrodes
US5959529A (en) * 1997-03-07 1999-09-28 Kail, Iv; Karl A. Reprogrammable remote sensor monitoring system
US5951300A (en) 1997-03-10 1999-09-14 Health Hero Network Online system and method for providing composite entertainment and health information
JP4555919B2 (en) * 1997-03-17 2010-10-06 ノンインベイシブ モニタリング システムズ インコーポレイテッド Feedback system of physiological sign
US6270455B1 (en) 1997-03-28 2001-08-07 Health Hero Network, Inc. Networked system for interactive communications and remote monitoring of drug delivery
US6248065B1 (en) 1997-04-30 2001-06-19 Health Hero Network, Inc. Monitoring system for remotely querying individuals
US6968375B1 (en) * 1997-03-28 2005-11-22 Health Hero Network, Inc. Networked system for interactive communication and remote monitoring of individuals
US6101478A (en) 1997-04-30 2000-08-08 Health Hero Network Multi-user remote health monitoring system
US5897493A (en) * 1997-03-28 1999-04-27 Health Hero Network, Inc. Monitoring system for remotely querying individuals
US5902250A (en) * 1997-03-31 1999-05-11 President And Fellows Of Harvard College Home-based system and method for monitoring sleep state and assessing cardiorespiratory risk
WO1998050873A1 (en) 1997-05-02 1998-11-12 Cyberhealth, Inc. Cyber medicine disease management
JPH10305016A (en) * 1997-05-08 1998-11-17 Casio Comput Co Ltd Behavior information providing system
JPH10305072A (en) * 1997-05-09 1998-11-17 Yoshihiro Toyama Bath timer with calory consumption computing function
EP0880936A3 (en) * 1997-05-29 1999-03-24 Koji Akai Monitoring physical condition of a patient by telemetry
US6251048B1 (en) * 1997-06-05 2001-06-26 Epm Develoment Systems Corporation Electronic exercise monitor
US5857939A (en) * 1997-06-05 1999-01-12 Talking Counter, Inc. Exercise device with audible electronic monitor
JPH114820A (en) 1997-06-18 1999-01-12 Ee D K:Kk Health caring device
US6056435A (en) 1997-06-24 2000-05-02 Exergen Corporation Ambient and perfusion normalized temperature detector
US5857967A (en) * 1997-07-09 1999-01-12 Hewlett-Packard Company Universally accessible healthcare devices with on the fly generation of HTML files
US5976083A (en) * 1997-07-30 1999-11-02 Living Systems, Inc. Portable aerobic fitness monitor for walking and running
US5813766A (en) 1997-08-12 1998-09-29 Chen; Mei-Yen Finger temperature indicating ring
US6138079A (en) 1997-08-18 2000-10-24 Putnam; John M. Device for calculating fluid loss from a body during exercise
US5931791A (en) * 1997-11-05 1999-08-03 Instromedix, Inc. Medical patient vital signs-monitoring apparatus
DE69930720D1 (en) * 1998-01-08 2006-05-18 S L P Ltd Integrated arrangement for the display of apnea during schlafes
US6225980B1 (en) * 1998-02-06 2001-05-01 Carnegie Mellon University Multi-functional, rotary dial input device for portable computers
US6101407A (en) 1998-02-13 2000-08-08 Eastman Kodak Company Method and system for remotely viewing and configuring output from a medical imaging device
WO1999044167A1 (en) * 1998-02-27 1999-09-02 Rx Communications, Inc. Pharmacy drug management system providing patient specific drug dosing, drug interaction analysis, order generation, and patient data matching
US7222054B2 (en) 1998-03-03 2007-05-22 Card Guard Scientific Survival Ltd. Personal ambulatory wireless health monitor
KR100626758B1 (en) * 1998-03-03 2006-09-22 카드 가드 사이언티픽 서바이벌 리미티드 Personal ambulatory cellular health monitor for mobile patient
US6013007A (en) * 1998-03-26 2000-01-11 Liquid Spark, Llc Athlete's GPS-based performance monitor
US6579231B1 (en) 1998-03-27 2003-06-17 Mci Communications Corporation Personal medical monitoring unit and system
US6341229B1 (en) * 1998-06-14 2002-01-22 Tapuz Medical Technology Ltd. Wearable apron for use in egg and other medical tests
US7854684B1 (en) * 1998-06-24 2010-12-21 Samsung Electronics Co., Ltd. Wearable device
US6190314B1 (en) 1998-07-15 2001-02-20 International Business Machines Corporation Computer input device with biosensors for sensing user emotions
DE19832361A1 (en) 1998-07-20 2000-02-03 Noehte Steffen Body function monitor measures bodily conditions, determines environmental stresses, pauses and computes probabilities, before pronouncing on criticality with high confidence level
US6154668A (en) 1998-08-06 2000-11-28 Medtronics Inc. Ambulatory recorder having a real time and non-real time processors
US6420959B1 (en) 1998-09-18 2002-07-16 Timex Group B.V. Multi-level user interface for a multimode device
WO2000017615A3 (en) 1998-09-23 2000-07-13 Keith Bridger Physiological sensing device
US6306088B1 (en) 1998-10-03 2001-10-23 Individual Monitoring Systems, Inc. Ambulatory distributed recorders system for diagnosing medical disorders
US5912865A (en) 1998-10-19 1999-06-15 U.S.A. Technologies Inc. Watch case with positioning means
WO2000026882A3 (en) * 1998-10-30 2000-09-28 Strategic Product Dev Monitoring physical and environmental conditions of a person
US6377162B1 (en) * 1998-11-25 2002-04-23 Ge Medical Systems Global Technology Company, Llc Medical diagnostic field service method and apparatus
US6466232B1 (en) * 1998-12-18 2002-10-15 Tangis Corporation Method and system for controlling presentation of information to a user based on the user's condition
US6842877B2 (en) * 1998-12-18 2005-01-11 Tangis Corporation Contextual responses based on automated learning techniques
US6307384B2 (en) 1999-01-07 2001-10-23 Honeywell International Inc. Micropower capacitance-based proximity sensor
WO2000047108A1 (en) 1999-02-08 2000-08-17 Medoc Ltd. Ambulatory monitor
JP4046883B2 (en) 1999-02-09 2008-02-13 株式会社タニタ Body fat meter and health management system
US6597944B1 (en) 1999-03-03 2003-07-22 S.L.P. Ltd. Nocturnal muscle activity monitoring system
US6366871B1 (en) * 1999-03-03 2002-04-02 Card Guard Scientific Survival Ltd. Personal ambulatory cellular health monitor for mobile patient
WO2000052604A8 (en) * 1999-03-05 2001-05-17 Stayhealty Com System and method for on-line health monitoring and education
US6302844B1 (en) * 1999-03-31 2001-10-16 Walker Digital, Llc Patient care delivery system
US6285897B1 (en) 1999-04-07 2001-09-04 Endonetics, Inc. Remote physiological monitoring system
US6336900B1 (en) * 1999-04-12 2002-01-08 Agilent Technologies, Inc. Home hub for reporting patient health parameters
US6494829B1 (en) 1999-04-15 2002-12-17 Nexan Limited Physiological sensor array
US6385473B1 (en) * 1999-04-15 2002-05-07 Nexan Limited Physiological sensor device
US6450953B1 (en) 1999-04-15 2002-09-17 Nexan Limited Portable signal transfer unit
US6454708B1 (en) 1999-04-15 2002-09-24 Nexan Limited Portable remote patient telemonitoring system using a memory card or smart card
US6416471B1 (en) 1999-04-15 2002-07-09 Nexan Limited Portable remote patient telemonitoring system
US6290646B1 (en) 1999-04-16 2001-09-18 Cardiocom Apparatus and method for monitoring and communicating wellness parameters of ambulatory patients
US6755783B2 (en) * 1999-04-16 2004-06-29 Cardiocom Apparatus and method for two-way communication in a device for monitoring and communicating wellness parameters of ambulatory patients
US6069552A (en) * 1999-06-02 2000-05-30 Duraswitch Industries, Inc. Directionally sensitive switch
US6371123B1 (en) * 1999-06-11 2002-04-16 Izex Technology, Inc. System for orthopedic treatment protocol and method of use thereof
EP1185845A1 (en) * 1999-06-23 2002-03-13 Eliahu Rubenstein Fever alarm system
DE19929328A1 (en) * 1999-06-26 2001-01-04 Daimlerchrysler Aerospace Ag A device for long-term medical monitoring of persons
US6287252B1 (en) * 1999-06-30 2001-09-11 Monitrak Patient monitor
US6312363B1 (en) 1999-07-08 2001-11-06 Icon Health & Fitness, Inc. Systems and methods for providing an improved exercise device with motivational programming
DE60034459D1 (en) 1999-07-21 2007-05-31 Daniel David Physiological measuring system with garment in the form of a sleeve or of a glove and integrated therein meter
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
US6629934B2 (en) 2000-02-02 2003-10-07 Healthetech, Inc. Indirect calorimeter for medical applications
WO2001008554A1 (en) 1999-08-02 2001-02-08 Healthetech, Inc. Metabolic calorimeter employing respiratory gas analysis
US6513532B2 (en) * 2000-01-19 2003-02-04 Healthetech, Inc. Diet and activity-monitoring device
US6468222B1 (en) * 1999-08-02 2002-10-22 Healthetech, Inc. Metabolic calorimeter employing respiratory gas analysis
US6147618A (en) * 1999-09-15 2000-11-14 Ilife Systems, Inc. Apparatus and method for reducing power consumption in physiological condition monitors
US6339720B1 (en) * 1999-09-20 2002-01-15 Fernando Anzellini Early warning apparatus for acute Myocardial Infarction in the first six hours of pain
US6790178B1 (en) * 1999-09-24 2004-09-14 Healthetech, Inc. Physiological monitor and associated computation, display and communication unit
EP1220637A2 (en) * 1999-10-08 2002-07-10 Healthetech, Inc. Monitoring caloric expenditure rate and caloric diet
WO2001028495A3 (en) 1999-10-08 2002-07-11 Healthetech Inc Indirect calorimeter for weight control
US6612306B1 (en) 1999-10-13 2003-09-02 Healthetech, Inc. Respiratory nitric oxide meter
US6527711B1 (en) * 1999-10-18 2003-03-04 Bodymedia, Inc. Wearable human physiological data sensors and reporting system therefor
FI114282B (en) * 1999-11-05 2004-09-30 Polar Electro Oy The method and arrangement of the heart rate monitor for heartbeat detection
EP1234265A1 (en) 1999-11-24 2002-08-28 Healthetech, Inc. Health management system with connection to remote computer system
JP3356745B2 (en) * 1999-12-07 2002-12-16 ヤーマン株式会社 Calorie Calculator
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
US7454002B1 (en) 2000-01-03 2008-11-18 Sportbrain, Inc. Integrating personal data capturing functionality into a portable computing device and a wireless communication device
US6611783B2 (en) * 2000-01-07 2003-08-26 Nocwatch, Inc. Attitude indicator and activity monitoring device
US6558320B1 (en) * 2000-01-20 2003-05-06 Medtronic Minimed, Inc. Handheld personal data assistant (PDA) with a medical device and method of using the same
US6551251B2 (en) * 2000-02-14 2003-04-22 The United States Of America As Represented By The Administrator Of The National Aeronautics And Space Administration Passive fetal heart monitoring system
JP3846844B2 (en) 2000-03-14 2006-11-15 株式会社東芝 Wearable life support apparatus
US6305071B1 (en) 2000-03-30 2001-10-23 Duraswitch Industries, Inc. Method for converting a flat panel switch
US6610012B2 (en) * 2000-04-10 2003-08-26 Healthetech, Inc. System and method for remote pregnancy monitoring
WO2001078577A3 (en) * 2000-04-17 2003-01-09 Vivometrics Inc Systems and methods for ambulatory monitoring of physiological signs
US6616613B1 (en) 2000-04-27 2003-09-09 Vitalsines International, Inc. Physiological signal monitoring system
CA2406841A1 (en) 2000-04-28 2001-11-08 Healthetech, Inc. Method and apparatus for diet control
JP2003531663A (en) 2000-05-04 2003-10-28 ヘルセテック インコーポレイテッド Interactive physiological monitoring system
US6482158B2 (en) * 2000-05-19 2002-11-19 Healthetech, Inc. System and method of ultrasonic mammography
US6712615B2 (en) * 2000-05-22 2004-03-30 Rolf John Martin High-precision cognitive performance test battery suitable for internet and non-internet use
US20030226695A1 (en) 2000-05-25 2003-12-11 Mault James R. Weight control method using physical activity based parameters
WO2001089368A3 (en) 2000-05-25 2002-03-07 Healthetech Inc Physiological monitoring using wrist-mounted device
US6389308B1 (en) 2000-05-30 2002-05-14 Vladimir Shusterman System and device for multi-scale analysis and representation of electrocardiographic data
US7485095B2 (en) 2000-05-30 2009-02-03 Vladimir Shusterman Measurement and analysis of trends in physiological and/or health data
JP2001344352A (en) 2000-05-31 2001-12-14 Toshiba Corp Life assisting device, life assisting method and advertisement information providing method
US20060122474A1 (en) 2000-06-16 2006-06-08 Bodymedia, Inc. Apparatus for monitoring health, wellness and fitness
US7689437B1 (en) * 2000-06-16 2010-03-30 Bodymedia, Inc. System for monitoring health, wellness and fitness
US6605038B1 (en) 2000-06-16 2003-08-12 Bodymedia, Inc. System for monitoring health, wellness and fitness
US7261690B2 (en) * 2000-06-16 2007-08-28 Bodymedia, Inc. Apparatus for monitoring health, wellness and fitness
US20030208113A1 (en) * 2001-07-18 2003-11-06 Mault James R Closed loop glycemic index system
US6690959B2 (en) * 2000-09-01 2004-02-10 Medtronic, Inc. Skin-mounted electrodes with nano spikes
US6665559B2 (en) * 2000-10-06 2003-12-16 Ge Medical Systems Information Technologies, Inc. Method and apparatus for perioperative assessment of cardiovascular risk
US20020133378A1 (en) * 2000-10-13 2002-09-19 Mault James R. System and method of integrated calorie management
WO2002093272A8 (en) 2000-12-15 2003-01-16 Burl W Amsbury Movement and event systems and associated methods related applications
US7171331B2 (en) * 2001-12-17 2007-01-30 Phatrat Technology, Llc Shoes employing monitoring devices, and associated methods
US6392515B1 (en) 2000-12-27 2002-05-21 Duraswitch Industries, Inc. Magnetic switch with multi-wide actuator
US6532381B2 (en) * 2001-01-11 2003-03-11 Ge Medical Systems Information Technologies, Inc. Patient monitor for determining a probability that a patient has acute cardiac ischemia
JP2002224065A (en) * 2001-02-07 2002-08-13 Nippon Colin Co Ltd Cardiac sound detecting device and cardiac sound detecting method
US6584344B2 (en) * 2001-02-22 2003-06-24 Polar Electro Oy Method and apparatus for measuring heart rate
WO2002069798A1 (en) 2001-02-28 2002-09-12 University Of Technology, Sydney A non-invasive method and apparatus for determining onset of physiological conditions
US6595929B2 (en) * 2001-03-30 2003-07-22 Bodymedia, Inc. System for monitoring health, wellness and fitness having a method and apparatus for improved measurement of heat flow
US6808473B2 (en) * 2001-04-19 2004-10-26 Omron Corporation Exercise promotion device, and exercise promotion method employing the same
US6533731B2 (en) * 2001-05-15 2003-03-18 Lifecheck, Llc Method and apparatus for measuring heat flow
US6656125B2 (en) * 2001-06-01 2003-12-02 Dale Julian Misczynski System and process for analyzing a medical condition of a user
WO2003013335A9 (en) 2001-08-03 2004-04-22 Vega Res Lab Llc Method and apparatus for determining metabolic factors from an electrocardiogram
EP1454960B1 (en) * 2001-08-07 2012-10-24 Pacific Engineering Corporation Polyamide resin composition for fuse element and fuse element
US20030069510A1 (en) * 2001-10-04 2003-04-10 Semler Herbert J. Disposable vital signs monitor
US6755795B2 (en) * 2001-10-26 2004-06-29 Koninklijke Philips Electronics N.V. Selectively applied wearable medical sensors
US20030083559A1 (en) * 2001-10-31 2003-05-01 Thompson David L. Non-contact monitor
US6955542B2 (en) 2002-01-23 2005-10-18 Aquatech Fitness Corp. System for monitoring repetitive movement
US20030176797A1 (en) 2002-03-12 2003-09-18 Fernando Anzellini Thrombust; implantable delivery system sensible to self diagnosis of acute myocardial infarction for thrombolysis in the first minutes of chest pain
US20050226310A1 (en) 2002-03-20 2005-10-13 Sanyo Electric Co., Ltd. Adhesive clinical thermometer pad and temperature measuring pad
US7020508B2 (en) 2002-08-22 2006-03-28 Bodymedia, Inc. Apparatus for detecting human physiological and contextual information
JP4813058B2 (en) 2002-10-09 2011-11-09 ボディーメディア インコーポレイテッド Detecting human physiological and contextual information, receiving, deriving and apparatus for displaying
JP4341243B2 (en) 2002-12-27 2009-10-07 カシオ計算機株式会社 Scales tape printer and use it
US7460899B2 (en) * 2003-04-23 2008-12-02 Quiescent, Inc. Apparatus and method for monitoring heart rate variability
CA2539547A1 (en) * 2003-08-20 2005-03-03 Philometron, Inc. Hydration monitoring
WO2005046433A3 (en) 2003-11-04 2009-06-04 Gen Hospital Corp Life sign detection and health state assessment system

Patent Citations (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6183425B2 (en) *
US5387164A (en) * 1989-09-08 1995-02-07 Leap, Incorporated Activity guideance data processing method
US5673691A (en) * 1991-01-11 1997-10-07 Pics, Inc. Apparatus to control diet and weight using human behavior modification techniques
US5340315A (en) * 1991-06-27 1994-08-23 Abbott Laboratories Method of treating obesity
US5692501A (en) * 1993-09-20 1997-12-02 Minturn; Paul Scientific wellness personal/clinical/laboratory assessments, profile and health risk managment system with insurability rankings on cross-correlated 10-point optical health/fitness/wellness scales
US5704350A (en) * 1994-03-25 1998-01-06 Nutritec Corporation Nutritional microcomputer and method
US5890997A (en) * 1994-08-03 1999-04-06 Roth; Eric S. Computerized system for the design, execution, and tracking of exercise programs
US5921891A (en) * 1995-02-21 1999-07-13 Hayle Brainpower Pty. Ltd. Adaptive interactive exercise system
US6183425B1 (en) * 1995-10-13 2001-02-06 The United States Of America As Represented By The Administrator Of The National Aeronautics And Space Administration Method and apparatus for monitoring of daily activity in terms of ground reaction forces
US5890128A (en) * 1996-03-04 1999-03-30 Diaz; H. Benjamin Personalized hand held calorie computer (ECC)
US6030342A (en) * 1996-06-12 2000-02-29 Seiko Epson Corporation Device for measuring calorie expenditure and device for measuring body temperature
US5971934A (en) * 1996-10-04 1999-10-26 Trustees Of The University Of Pennsylvania Noninvasive method and apparatus for determining cardiac output
US5937387A (en) * 1997-04-04 1999-08-10 Real Age, Inc. System and method for developing and selecting a customized wellness plan
US6368272B1 (en) * 1998-04-10 2002-04-09 Proactive Metabolics Company Equipment and method for contemporaneous decision supporting metabolic control
US6167412A (en) * 1998-07-14 2000-12-26 Agilent Technologies, Inc. Handheld medical calculator and medical reference device
US6527674B1 (en) * 1998-09-18 2003-03-04 Conetex, Inc. Interactive programmable fitness interface system
US7246069B1 (en) * 1999-10-15 2007-07-17 Ue Systems, Inc. Method and apparatus for online health monitoring

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