WO2006111878A1 - Systeme de surveillance d'un patient - Google Patents

Systeme de surveillance d'un patient Download PDF

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Publication number
WO2006111878A1
WO2006111878A1 PCT/IB2006/051044 IB2006051044W WO2006111878A1 WO 2006111878 A1 WO2006111878 A1 WO 2006111878A1 IB 2006051044 W IB2006051044 W IB 2006051044W WO 2006111878 A1 WO2006111878 A1 WO 2006111878A1
Authority
WO
WIPO (PCT)
Prior art keywords
patient
station
data
measuring
sensors
Prior art date
Application number
PCT/IB2006/051044
Other languages
English (en)
Inventor
Andreas Brauers
Harald Reiter
Jens Muehlsteff
Olaf Such
Original Assignee
Philips Intellectual Property & Standards Gmbh
Koninklijke Philips Electronics N. V.
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Philips Intellectual Property & Standards Gmbh, Koninklijke Philips Electronics N. V. filed Critical Philips Intellectual Property & Standards Gmbh
Priority to JP2008507212A priority Critical patent/JP2008536607A/ja
Priority to EP06727839A priority patent/EP1887922A1/fr
Publication of WO2006111878A1 publication Critical patent/WO2006111878A1/fr

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Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6802—Sensor mounted on worn items
    • A61B5/6804—Garments; Clothes
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A61B5/0015—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system
    • A61B5/002—Monitoring the patient using a local or closed circuit, e.g. in a room or building
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A61B5/0015—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system
    • A61B5/0022—Monitoring a patient using a global network, e.g. telephone networks, internet
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6887—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient mounted on external non-worn devices, e.g. non-medical devices
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • G16H40/67—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation

Definitions

  • the present invention relates to a patient monitoring system, a method of monitoring a patient, and a computer program.
  • Cardiac diseases e.g. chronic heart failure
  • Cardiac diseases usually have a severe impact on the daily life of the patients, even after they have been discharged from hospital.
  • the patients receive a medication that significantly influences their wellbeing, both in protecting them from the next severe event and in maintaining the physical fitness to a maximum possible level.
  • a key factor in this respect is the control of fluid retention in the patient's body, which is done by applying diuretics.
  • Other medication e.g. ACE inhibitors, beta blockers, digoxin, anticoagulants, Certainly may be applied for the treatment of underlying or accompanying cardiovascular diseases like atrial fibrillation or high blood pressure.
  • US 2004/0111045 Al shows a device and method for patient monitoring of parameters such as body motion, body position, respiratory rate, and/or heart rate, using a sensor device having at least two piezoelectric sensors provided on a surface, such as a bed, so that a patient may be coupled to the device by simply allowing the patient to lie on the surface. It is also known to measure cardiac data or pulmonary data at home.
  • a patient monitoring system comprising a patient station, the patient station being linked to a number of sensors for measuring patient data, the number of sensors being integrated into a patient carrier and/or a patient's dress, the patient station being adapted for analyzing the measured patient data, and the patient station being adapted for providing feedback information to the patient by means of a knowledge-based system, which feedback information is based on the measured patient data.
  • the object of the present invention is also achieved by a method of monitoring a patient, comprising the steps of measuring patient data by means of a number of sensors linked to a patient station, said sensors being integrated into a patient carrier and/or a patient's dress, analyzing the measured patient data by means of the patient station, and providing feedback information to the patient by means of the patient station using a knowledge-based system, which feedback information is based on the measured patient data.
  • the object of the present invention is also achieved by a computer program comprising computer instructions for analyzing patient data measured by means of a number of sensors linked to a patient station, the number of sensors being integrated into a patient carrier and/or a patient's dress, and further comprising computer instructions for providing feedback information from the patient station to the patient using a knowledge -based system, which feedback information is based on the measured patient data, when the computer program is executed on a computer.
  • a computer program may be stored on a carrier such as a CD-ROM or it may be made available over the Internet or some other computer network. Prior to being executed, the computer program is loaded into the computer, i.e.
  • the computer includes inter alia a central processing unit (CPU), a bus system, memory means, e. g. RAM or ROM, storage means, e. g. floppy disk or hard disk units, and input/output units.
  • CPU central processing unit
  • bus system memory means, e. g. RAM or ROM
  • storage means e. g. floppy disk or hard disk units
  • input/output units input/output units.
  • a basic idea of the present invention is, besides monitoring of the patient (e.g. the cardiopulmonary performance of the patient), also to manage the patient's disease (e.g. the cardiac disease) by providing feedback information to the patient by means of a knowledge-based system, which feedback information is based on the measured patient data.
  • the present invention proposes a patient monitoring system which is adapted for working as a CHF management system, in particular for home use.
  • the information to be provided to the patient is generated by a knowledge-based system.
  • the term "knowledge-based system” describes a software program for querying a special knowledge base (database). Another term to describe such a software program is "expert system”.
  • An expert system is an artificial intelligence application that uses a knowledge base of human expertise as an aid in solving problems. The degree of problem solving is based on the quality of the data and rules obtained from the human expert.
  • the expert system derives its answers by running the knowledge base through an inference engine, a software program that interacts with the user and processes the results from the rules and data in the knowledge base. For example, an optimum medication is calaculated by a knowledge based system in which best medical practices, state of research, and regulations are reflected.
  • the knowledge-based system is preferably implemented as a computer program executed on a computer within the patient station. Alternatively, the knowledge-based system is implemented as a remote system to which the patient station connects autonomously.
  • a sensor for measuring the patient's weight and/or a sensor for measuring the patient' s heart rate and/or a sensor for measuring the patient' s pulmonary activity and/or a sensor for measuring the patient's bio-impedance and/or a sensor for measuring the patient's heart stroke volume and/or a sensor for measuring the patient's ECG signals and/or a sensor for measuring the patient's position and/or a sensor for measuring the patient's fluid retention e.g. a sensor for measuring the patient's weight and/or a sensor for measuring the patient' s heart rate and/or a sensor for measuring the patient' s pulmonary activity and/or a sensor for measuring the patient's bio-impedance and/or a sensor for measuring the patient's heart stroke volume and/or a sensor for measuring the patient's ECG signals and/or a sensor for measuring the patient's position and/or a sensor for measuring the patient's fluid retention.
  • the type of sensor can be chosen in dependence on the desired information about the patient
  • the sensors are integrated into the patient's dress and/or a carrier.
  • a carrier according to the present invention is defined as a surface or any other device for the patient to rest on or to sit on, etc., e.g. a conventional bed, a hospital bed, a couch, a conventional chair, a dentist's chair, a wheelchair, an (operating) table, etc.
  • the measured patient data is preferably transferred from the sensors to the patient station via a wireless link, enabling a free arrangement of the number of sensors at the bedside without cables.
  • the patient device is adapted for giving feedback information, which information preferably comprises a change in medication and/or advice to seek contact with a medical professional or recommendations on physical activity or diet.
  • the patient station allows the patient to interact with the system and/or to control the system where appropriate, e.g. by giving an input according to a personal health management plan (like diet or activity).
  • the patient station is preferably adapted for receiving direct patient input, e.g. by using a voice entry system or a manual input system such as pressing buttons, using a keyboard, etc. If such an interaction is not desired, patient station and bed are designed to work autonomously, without any external trigger or patient interaction.
  • Interaction with the monitoring system may also be implemented with e.g. an activity monitor, for example a patient-worn device, such as a belt or some other mobile device, which generates input signals for the monitoring system.
  • the patient station is adapted for controlling the measuring process, e.g. for controlling the type and frequency of measurements.
  • the patient station is adapted for evaluating the measured patient data with appropriate algorithms.
  • the patient station is connectable to an external device and/or an external network, e.g. to provide a more convenient maintenance, data storage, and features like online visits and more.
  • the patient data are transferred routinely to a server, and the hospital and/or a GP are supplied with the necessary data upon demand or in any emergency situation. Any change in medication or other feedback given to the patient may also be included in an online consultation with a GP or some other kind of suitable medical service, as required, e.g. by legal restrictions.
  • the knowledge based system may also be provided externally.
  • the patient monitoring system 100 comprises a patient station 10 linked to a front end 11.
  • the front end 11 comprises a number of sensors 12 for measuring patient data. These desired parameters are sensed by a combination of different sensors integrated into the bed and/or the patient's (night) clothes.
  • multiple kinds of sensors 12 are used, e.g. a sensor for measuring the patient's weight (e. g. a piezoelectric or strain gauge sensor) and/or a sensor for measuring the patient's heart rate (e.g. a suitable piezoelectric, bio-impedance, or inductive sensor) and/or a sensor for measuring the patient's pulmonary activity and/or a sensor for measuring the patient's bio-impedance (e.g.
  • All sensors 12 can be integrated into the mattress or bed sheet or the bedstead or attached to the bed.
  • Textile sensors are preferably used for integration into the mattress or bed sheets.
  • a washable textile or foam mat carrier is used for the sensors, having typical dimensions of 800x2000 mm.
  • leads, electronics and cables are provided. Textile sensors suitable for 24/7 usage are preferred.
  • Soft sensors and/or hard sensors may be used for carrying out the measurements.
  • Typical hard sensors are strain gauge pucks used for bed post weight measurements. Such sensors are capable of carrying out weight measurements from typically 50 g to 500 kg with a resolution of 20 g and a reproducibility of less than 0.2 %.
  • Other hard sensors are non-textile coils, e.g. integrated into the bed, for inductive measurements.
  • Various kinds of soft sensors are used, e.g. soft sensors for inductive measurements and piezoelectric sensors.
  • Textile inductors (coils) in a carrier, such as a sleeping gown, are used as sensors for inductive measurements.
  • the inductor serves as a transmitter and receiver.
  • a typical resonant frequency is around 10 MHz.
  • Electrode structures are used for capacitive sensing, e.g. for a capacitive read-out of electrical signals, as well as for the sensing of body position and movement, e.g. respiration.
  • Conducting, dry textile areas are use as sensors for bio-impedance measurements.
  • An array of different electrodes is preferably used to obtain different measurement positions. Measurements at varying positions of the body are carried out with electrodes in a sheet-like carrier providing direct skin-contact. At least four electrodes are needed for such a measurement.
  • Other conducting, dry textile areas are used as ECG electrodes.
  • an array of different electrodes is used to obtain different measurement positions. Measurements at varying positions of the body are carried out with electrodes in a sheet-like carrier providing direct skin-contact.
  • An example of such an ECG electrode arrangement may be a pillow as one electrode and a foot area as another electrode.
  • a first example of a sensor layout includes soft sensors for bio- impedance measurements and multiple soft ECG electrodes integrated into the bed sheet for carrying out measurements of the thorax.
  • the same arrangement may be used for bio-impedance and ECG measurements in the region of the patient's legs, possibly using smaller contacts. Ideal would be a matrix of (small) contacts, such that optimum contacts can be selected "dynamically". It is also possible to have one large ECG contact in the lower leg area.
  • a second example of a sensor layout again includes soft sensors for bio- impedance measurement and multiple soft ECG electrodes integrated into the bed sheet for carrying out measurements of the thorax. Additionally, the patient wears pajamas comprising through contacts integrated into shirt and trousers.
  • a third example of a sensor layout includes a hard non-contact sensor integrated into the mattress for carrying out an inductive measurement.
  • a fourth example of a sensor layout includes sensors for carrying out a capacitive measurement with or without counter-electrodes.
  • the sensors may be realized as soft sensors in the form of textile structures (e.g. bed sheet) or as hard sensors integrated into the mattress, bedstead or an intermediate device, such as an sleeping pad.
  • soft sensors and hard sensors may be combined in any configuration in order to obtain a sensor arrangement which best fits the measuring situation.
  • the measured patient data is transferred in a first step from the sensors
  • the acquisition unit 13 is part of the front end 11.
  • the front end 11 comprises a computer 14 adapted for executing a front end software.
  • the front end software controls the front end 11 in a way that enables different main conditions (states). In a “sleep" state the front end 11 is shut down for zero power consumption. In a “standby” state the front end 11 is ready to receive and send patient data or other signals, e.g. internal control or status signals, to the patient station 10. In a "ready for measurement” state the front end 11 is ready for measurement and in a “measurement” state the front end 11 is measuring sensed data. In a "send data” state the front end 11 sends data to the patient station 10, where it is stored.
  • a "bad signal detection” algorithm is implemented in the front end software for testing the measured signal quality. Given data, it assigns a "good'V'bad” label to the data. If the data is classified as “bad”, it must be discarded, and a fresh measurement must be taken.
  • Data transfer from the sensors 12 to the acquisition unit 14 and from the front end 11 to the patient station 10 is carried out over a wireless data communication link 15 using the Bluetooth technique and the TCP/IP data transfer protocol.
  • the link 15 allows bi-directional communication within a range of up to 10 m.
  • both the front end 11 and the patient station 10 comprise a communication interface 16 adapted to carry out the data transfer as described.
  • the data communication links may be (partly) implemented as wires, e.g. with USB connections.
  • the patient and/or GP and/or hospital is notified (e.g. via a window on a monitor of the patient station 10 and/or the server).
  • the operator of the patient station 10 may be the patient himself or a carer, e.g. spouse or nurse. This person will be called patient in the following for simplicity's sake.
  • the patient station 10 is the interface between the patient and the patient monitoring system 100. It can also be used when the patient interacts with medical professionals.
  • the initial measuring procedure is as follows: If no patient is in the bed, the "sleep" state is activated. The measurement procedure starts when a patient enters the bed. First the patient' s weight is measured. The measured data is compared with former weight measurements by the patient station 10 (e.g.
  • the feedback comprises instructions for the patient for optimizing the patient's position before sleep.
  • relevant parameter are measured and transferred to the patient station 10.
  • the patient station 10 is adapted to record the relevant data automatically.
  • the patient station 10 detects a person entering the bed (trigger condition), stores the data, and allows the patient to view data.
  • the patient will also be allowed to administer relevant parameters (e.g. nutrition intake).
  • the patient station 10 controls the complete measurement procedure.
  • the patient station controls automated alarm procedures to alert the patient, GP, or hospital.
  • a data transfer to the GP or hospital and to a server station will automatically run on the patient station 10, if so desired.
  • the patient station 10 is adapted to give medication recommendations directly to the patient and to report these, as well as an acknowledgement thereof from the patient, to the server and the GP.
  • the system comprising the patient station / front end electronics / bed sensors works autonomously with no interaction from patient, GP, or hospital required (indicated by a dashed line).
  • the patient station 10 comprises a computer 17 and a suitable computer program adapted to be executed on the computer 17.
  • the patient station 10 which may be a PC type device, laptop, PDA, TV set (including a set top box), or the like, includes a data storage module 18 adapted for storing received measuring data. Furthermore, the patient station 10 comprises appropriate electronics (amplifier, filter, multiplexer, etc.). The patient station 10 further comprises an analyzing module for analyzing the measured patient data.
  • the computer 17 is adapted to work as an analyzing module in the present embodiment. The computer 17 is adapted to execute a suitable computer program for analyzing patient data. Analysis of the measured patient data and/or control of the measuring procedure and/or generation of medication recommendations or other recommendations for the patient is carried out by the patient station 10, which uses a knowledge -based system 19 for this.
  • the knowledge -based system 19 uses a knowledge base (not shown), in which normal ranges are set for all relevant parameters, either in a general way or individually for each patient as provided by the GP or hospital (e.g. resting pulse rate between 70 and 90 bpm). Standard values as defined by the European Cardiac Society may be used for this purpose. If the monitoring system 100 determines a value outside the normal range, a feedback is provided to the patient, and/or the GP or hospital will be informed. The content of the feedback, e.g. regarding medication, is provided by the knowledge- based system 19.
  • the patient station 10 is adapted for giving feedback information to the patient, the feedback information being based on the measured patient data. Furthermore, the patient station 10 allows the patient to interact with the system 100 and/or to control the system 100 where appropriate.
  • a patient user interface 20 is provided for this purpose.
  • the patient user interface 20 comprises a touch screen and/or a PDA and/or a laptop and/or a personal computer and/or a TV set.
  • the patient user interface is adapted to give feedback to the patient, e.g. by means of a speaker, a monitor, etc.
  • the patient station 10 is adapted so as to provide the following kinds of user messages: hints on an optimum measurement position, medication recommendations, medication reminders, advice to contact the GP, alarm signals, guidance through calibrating procedures, asking for user/GP input.
  • the patient station 10 is adapted to accept the following (partly optional) user inputs (apart from the standard measurement routine): input during calibration, changes in medication (with confirmation), input arising from questionnaires filled in at regular intervals (self-assessment), input from GP/hospital.
  • the patient station 10 is connectable to an external network comprising a server 21, a GP/hospital station 22, and a service station 23 (technical or maintenance station). Data transfer from the patient station 10 to the server 21 and the GP/hospital station 22 is carried out via a communication link 24 using a GSM system (cellular phone).
  • the external devices 21, 22, 23 are connected to each other by means of a (computer) network using an Ethernet communication link 25, i.e. the data transfer between the external devices is based on the TCP/IP data transfer protocol.
  • the patient station 10, the server 21, and the GP/hospital station 22 each comprise a GSM communication interface 26 for this purpose. Furthermore, the server 21, GP/hospital station 22, and service station 23 each comprise an Ethernet communication interface 27.
  • the communication between patient station 10 and server 21 involves different protocols: "regular data transfer", “maintenance data transfer” and "alarm”.
  • regular data transfer which is carried out daily, measurement data are transferred to the server 21 for storage in a server database 28 and backup.
  • the data can be accessed from the GP/hospital station 22 and from the patient station 10 when triggered manually for diagnosis and/or evaluation and/or feedback.
  • maintenance data transfer which is preferably triggered by a technician, changes in the measuring procedures or alarm trigger values are applied, mainly in case of software updates.
  • alarm which is triggered automatically by the patient station software if one ore more of the measured patient data exceeds a predefined limit value, measurement data is transferred to the server together with a reason for the alarm.
  • An alarm confirmation by GP and/or hospital is also stored on the server 21. Errors are handled as described above.
  • the communication between patient station 10 and GP/hospital station 22 involves different protocols: "consultation", "information", and "alarm".
  • consultation protocol which is triggered by GP and/or patient
  • information protocol which is triggered automatically
  • information on recommended changes in medication is given to the GP.
  • a confirmation can be given by the GP before information is transferred to patient.
  • the GP/hospital station 22 comprises a user interface 29.
  • alarm protocol which is triggered automatically, measurement data and the reason for the alarm are transferred to the server 21 and the GP station 22.
  • a confirmation by GP and/or hospital is also stored on the server 21. Errors are again handled as described above.
  • the server 21 provides a web-based interface to access, show, and edit the patient data via the GP/hospital station 22 and to show data on the patient station 10.
  • An additional service station 23 enables system maintenance and data download, but does not allow changing of patient- related data.
  • the server 21 provides the following functions: data management, data filing, control data access, binary data storage, and backup.
  • the server 21 provides a patient management system by providing a patient database 28 and a web interface or client server application for GP access to the patient database 28. In addition, changes in patient data are logged.
  • the server 21 also provides an automatic call handling, i.e. handles parallel incoming calls and enables an automatic data exchange with the patient station 10.
  • the patient data and measurement data are stored in a database 28. Access to the database 28 is made available to the patient stations 10 and GP/hospital stations 22.
  • the database 28 and the database software are so adapted that it is guaranteed that only one GP can process a particular patient at a given time, thus avoiding multiple diagnoses and extra work for the doctors. It also guarantees that all access to patient data can be logged, and that data or analyses cannot be accidentally deleted.
  • the data on the server 21, and especially the patient data in database 28, are protected against data losses. Daily backups and physically redundant data storage are mandatory. Furthermore, the database 28 is maintained on parallel RAID systems, thus minimizing the risk of data losses and downtime owing to hard disk drive failure. A backup of the database 28 is made every night at a fixed time. The data is stored on the patient station 10 for at least 24 hours, allowing possible reloading of lost data. A firewall is installed for protecting the database 28 against hacker attacks, i.e. access is allowed only through ports necessary for the patient station and GP station communication. Moreover, connections are allowed only to devices that have telephone numbers present in a list of allowed telephone numbers (i.e. the telephone numbers of the patient stations and the GP stations).
  • Error alarms are provided for handling errors that occur during the operation of the patient monitoring system 100.
  • the appropriate people are informed when problems arise, e.g. by SMS, e-mail, or telephone call.
  • problems arise, e.g. by SMS, e-mail, or telephone call.
  • the person responsible must be notified by telephone in the case of severe problems.
  • Possible trigger conditions for generating an error alarm are: patient station has not measured data (this has been determined if patient station has contacted server to pass on this information), patient station 10 has measured data but data transfer unsuccessful, patient station 10 has tried to measure data and was unsuccessful, no contact possible to patient station 10 (this has been determined by passing through the database and checking records from all patients), failure of server hardware, database backup not possible, server 21 has crashed, or hard disk failure.
  • the GP/hospital station 22 provides the following functions: the GP station allows access to the patient data stored on the server 21 for evaluation. Patient data can be entered/changed only via the GP station 22. In the case of alerts or alarms, GP and patient are triggered to connect to the server 21.
  • the GP/hospital station 22 comprises a GP user interface 29, e.g. a PC or laptop. If a new patient is to be added, a new data base entry can be generated through the GP user interface 29.
  • the following data can be checked on the GP/hospital station 22: notification of alerts and alarms, notification of changes in medication status, show medication status, view/edit patient data, confirm/reject automatic diagnoses.
  • the service station 23 is used for database management and for software and procedure management.
  • the service station 23 provides the following functions: database administration tasks, patient database check (e.g. generation of statistics), server functionality check; distribution of software (to GP/server/patient station).
  • patient database check e.g. generation of statistics
  • server functionality check e.g. generation of statistics
  • distribution of software to GP/server/patient station.
  • the technician user interface 30, e.g. in form of a PC or laptop, the following actions can be carried out: read access to all anonymous entries in the database (i.e. no access to personal data), software management, and database management.
  • All computers may be implemented as PC type computers. However, they are preferably implemented as small microprocessors or microcontrollers or the like set in an appropriate working environment in order to fit into small patient-related or bed-related devices.

Abstract

L'invention porte sur un système et une méthode de surveillance de patients, et sur un programme informatique. Pour améliorer la surveillance et en particulier pour suivre ses performances cardio-pulmonaires le système d'examen suggéré comporte un poste patient (10) relié à plusieurs capteurs (12) de données du patient intégrés à son chariot et/ou à son vêtement, ledit poste (10) analysant les données saisies et retransmettant les résultats au patient à l'aide d'un système (19) à base de connaissance. Un tel système d'examen (100) peut s'utiliser comme système de cardiosurveillance notamment à domicile.
PCT/IB2006/051044 2005-04-20 2006-04-05 Systeme de surveillance d'un patient WO2006111878A1 (fr)

Priority Applications (2)

Application Number Priority Date Filing Date Title
JP2008507212A JP2008536607A (ja) 2005-04-20 2006-04-05 うっ血性心不全管理システム
EP06727839A EP1887922A1 (fr) 2005-04-20 2006-04-05 Systeme de surveillance d'un patient

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
EP05103174.8 2005-04-20
EP05103174 2005-04-20

Publications (1)

Publication Number Publication Date
WO2006111878A1 true WO2006111878A1 (fr) 2006-10-26

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PCT/IB2006/051044 WO2006111878A1 (fr) 2005-04-20 2006-04-05 Systeme de surveillance d'un patient

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EP (1) EP1887922A1 (fr)
JP (1) JP2008536607A (fr)
CN (1) CN101163439A (fr)
RU (1) RU2007142662A (fr)
WO (1) WO2006111878A1 (fr)

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WO2012010588A1 (fr) * 2010-07-19 2012-01-26 Fresenius Medical Care Deutschland Gmbh Dispositif de support de patient, appareil de traitement comprenant un dispositif de support de patient et procédé correspondant pour commander et/ou régler un dispositif de traitement médical
US8116841B2 (en) 2007-09-14 2012-02-14 Corventis, Inc. Adherent device with multiple physiological sensors
US8249686B2 (en) 2007-09-14 2012-08-21 Corventis, Inc. Adherent device for sleep disordered breathing
US8412317B2 (en) 2008-04-18 2013-04-02 Corventis, Inc. Method and apparatus to measure bioelectric impedance of patient tissue
WO2013063215A1 (fr) 2011-10-25 2013-05-02 Vital Connect, Inc. Système et procédé pour la surveillance sanitaire fiable et évolutive
US8460189B2 (en) 2007-09-14 2013-06-11 Corventis, Inc. Adherent cardiac monitor with advanced sensing capabilities
US8684925B2 (en) 2007-09-14 2014-04-01 Corventis, Inc. Injectable device for physiological monitoring
US8718752B2 (en) 2008-03-12 2014-05-06 Corventis, Inc. Heart failure decompensation prediction based on cardiac rhythm
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