EP0849716A2 - Procédé et dispositif pour surveiller des personnes à risque avec alarme automatique - Google Patents

Procédé et dispositif pour surveiller des personnes à risque avec alarme automatique Download PDF

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Publication number
EP0849716A2
EP0849716A2 EP97811003A EP97811003A EP0849716A2 EP 0849716 A2 EP0849716 A2 EP 0849716A2 EP 97811003 A EP97811003 A EP 97811003A EP 97811003 A EP97811003 A EP 97811003A EP 0849716 A2 EP0849716 A2 EP 0849716A2
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EP
European Patent Office
Prior art keywords
data
signals
monitored
person
alarm
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
EP97811003A
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German (de)
English (en)
Other versions
EP0849716A3 (fr
Inventor
Walter Guttropf
Werner Luethi
Charles Huber
Jürgen Guntermann
Reto Klein
Marco Meiler
Hansjörg Laederach
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Hohere Technische Lehranstalt Brugg-Windisch
Original Assignee
Hohere Technische Lehranstalt Brugg-Windisch
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Application filed by Hohere Technische Lehranstalt Brugg-Windisch filed Critical Hohere Technische Lehranstalt Brugg-Windisch
Publication of EP0849716A2 publication Critical patent/EP0849716A2/fr
Publication of EP0849716A3 publication Critical patent/EP0849716A3/fr
Withdrawn legal-status Critical Current

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    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02—Alarms for ensuring the safety of persons
    • G08B21/0202—Child monitoring systems using a transmitter-receiver system carried by the parent and the child
    • G08B21/0205—Specific application combined with child monitoring using a transmitter-receiver system
    • G08B21/0211—Combination with medical sensor, e.g. for measuring heart rate, temperature

Definitions

  • the invention relates to methods and devices for detection and processing of vital parameters, body movements and body position of monitored, endangered persons in emergency and Risk situations, in the event of accidents and the like, as well for automatic alarming.
  • Telephone emergency call systems [TeleAlarm from Telectronic, Carouge (CH)] with the following mode of operation are known: Endangered persons carry a small device with an alarm button and a built-in radio transmitter on them. The associated receiver is located in a nearby, specially equipped telephone device. After the alarm has been triggered manually, help is automatically requested via the telephone network. A crucial disadvantage of these systems is that the alarm must be triggered by the accident or endangered person. Affected persons are often unable to do so due to injuries, fainting, panic or mental confusion. Monitoring by recording and evaluating vital parameters and body movements, as well as a location system for quickly finding the person are not available.
  • PS-WO 93/16638 describes a method and a device in which a monitoring device worn on the wrist contains sensors for detecting physical parameters such as activity and temperature and / or electrical conductivity of a person's skin. An alarm is triggered either automatically upon detection of abnormal parameter states or by pressing a button and sent to one or more receivers via radio transmitters, which set a local alarm or forward the data via existing systems to a central alarm point.
  • a disadvantage of this system is that the sensors described above and their arrangement cannot be used to make a reliable statement regarding the condition of a person being monitored and whether he is in an emergency situation and help must be requested.
  • the activity sensor on the wrist for example, no statement can be made regarding the total body movements and position, such as when the person being monitored falls.
  • the ability to monitor breathing, heart activity and blood pressure with the sensors used is also not available.
  • there is no facility for locating the monitored person which means that it is not possible to find the monitored person quickly in an emergency situation.
  • PS-WO 94/10902 describes a method and a device which monitors physiological parameters such as breathing and / or cardiac activity by means of ECG information. When irregularities are detected, an alarm is transmitted via radio to a local help center and can be forwarded from there, for example, to a pager.
  • a disadvantage of this system is that its use is only intended for hospitals and homes and requires an appropriate infrastructure with a central office. Furthermore, only physiological parameters such as breathing and heart activity and not body movements and posture are monitored, which means that the fall, one of the most common emergency situations and accident events, is not recognized. A manual alarm trigger is also not possible. In addition, there is no facility for locating the monitored person, which means that it is not possible to find the monitored person quickly in an emergency situation.
  • PS-DE-A1-3830655 describes a method and a device for a personal protection device with automatic and manual emergency alarm.
  • a series of sensors permanently installed in the living room which are suitable for detecting movements in the room, switching on the lighting, loading furniture and certain noises, signal the utterance of life, the lack of which during the day and night triggers the emergency call.
  • the disadvantage of this system is that all sensors are permanently installed in the room to be monitored and connected to a central unit via cable. This requires a complex installation and only one room can be monitored. It is not possible to assess the condition of the monitored person based on the signals from a motion detector. Monitoring and recording of vital parameters is not available. In addition, the monitored person has to give signs of life over and over again in certain periods of time. Furthermore, the possibility of triggering an alarm by means of noise or knocking is very susceptible to errors.
  • the object of the present invention is methods and devices indicate with which various vital parameters and the Location recorded centrally and decentrally with sensors and one Alarm information can be processed. This includes information about Movement, fall and location and will trigger an automatic alarm fed.
  • FIG. 1 shows a schematic representation of a method for a portable personal surveillance system, vital signs and Body movements recorded by persons to be monitored, evaluated, records and in emergency and risk situations and at Accident events automatically trigger an alarm.
  • a central unit (1) which the person to be monitored carries, includes means for detection (3), means for signal processing (4), means for communication (2) and an input / output unit (8th).
  • First electrical signals (115) lead from the detection means (3) to the signal processing means (4).
  • Second electrical signals (114) connect the means for signal processing (4) with the means for communication (2).
  • Data (116) connect the means for signal processing (4) the input / output unit (8).
  • the input / output unit (8) is bidirectional with the external components (9) via data (118) connected.
  • the input / output unit (8) is with the external Sensors (3.1) connected via third signals (117).
  • the means for detection (3) are sensors, such as Acceleration sensors and the like, which body movements and vital parameters can capture.
  • Sensors such as Acceleration sensors and the like, which body movements and vital parameters can capture.
  • there is only one Sensor e.g. an acceleration sensor in front; in general but it is a variety of different sensors.
  • sensors (3) are in the central unit (1) , these are referred to as so-called 'central recording'; if the means of detection (3) are external sensors (3.1), these are referred to as 'decentralized registration' designated. Both in the central and in the decentralized The sensors on the person to be monitored are recorded appropriate.
  • sensors (3) are part of the Central unit (1), with this e.g. attached to a shoulder strap, or the external sensors (3.1) e.g. on the wrist with attached to a bracelet or implanted.
  • the measured variables are converted into the first electrical signals (115) in the sensors (3) and are available as outputs of the sensors (3).
  • the measured variables are converted to the third signals (117) and are available as outputs of the sensors (3.1).
  • the signals (115) and (117) are supplied via a wire connection.
  • the signals (117) are only supplied in exceptional cases via a wire connection; generally it is wireless, for which the external sensors (3.1) are equipped with a radio interface and are referred to as 'intelligent sensors'.
  • This wireless connection leads to the output unit (8), which in turn is also equipped with a radio interface via which the sensor signals for signal processing (4) are carried as data (116).
  • the means for signal processing (4) are bidirectionally connected to the means for communication (2) via the second electrical signals (114).
  • Control signals in particular alarm signals, are fed to the signal processing via the means for communication (2); on the other hand, status signals which have been processed in the signal processing are optically made known to the means for communication (2), for example a display, of the monitored person. This can also be done acoustically. This results in a dialogue system with a possibility of dialogue between the person to be monitored and an expert system, which will be described later.
  • the supplied signals 115 and 117 worked up with various methods, which will be described in detail later.
  • Outputs of the signal processing (4) are the data (116) be guided bidirectionally to the input / output unit (8). Essentially, the data (118) is in the input / output unit (8) performed on different interfaces.
  • the data (118) become ready for further use: be it via interfaces to be available to the external components (9). On the one hand, this enables data access via an external Computer, otherwise the transmission of data (118), or Parts of it, to an alarm unit and / or to a local one Location system, as will be described in more detail later.
  • the monitored person can also be active in decision making be included. If the assessment of the recorded sizes suggests an emergency situation, this but actually not, the monitored person can clear the alarm status for a predetermined time to prevent a false alarm. Found during this predetermined No acknowledgment on the part of the monitored person instead, an alarm of an alarm unit is triggered via an interface forwarded, resp. fed into a public network or transmitted to a central office.
  • the monitored one Person also through their own work through the means of communication (2) trigger the alarm. With the alarm, the triggering cause and optionally the location of the monitored Person submitted. This has the advantage of providing help accordingly the cause can occur and the monitored person immediately Is found.
  • the central unit (1), the means for detection (3), the means for communication (2), the input / output unit (8) and the external sensors (3.1) correspond to FIG. 1.
  • the means for signal processing (4) are divided here into a signal conditioning (4.10), a processor (4.20) with an expert system (4.21) and a signal evaluation (4.22) and an information memory (4.30).
  • the input / output unit (8) is divided into a radio interface (8.1) and a serial interface (8.2).
  • the external components here are a local positioning system (9.1), an alarm unit (9.2) and a computer (9.3).
  • First electrical signals (115) lead from the means for detection (3) to signal conditioning (4.10), the output signal (105) of which is fed to the signal evaluation (4.22).
  • Second electrical signals (114) connect the expert system (4.21) with the means for communication (2).
  • the external sensors (3.1) are connected to the radio interface (8.1) via third signals (117), which are transmitted wirelessly.
  • the data (116) of FIG. 1 are here divided into three different data lines; connect it: The radio interface (8.1) via data line (107) the signal evaluation (4.22), the radio interface (8.1) via data line (103) the expert system (4.21) and the serial interface (8.2) via data line (113) the expert system (4.21).
  • the data (118) of FIG. 1 are here divided into three different data lines; connect it: The radio interface (8.1) via data line (111) the local location system (9.1) and the alarm unit (9.2) and the serial interface (8.2) via data line (112) the external computer (9.3).
  • Fourth electrical signals (102) from the external location system (4.40) and data (108) from the signal evaluation (4.22) are also fed to the expert system (4.21).
  • the information store (4.30) connects the expert system (4.21) via data (109).
  • the signals from the internal sensors (3) are processed via signal conditioning (4.10) so that they can be processed in the processor (4.20).
  • the signals from the external sensors (3.1) are already processed decentrally and transmitted via radio to the radio interface (8.1) of the central unit (1), and there directly to the processor (4.20) or via the data line (107) of the signal evaluation (4.22) fed.
  • the sensor data (115, 105; 117, 107) are processed using various methods such as statistics, threshold value detectors, digital filtering, fast Fourier transformation and correlation functions.
  • the data (108) processed in this way are fed to an expert system (4.21) based on fuzzy logic, which assesses the condition of the person being monitored using links between the data from different sensors (3, 3.1).
  • the evaluation algorithms include the subsequent measurement values in the evaluation in order to be able to better assess the event. If, for example, a fall of the monitored person is determined, the expert system waits for the coming measured values and determines whether the monitored person gets up again or not. In addition, the monitored person can be actively involved in the decision-making function by querying the monitored person about their condition in unclear situations. Not only current sensor data but also previous sensor data (previous history) are included in the assessment in order to determine trends that could endanger the monitored person. If trends are identified that could endanger the person being monitored, such as rapid breathing and a lack of physical activity, early warnings are given to the person to be monitored so that they can take appropriate countermeasures.
  • a further assessment of the sensor data is made by comparing the current patterns that result from the recorded sensor data and with different patterns that are already stored in the information memory (4.30) and are typical for certain situations. such as for the fall behavior.
  • the method has adaptive properties in that the expert system (4.21) is equipped with a neural network that learns from the behavior of the person being monitored and adapts the expert system accordingly or optimizes it itself. With a computer (9.3) and appropriate software, the expert knowledge can also be adapted from outside via a serial interface (8.2) to the person being monitored. In order to improve the assessment of the condition of the monitored person, their whereabouts can also be consulted. For example, different assessment criteria apply to the bedroom than to the basement.
  • a system (9.1) which is available on the market and with which communication can take place via a radio interface (8.1), is used for local location of the monitored person in buildings and their immediate surroundings.
  • a positioning system (4.40) based on the 'Global Positioning System' or the like is used for global positioning outside of buildings.
  • the data continuously stored in the information memory (4.30) can be read via a serial interface (8.2) with a computer (9.3) and appropriate software and used for diagnosis, therapy, training and prevention.
  • Fig. 3 shows a schematic representation of a first embodiment to the procedure described.
  • the central unit points a separation into a registration unit (1.1) and an evaluation unit (1.2).
  • the means of communication (2), the means for detection (3), the external sensors (3.1) with third electrical signals (117), signal processing (4) and external components (9) correspond to those described in FIG. 1.
  • the means of communication (2) are here via second ones electrical signals (120) with an interface (8.3) bidirectional connected.
  • the external components (9) are about data (123) bidirectionally connected to an interface (8.4), which in turn uses signal processing (4) via data (122) connected is.
  • the measurement variables are recorded via the sensors (3) with the first electrical signals (115) in the same way as in the previously described method.
  • the sensors or external sensors (3.1) for detecting body movements, body position, breathing, cardiac activity and blood pressure and the like are provided as means for recording measured variables (3).
  • Some of the sensors (3) are located in the central unit (1), which the monitored person carries on them, such as sensors for detecting body movements and body position, and / or are partially attached to the body of the monitored person, such as sensors to record breathing, heart activity and blood pressure.
  • a wireless connection for the continuous transmission of the measurement data (117) to the central unit (1), or the acquisition unit (1.1), is provided for the measurement quantities detected by the external sensors (3.1).
  • the data (115, 117) are not evaluated in the registration unit (1.1) which the monitored person carries on them, but via an intelligent interface (8.3) via an integrated radio transmitter from the registration unit (1.1) to an evaluation unit (1.2) with a radio receiver located in an intelligent interface (8.4), transmitted as data (121).
  • the evaluation unit (1.2) is located in the vicinity, for example in the living areas in old people's homes, and can be connected to the mains for power supply.
  • the means for signal processing, which are provided for processing the data (122), are arranged in the evaluation unit (1.2).
  • the means for communication (2) are designed as operating and display elements. Means for triggering the alarm are available for operating the device, which can be intervened by the monitored person's own active action, such as resetting the alarm status.
  • the various device stages can be displayed optically and / or acoustically. This results in the device being able to communicate.
  • the intelligent interface (8.3) has the task of processing the sensor signals so that they can be transmitted to the intelligent interface (8.4) by radio using the asynchronous start / stop bit method with an error detection code.
  • the data (121) are transmitted with frequency modulation, since the susceptibility to interference is smaller than with amplitude modulation.
  • the evaluation unit (1.2) the data (121) is decoded again in the intelligent interface (8.4), checked for errors, and the data is requested again if the transmission is faulty. If no error-free transmission is possible, the monitored person will be informed. If there is no perfect transmission within a certain time, an alarm is automatically triggered. If the transmission is error-free, the data (122) are fed to the signal processing (4) for evaluation, where they are evaluated as in the previously described method.
  • Fig. 4 shows a schematic representation of a second Embodiment as a fall detector with localization.
  • a multiplex method is used to operate the acceleration sensors provided to reduce electricity consumption.
  • For the Power supply is a common battery powered unit provided, which is not described in detail.
  • the sensor signals (115) are led to signal conditioning (4.10) where they are amplified, filtered and converted into digital signals (105) for the subsequent processing in the processor (4.20) or in the signal evaluation (4.22) contained therein can be converted.
  • the acceleration sensors (3) also detect static accelerations, such as gravitational acceleration, making it possible to use the g-vector to make a reliable statement about the body position of the person being monitored.
  • the signals (105) are preprocessed in the signal evaluation (4.22) in two different ways. Low-pass filters separate the signals from parts of high frequencies, so that only the quasi-static parts are allowed to pass through and statements about the body position can be made. Bandpasses suppress the constant component of the signals in order to make statements about the dynamics of the signal and thus about body movements.
  • These data are then processed in the signal evaluation (4.22) using various methods such as statistics and digital filtering and compared in an expert system (4.21) based on fuzzy logic with typical movement patterns that occur in the event of a fall.
  • the expert system checks whether the situation has changed at this moment, whether the monitored person then behaves motionless, a new change in the body position occurs and where the monitored person is located. If all signs indicate a fall, the device is automatically set to the alarm status. The monitored person can then delete the alarm status by his own action for a predetermined time if this has been set in error. Otherwise an alarm with the location of the person being monitored is fed into a public network via the radio interface (8.1) via alarm unit (9.2) or forwarded to a house control center. Of course, the monitored person can also trigger an alarm himself at any time through his own actions.
  • the data line (111) carries the alarm information, which is present as an alarm profile, ie not only the alarm yes / no information is available, but a qualified validation of the alarm status.
  • the alarm status contains a diagnostic part that can be used to determine the cause of the alarm and to take appropriate measures.
  • the alarm status can also include the location.
  • an interface (8.1) to an existing location system (9.1) is installed.
  • the measurement data are stored in an information memory (4.30) as a 'memory with memory' so that they can later be used with a computer (9.3) and appropriate software via a serial interface (8.2) for further use such as research into causes and prevention.
  • the present invention proves to be particularly advantageous in that the person to be monitored permanently carries the device on him, vital parameters are permanently recorded without the device restricting the person being monitored in any way or having a stigmatizing effect and, as a result, no complex, expensive and fixed, on-site installations being necessary are, that the alarm is triggered automatically when an emergency situation is detected by the expert system, such as in the event of a fall, and an alarm status is checked for plausibility in various ways before it is forwarded in order to avoid false alarms, that the location of the monitored person can also be taken into account when evaluating the sensor signals and, in the event of an alarm, the location of the monitored person with the cause of the alarm is transmitted to the alerting point so that the monitored person can be found as quickly as possible and efficient help can be provided, and that the device for the respective application, such as for diabetic people, can be configured in a modular manner in the means for recording the measured variables; the hardware part remains essentially the same, while the software (expert knowledge) can be easily adapted.
  • the location of the person being monitored is also taken into account for the evaluation, that different sensor signals are linked for decision making, that for the decision-making process, a combination of various vital parameters detected by sensors, such as breathing and / or cardiac activity with body activity and location, takes place in a fuzzy expert system, that the signal evaluation takes place with the inclusion of intelligent algorithms, which allow reliable decision-making, especially in the event of falls, when using precise sensors, that the decision is made by comparing the current patterns recorded by the sensors with stored experience patterns (movement and energy patterns) that are typical of certain dangerous situations, that the monitored person's expert knowledge can be adapted externally via a computer or with an internal, self-learning neural network, and that trends that can lead to a hazard are recognized and the monitored person is warned.
  • intelligent algorithms which allow reliable decision-making, especially in the event of falls, when using precise sensors, that the decision is made by comparing the current patterns recorded by the sensors with stored experience patterns (movement and energy patterns) that are typical of certain dangerous situations, that the monitored person's expert knowledge can be adapted

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  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Child & Adolescent Psychology (AREA)
  • Cardiology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Business, Economics & Management (AREA)
  • Emergency Management (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Alarm Systems (AREA)
  • Emergency Alarm Devices (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)
EP97811003A 1996-12-20 1997-12-19 Procédé et dispositif pour surveiller des personnes à risque avec alarme automatique Withdrawn EP0849716A3 (fr)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
CH3156/96 1996-12-20
CH315696 1996-12-20
CH315696 1996-12-20

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EP0849716A2 true EP0849716A2 (fr) 1998-06-24
EP0849716A3 EP0849716A3 (fr) 1999-08-04

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CH697402B1 (de) * 2005-06-01 2008-09-30 Lifejob Ag Vorrichtung und Verfahren zur Erfassung und Verarbeitung von lebensbedrohenden Gesundheits-Gefahren bei älteren und behinderten Personen.
DE102010033985A1 (de) * 2010-08-06 2012-02-09 Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. Verfahren zur unaufdringlichen Überwachung einer Person und System zur Durchführung des Verfahrens
DE102015226194A1 (de) * 2015-12-21 2017-06-22 Robert Bosch Gmbh Mobile Funktionsvorrichtung

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4665385A (en) * 1985-02-05 1987-05-12 Henderson Claude L Hazardous condition monitoring system
US5157378A (en) * 1991-08-06 1992-10-20 North-South Corporation Integrated firefighter safety monitoring and alarm system
WO1993016636A1 (fr) * 1992-02-28 1993-09-02 Myllymaeki Matti Dispositif en forme de bracelet servant a controler l'etat physique
DE4441907A1 (de) * 1993-12-16 1995-06-22 Hewlett Packard Co Patienten-Notfallreaktionssystem
WO1996013819A1 (fr) * 1994-10-27 1996-05-09 Dan Schlager Systeme de surveillance a distance a auto-localisation

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4665385A (en) * 1985-02-05 1987-05-12 Henderson Claude L Hazardous condition monitoring system
US5157378A (en) * 1991-08-06 1992-10-20 North-South Corporation Integrated firefighter safety monitoring and alarm system
WO1993016636A1 (fr) * 1992-02-28 1993-09-02 Myllymaeki Matti Dispositif en forme de bracelet servant a controler l'etat physique
DE4441907A1 (de) * 1993-12-16 1995-06-22 Hewlett Packard Co Patienten-Notfallreaktionssystem
WO1996013819A1 (fr) * 1994-10-27 1996-05-09 Dan Schlager Systeme de surveillance a distance a auto-localisation

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CH697402B1 (de) * 2005-06-01 2008-09-30 Lifejob Ag Vorrichtung und Verfahren zur Erfassung und Verarbeitung von lebensbedrohenden Gesundheits-Gefahren bei älteren und behinderten Personen.
DE102010033985A1 (de) * 2010-08-06 2012-02-09 Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. Verfahren zur unaufdringlichen Überwachung einer Person und System zur Durchführung des Verfahrens
DE102010033985B4 (de) * 2010-08-06 2014-08-14 Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. Verfahren zur unaufdringlichen Überwachung einer Person und System zur Durchführung des Verfahrens
DE102015226194A1 (de) * 2015-12-21 2017-06-22 Robert Bosch Gmbh Mobile Funktionsvorrichtung
US9998893B2 (en) 2015-12-21 2018-06-12 Robert Bosch Gmbh Mobile function device

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