EP3327690B1 - Perfektionierte vorrichtung zum entdecken eines sturzes - Google Patents

Perfektionierte vorrichtung zum entdecken eines sturzes Download PDF

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Publication number
EP3327690B1
EP3327690B1 EP17203320.1A EP17203320A EP3327690B1 EP 3327690 B1 EP3327690 B1 EP 3327690B1 EP 17203320 A EP17203320 A EP 17203320A EP 3327690 B1 EP3327690 B1 EP 3327690B1
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EP
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Prior art keywords
fall
threshold
values
calculating
calculation
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EP17203320.1A
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English (en)
French (fr)
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EP3327690A1 (de
Inventor
Emmanuel RAVON
Didier Filhol
Aurélien GIBIAT
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Telecom Design SA
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Telecom Design SA
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    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02Alarms for ensuring the safety of persons
    • G08B21/04Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
    • G08B21/0438Sensor means for detecting
    • G08B21/0446Sensor means for detecting worn on the body to detect changes of posture, e.g. a fall, inclination, acceleration, gait
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02Alarms for ensuring the safety of persons
    • G08B21/04Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
    • G08B21/0407Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons based on behaviour analysis
    • G08B21/043Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons based on behaviour analysis detecting an emergency event, e.g. a fall

Definitions

  • the present invention relates to a method and a device for monitoring a person carrying the device and for detecting falls of this person, in particular for the elderly but also isolated workers, athletes and any person where the situation of falling represents a risk.
  • the detection of a fall must trigger an alarm with a surveillance service or with relatives.
  • Fall detection devices exist and in particular the document EP 1 642 248 A1 discloses a portable device that detects a fall by detecting a difference in height by means of a barometric measurement. Such a measure requires the use of an external reference to eliminate false detections caused by natural variations in pressure, such as those caused by door closures, drafts, particularly those resulting from building ventilation / heating systems. and temperature variations. In addition the power consumption of a permanent barometric device remains significant and much greater than that of an accelerometer.
  • the extraction of the gravity component consists in estimating the gravity vector g by using a sphere of unit radius discretized in several vertices to model the set of possible directions of the unit vector g, and a stochastic calculation to determine the probability carried by each vertex that the vector g is in the direction indicated by this vertex.
  • Other relevant prior art documents are CN 102 610 056 B , US 2013/054180 A1 and CN 102 393 992 A .
  • the present invention relates to an improved fall detection device and for which the detection and recognition of a fall is improved.
  • the method comprises a detection of gravity loss sequences, gravity feedback, loss of gravity so as to filter movements opposed to the general direction of a fall.
  • the method may further comprise a filtering of repetitive movements.
  • the validation or non-validation step may comprise a series of pressure measurements and a pressure variation calculation adapted to detect a lift of the wearer.
  • the method includes a delay before alarm called first timer.
  • the method may include a recovery detection wait for an alarm disable sensor during said first time delay and a second recovery time validation time delay, the alarm being triggered if a support is not detected during the first timeout. delay or if said overlap is of a duration less than the second time delay.
  • the detection of a worn state and an unworn state of the device by a user is performed by measuring the variation of the I / Q signal of a radio component of the device.
  • the invention may in particular provide a modeling of the wearer's steps by the analysis of the small recurrent shocks due to the steps which gives the manner in which it moves, said modeling comprising the modeling of the parameters speed of walking, amplitude of the steps, regularity, imbalance possible gait and having one or more signaling stages of significant variations of said parameters may reflect a lack of balance that may lead to a risk of falling.
  • the method of the invention may include the activation of a vibrator at the end of the fall detection validation step.
  • the invention further relates to a portable device for monitoring and detecting falls of a person adapted to implement the method of the invention and which comprises a three-axis accelerometer for detecting falls, a deactivation sensor of alarm, a pressure sensor, a buzzer, calculation means and alarm means.
  • the device may include a battery-powered sealed housing that can be worn as a medallion, bracelet, or belt.
  • the device can also be miniaturized to be incorporated in a garment or in any item worn.
  • the alarm means may include radio components adapted to transmit the alarms and the operating data of the device either to a mobile phone or to a remote support base or to a LPWAN (Low Power Wide Area Network) network.
  • LPWAN Low Power Wide Area Network
  • the device and the method of the present invention have the primary objective of helping to keep elderly people at home by preventing the risks of falling by step analysis, by detecting falls if they happen anyway and by sending alarms by radio. to a base connected to a monitoring center or to a mobile telephone equipped with a remote monitoring application in the event of a fall or abnormal behavior. They can also be used for the protection of lone workers or outdoor sportsmen and anyone who is in danger of falling.
  • the device of the invention comprises a sealed housing, similar to a watch case for example, powered by a rechargeable battery or battery which can be worn as a medallion, a bracelet or a belt but which can be miniaturized to be incorporated into a garment or in any item worn.
  • the device is equipped with radio components 5 and an antenna 8 for transmitting alarms and operating data of the device either in low energy Bluetooth (Bluetooth Low Energy) to a mobile phone for example, or in radio in the ISM band 868 Mhz for the dialogue with a base of tele-assistance or a LPWAN network (Low Power Wide Area Network) for example.
  • Bluetooth Bluetooth Low Energy
  • ISM band 868 Mhz for the dialogue with a base of tele-assistance
  • LPWAN network Low Power Wide Area Network
  • a remote assistance base In the case of a remote assistance base, the latter is arranged in a fixed position in the building in which the person carrying the device is located so that the device can interact with the base and transmit the detection information.
  • the device can communicate with either a mobile phone or an LPWAN network to transmit alarms.
  • the device comprises in particular a 3-axis accelerometer for detecting falls, a sensitive sensor 6 to enable an alarm to be deactivated when the person wishes, a pressure sensor 4 which will serve to confirm a fall or, on the contrary, to invalidate it and a vibrator 9.
  • the device comprises processing and calculation means in the form of a microprocessor or microcontroller 1 and data storage means / program 2 in RAM and ROM or reprogrammable to store the data and the internal program.
  • the device performs a signal processing provided by the accelerometer and other means of detection and alarm.
  • All the components of the device are conventionally arranged on a printed circuit and connected by electric tracks in the form of one or more buses 7 and the processing and calculation means comprise one or more digital-to-analog converters for processing the data.
  • accelerometer and pressure sensor for example.
  • the device is powered by a button-type battery or a rechargeable battery.
  • Verification of the actual port of the object is done by studying the variation of the I / Q signal given by the radio component 5. Indeed the presence of a human body in the vicinity of the device will modify the I / Q signal by changing the tuning of the antenna 8 of the device which can detect whether the device is worn or not.
  • the fall alarm is signaled to the carrier by the vibrator 9 and the carrier can possibly disable it by putting your hand on the sensor sensor 6 before the alarm is transmitted.
  • the device further comprises two LEDs 11, red LEDs to signal a fall detection and / or the sending of an alarm, a green LED 12 linked to the operation and a push button 13 for manually triggering an alarm.
  • a pseudo-vertical position is set up to reduce false alarms as long as this orientation model is valid.
  • the modeling of the position can be performed since the device maintains a pseudo verticality.
  • a variance calculation on X, Y, Z over a period of the order of one second characterizes the stability of the orientation in the space of the wearer.
  • a model of this orientation is established and updated from the averages of X, Y, Z, retaining only sufficiently stable orientations.
  • the follow-up of this orientation model makes it possible to isolate limited orientation variations, even interspersed with brief rapid variations, which correspond to a controlled activity. This detection makes it possible to cancel a fall, if the orientation of the device respects the established model, or to confirm it if the model is no longer validated.
  • the device will model the wearer's steps by analyzing, using the accelerometer 3 small recurring shocks due to the steps that gives the manner in which it moves and in particular, the walking speed, the amplitude steps, their regularity, the possible imbalance of the march and to announce important variations likely to translate a lack of equilibrium which could lead to a risk of falling.
  • the fall detection itself is performed by analyzing the measurements acquired by the accelerometer 3.
  • the accelerometer transmits a measurement combining the acceleration due to gravity and the acceleration due to the movements of the wearer of the device.
  • the accelerometer data in the 3 axes (X, Y, Z) of the accelerometer are mainly worked in standard 2, ie in the form X 2 + Y 2 + Z 2 .
  • the X, Y and Z axes of the accelerometer are fixed relative to the accelerometer whose position in space is arbitrary.
  • the measurements given by the accelerometer for the 3 axes are a combination of the gravity component and motion components.
  • the fall detection principle of the present invention is schematized in the figure 2 . It consists in analyzing the measurements through three study prisms: the search for the free fall of the device 100 corresponding to a cancellation of the gravity which is symptomatic of a free fall, the analysis of the movements 200 of the person, the fact that the fall of a person is accompanied by movements, and the detection of shocks 300 by detection of the rebound of the accelerometer weight and the variation of the angle of the vector represented by X, Y and Z in the time by means of a computation of the solid angle formed between 2 temporally close samples, this detection being necessary to determine an end of fall.
  • a first series of computations corresponds to the search for the free-fall and comprises a calculation 101 of the norm squared N 2 of the positions X 2 + Y 2 + Z 2 , a storage 102 of n1 values of N 2 .
  • step 205 the free-fall indicator of step 106 is taken into account, which, if it is set, will set the value N 2 ⁇ to a predetermined maximum value.
  • step 206 is performed a comparison of N 2 ⁇ with a threshold S ⁇ .
  • a third series 300 of calculations corresponds to the detection of shocks and comprises a storage 301 of n 4 values of X, Y, Z, the calculation 302 of the standard squared X 2 + Y 2 + Z 2 , the calculation 303 of the variation of the angle V a between the samples and the comparison 304 of this variation V a with a threshold S a .
  • N 2 ⁇ When Va is greater than the threshold Sa, the value of N 2 ⁇ is validated at 207 and the values N 2 , N 2 ⁇ are used in a mathematical function 400 giving a drop relevance value itself compared to a threshold 410 to characterize the fall.
  • the mathematical function which takes into account the value filtered in step 105 of c and the square standard of ⁇ (N 2 ⁇ ) validated (207), integrates in particular a multiplication of these 2 values (y 1 ), the subtraction of a constant to the multiplication result to eliminate minor events (y 2 ).
  • This function makes it possible to detect an exceeding of the threshold followed by a return to a normal state in a determined time characteristic of a fall or at least the end phase of a fall (before even stopping briefly when it is followed by convulsions )
  • the principle of squared standard data analysis makes it necessary to take into account a certain number of phenomena and to filter them. In particular the scaling of noise (amplified by the square), the recovery of signed values when necessary
  • the accelerometer will detect an acceleration which can be interpreted as a return of the gravity component while we are in front of a fall. For this we will isolate the sequences, loss of gravity, return of gravity, loss of gravity.
  • This filtering integrates an autocorrelation of the signals X, Y, Z taken separately on different time scales to detect several characteristic frequency spectra eg in a range of 0.3 to 3 Hz
  • the device acquires the data of the accelerometer in X, Y, Z between 20Hz and 30Hz and more particularly around 25Hz and the accelerometer comprises a low pass filter between 1000Hz and 2000Hz, typically at 1500Hz.
  • the latter is equipped with connection means to the telephone network, radio means compatible with the radio means of the device, processing and calculation means adapted to perform an alarm management and monitoring the device.
  • the device is optimized to have a low power consumption which is possible by limiting the use of a pressure sensor only in the research phase of a recovery of the device to invalidate an alarm.
  • the device can possibly send specific information which can for example of minor alert for the surveillance personnel.
  • the combination of squared standard measurement with shock detection and motion analysis measures substantially improves the filtering of false fall detections compared to prior devices with accelerometer sensors.
  • the invention is not limited to the example shown and in particular the device in a more complex version may include other sensors such as a GPS sensor.
  • a standby mode of inactivity detection for a few seconds completes the system, reducing energy consumption.
  • the sleep and wake-up phase manages all the necessary updates and invalidation of the memorized elements.

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  • Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • General Health & Medical Sciences (AREA)
  • Gerontology & Geriatric Medicine (AREA)
  • Business, Economics & Management (AREA)
  • Emergency Management (AREA)
  • Physics & Mathematics (AREA)
  • Psychology (AREA)
  • Social Psychology (AREA)
  • Psychiatry (AREA)
  • Emergency Alarm Devices (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
  • Alarm Systems (AREA)

Claims (13)

  1. Verfahren zum Überwachen des Zustands einer Person, die eine Vorrichtung zum Überwachen und zum Entdecken von Stürzen trägt, das durch Analyse von Messungen realisiert wird, die durch einen Dreiachs-Beschleunigungsmesser erfasst werden, der eine Messung übermittelt, die eine Beschleunigung aufgrund der Schwerkraft und eine Beschleunigung aufgrund der Bewegungen der Person kombiniert, wobei das Verfahren umfasst:
    - eine Berechnung (100) zur Erforschung eines freien Sturzes, die Berechnung (101) der Norm zum Quadrat N2=X2+Y2+Z2 an aufeinanderfolgenden Messdatenmustern der Achsen X, Y und Z des Beschleunigungsmessers beinhaltend, eine Ablage (102) von n1 Werten von N2, eine Berechnung (103) eines Mittelwertes a der n1 Werte von N2, und eines Mittelwertes b der letzten p Werte von N2, eine Berechnung (104) der Differenz c=a-b, eine Filterung (105);
    - den Vergleich (106) von aufeinanderfolgenden Werten der Norm zum Quadrat N2 im Verhältnis zu einem Grenzwert zum Positionieren eines Indikators eines freien Sturzes, wenn n2 aufeinanderfolgende Werte von N2 kleiner als der Grenzwert sind, wobei das Verfahren dadurch gekennzeichnet ist, dass es umfasst:
    - eine Berechnung (200) zur Analyse der Bewegung, eine Ablage (201) von n3 Mustern von X, Y, Z beinhaltend, die Berechnung (202) der Differenz Δ zwischen [zeitlich angenäherten Stichproben, die Berechnung (203) der Norm zum Quadrat der Differenz Δ: N2Δ=ΔX2+ΔY2+ΔZ2, eine Filterung (204) der Werte N2Δ, den Tausch (205) der durch einen vorbestimmten Wert berechneten Werte N2Δ, wenn der Indikator freier Sturz positioniert ist, den Vergleich (206) von N2Δ mit einem Grenzwert SΔ;
    - eine Stoßdetektionsberechnung (300), eine Ablage (301) von n4 Werten von X, Y, Z beinhaltend, die Berechnung (302) der Norm zum Quadrat N2=X2+Y2+Z2, die Berechnung (303) der Variation des Winkels Va zwischen den Mustern durch eine Berechnung eines Raumwinkels, der den quadratischen Normen angepasst ist;
    - einen Schritt zum Vergleichen (304) dieser Variation Va mit einem Grenzwert Sa, sodass:
    - wenn Va größer als der Grenzwert Sa ist, der Wert von N2Δ als Stoß validiert (207) wird, und die Werte N2, N2Δ in einer mathematischen Funktion verwendet werden, die einen Grenzwert und eine Ableitung von Va integriert, um eine Überschreitung des Grenzwerts, gefolgt von einer Rückkehr in einen Normalzustand in einer bestimmten Zeit charakteristisch für einen Sturz (400) zu detektieren, einen Angemessenheitswert y eines Sturzes ergebend, der selbst mit einem Grenzwert Sa (410) verglichen wird, um den Sturz zu charakterisieren,
    - wenn y kleiner als der Grenzwert Sa ist, der Sturz nicht vermutet wird, wenn y größer als der Grenzwert ist, der Sturz vermutet wird.
  2. Verfahren nach Anspruch 1, eine Detektion von Sequenzen Schwerkraftverlust, Schwerkraftrückkehr, Schwerkraftverlust beinhaltend, um entgegengesetzte Bewegungen zur allgemeinen Richtung eines Sturzes zu filtern.
  3. Verfahren nach Anspruch 1 oder 2, eine Filterung wiederholter Bewegungen beinhaltend.
  4. Verfahren nach Anspruch 1, 2 oder 3, wobei der Validierungsschritt eines Sturzes eine Reihe von Druckmessungen und eine Berechnung einer Druckvariation beinhaltet, die angepasst ist, um ein Wiederaufstehen des Trägers zu detektieren, welches sich der Validierung des Sturzes widersetzt.
  5. Verfahren nach einem der vorstehenden Ansprüche, eine Verzögerung vor dem Alarm beinhaltend, die erste Verzögerung genannt wird.
  6. Verfahren nach Anspruch 5, ein Warten auf eine Detektion einer Überdeckung eines Alarm-Devalidierungsdetektors (6, 13) während der ersten Verzögerung beinhaltend, und eine zweite Verzögerung einer Überdeckungsdauervalidierung, wobei der Alarm ausgelöst wird, wenn während der ersten Verzögerung keine Stützung detektiert wird, oder wenn die Überdeckung von einer Dauer kleiner als die zweite Verzögerung ist.
  7. Verfahren nach einem der vorstehenden Ansprüche, wobei die Detektion eines getragenen Zustands und eines nicht getragenen Zustands der Vorrichtung durch einen Nutzer durch Variationsmessung des Signals I/Q einer Funkkomponente (5) der Vorrichtung realisiert wird.
  8. Verfahren nach einem der vorstehenden Ansprüche, eine Modellierung der Schritte des Trägers durch die Analyse der kleinen wiederkehrenden Stöße aufgrund der Schritte beinhaltend, welche die Art ergibt, wie er sich fortbewegt, wobei die Modellierung die Modellierung der Gehgeschwindigkeitsparameter, Schrittamplitude, Regelmäßigkeit, eventuelles Ungleichgewicht beim Gehen beinhaltet und einen oder mehrere Signalisierungsetappen starker Variationen der Parameter beinhaltet, die für ein fehlendes Gleichgewicht stehen können, das zu einer Sturzgefahr führen kann.
  9. Verfahren nach einem der vorstehenden Ansprüche, wobei der Validierungsschritt eines Sturzes einen Summer (9) aktiviert.
  10. Tragbare Vorrichtung zum Überwachen und zum Entdecken von Stürzen einer Person, die ausgeführt ist, um das Verfahren nach einem der vorstehenden Ansprüche umzusetzen, dadurch gekennzeichnet, dass sie einen Dreiachs-Beschleunigungsmesser (3) zum Entdecken der Stürze, einen Alarmdeaktivierungssensor (6), einen Drucksensor (4), einen Summer (9), Berechnungsmittel (1, 2) und Alarmmittel (5, 8) beinhaltet.
  11. Vorrichtung nach Anspruch 10, ein dichtes Gehäuse beinhaltend, das durch eine Batterie versorgt wird, das als Medaillon, als Armband oder als Gürtel getragen werden kann.
  12. Vorrichtung nach Anspruch 10, dadurch gekennzeichnet, dass sie miniaturisiert ist, um in ein Kleidungsstück oder jedes andere getragene Objekt eingebracht zu werden.
  13. Vorrichtung nach Anspruch 10, 11 oder 12, wobei die Alarmmittel Funkkomponenten (5) beinhalten, die angepasst sind, um die Alarme und die Betriebsdaten der Vorrichtung entweder an ein Mobiltelefon oder an eine Fernassistenzzentrale oder an ein LPWAN-Netzwerk (Low Power Wide Area Network) zu übertragen.
EP17203320.1A 2016-11-29 2017-11-23 Perfektionierte vorrichtung zum entdecken eines sturzes Active EP3327690B1 (de)

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Application Number Priority Date Filing Date Title
FR1661635A FR3059454B1 (fr) 2016-11-29 2016-11-29 Procede et dispositif de surveillance et de detection de chutes

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EP3327690B1 true EP3327690B1 (de) 2019-06-05

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CN113793097B (zh) * 2021-09-07 2024-04-26 珠海格力电器股份有限公司 一种货物运输风险的分析方法及系统

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CN102393992A (zh) * 2011-03-15 2012-03-28 苏州摩多物联科技有限公司 人体摔倒自动检测报警终端
US9402568B2 (en) * 2011-08-29 2016-08-02 Verizon Telematics Inc. Method and system for detecting a fall based on comparing data to criteria derived from multiple fall data sets
CN102610056B (zh) * 2012-03-16 2013-09-04 清华大学 面向手机佩戴方式的跌倒事件检测系统和方法

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FR3059454B1 (fr) 2019-05-10
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EP3327690A1 (de) 2018-05-30

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