WO2016102184A1 - Procédé et dispositif de surveillance de sommeil pour déterminer une posture de corps d'une personne dans un lit - Google Patents

Procédé et dispositif de surveillance de sommeil pour déterminer une posture de corps d'une personne dans un lit Download PDF

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Publication number
WO2016102184A1
WO2016102184A1 PCT/EP2015/079041 EP2015079041W WO2016102184A1 WO 2016102184 A1 WO2016102184 A1 WO 2016102184A1 EP 2015079041 W EP2015079041 W EP 2015079041W WO 2016102184 A1 WO2016102184 A1 WO 2016102184A1
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WO
WIPO (PCT)
Prior art keywords
sensor signal
harmonic frequency
determining
signal
person
Prior art date
Application number
PCT/EP2015/079041
Other languages
English (en)
Inventor
Petronella Hendrika Zwartkruis-Pelgrim
Erik Gosuinus Petrus Schuijers
Original Assignee
Koninklijke Philips 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 Koninklijke Philips N.V. filed Critical Koninklijke Philips N.V.
Publication of WO2016102184A1 publication Critical patent/WO2016102184A1/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
    • A61B5/6887—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
    • A61B5/6892—Mats
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1116—Determining posture transitions
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235—Details of waveform analysis
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2503/00—Evaluating a particular growth phase or type of persons or animals
    • A61B2503/04—Babies, e.g. for SIDS detection
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/48—Other medical applications
    • A61B5/4806—Sleep evaluation
    • A61B5/4818—Sleep apnoea

Definitions

  • Method and sleep monitoring device for determining a body posture of a person in a bed
  • the present invention relates to a method for determining a body posture of a person in a bed.
  • the present invention further relates to a sleep monitoring device.
  • the object of the invention is achieved by a method for determining a body posture of a person in a bed according to the invention.
  • the method for determining a body posture of a person in a bed comprises the steps of generating a sensor signal in response to pressure caused by the person via a supporting layer supporting the person in the bed, determining at least one spectral parameter of the sensor signal, and classifying the body posture based on the determined at least one spectral parameter.
  • the object of the invention is further achieved by a sleep monitoring device for determining a body posture of a person in a bed according to the invention.
  • the sleep monitoring device for determining a body posture of a person in a bed, comprises a sensor device for generating a sensor signal in response to pressure caused by the person via a supporting layer supporting the person in the bed, a spectral parameter determining device for determining at least one spectral parameter of the sensor signal, and a processing unit for classifying the body posture based on the spectral parameter.
  • a sensor signal is generated via a sensor for receiving a mechanical signal in response to pressure by the person through the supporting layer, such as mattress.
  • the sensed pressure originates from e.g. body movement, respiration and heartbeat.
  • a spectral parameter is determined from the generated sensor signal .
  • the body posture can be classified and a distinction can be made between prone position and supine or side position. Because sleeping in a prone position is known to increase the risk of SIDS, it is clear that the distinction of prone position out of all other sleeping positions is highly important to be aware of as soon as it occurs.
  • a posture of a person e.g. a baby
  • a bed related to a higher risk to SIDS can be signaled as soon as the baby rolls over to the prone position and the potentially hazardous situation occurs.
  • a first harmonic frequency and a further harmonic frequency of the generated sensor signal is determined, and the spectral parameter is determined as a ratio between at least one parameter of the first harmonic frequency and at least one parameter of the further harmonic frequency, and wherein the body posture is classified based on the ratio.
  • the at least one parameter of the first harmonic frequency and the at least one parameter of the further harmonic frequency are respective amplitudes of the harmonic frequencies. This is a possibility to determine the ratio of the frequencies with low technical effort.
  • a pitch of the sensor is detected, followed by using the detected pitch to determine the first harmonic frequency and the further harmonic frequency.
  • the detection of the pitch also known as fundamental frequency or base frequency, facilitates the determination of the first harmonic frequency and the further harmonic frequency. Consequently, the determination of the ratio between the first harmonic frequency and the further harmonic frequency is facilitated and the classification of the body position is facilitated.
  • the at least on spectral parameter is a signal-to- noise ratio of at least one frequency of the generated sensor signal. This is a possibility to further determine the body posture with low technical effort.
  • the detected pitch is used to comb filter the sensor signal, followed by determining the signal-to-noise ratio based on the signal power before pitch detection and the noise power of the comb filtered sensor signal and classifying the body posture additionally based on the signal-to-noise ratio.
  • Comb filtering the sensor signal removes the harmonic frequencies and therefore provides a signal from which the noise power of the sensed signal can be estimated. From the sensor signal the signal power is known.
  • the signal-to-noise ratio which is the ratio between the signal power and the noise ratio, is, in combination with the ratio between the amplitudes of the first harmonic frequency and the further harmonic frequency, used to classify the sleeping posture.
  • a low ratio classifies as "prone position”, while a high ration classifies as "supine or side position". Prone position is an important risk indicator for SIDS.
  • the first harmonic frequency is a second harmonic frequency of the generated sensor signal and the further harmonic frequency is a fundamental frequency of the generated sensor signal.
  • the ratio between the harmonic frequencies is determined on the basis of an amplitude of the first harmonic frequency and the further harmonic frequency. This is a possibility to further reduce the technical effort for determining the ratio, since the amplitude can be determined with low technical effort and the ratio can be defined reproducible, since the amplitude is a well-defined parameter.
  • the generated sensor signal is notch filtered to determine the amplitude of the first harmonic frequency and the further harmonic frequency.
  • the notch filter used for notch filtering the generated sensor signal comprises to band pass frequencies, one having a frequency of the first harmonic frequency and one having a frequency at the further harmonic frequency so that the respective harmonics passes the notch filter and the respective other frequencies in the generated sensor signal are attenuated. This is a possibility to precisely determine the amplitude of the first harmonic frequency and the further harmonic frequency in order to determine the ratio.
  • the pitch is used to notch filter the sensor signal.
  • the sensor signal is based on a mechanical signal received from the person through the supporting layer. This is a possibility to determine the sensor signal with low technical effort and in a comfortable way for the person in the bed.
  • the spectral parameter determining device comprises a frequency determining device for determining a first harmonic frequency and a further harmonic frequency of the generated sensor signal and for determining a ratio of at least one parameter of the first harmonic frequency and at least one parameter the further harmonic frequency as the spectral parameter.
  • the sensor device comprises a piezoelectric sensor. This is a possibility to generate the sensor signal in response to the pressure caused by the person via the supporting layer with low technical effort and high precision, since the piezoelectric sensors can determine high mechanical frequencies.
  • the sensor device comprises a plurality of sensors associated to the supporting layer, wherein the sensors are spatially separated from each other. This is a possibility to further improve the reliability of the body posture determination, since the pressure is determined at different positions and the distance between the sensors and the person in the bed can be reduced.
  • Fig. 1 shows a schematic sleep monitoring device for determining a body posture of a person in a bed
  • Fig. 2 shows a detailed block diagram of an embodiment of the monitoring device for determining the body posture of the person in the bed
  • Fig. 3 shows a spectrogram of a sensor signal for determining the body posture of the person in the bed.
  • Fig. 1 shows a schematic diagram of a sleep monitoring device for determining a body posture of a person in a bed, wherein the device is generally denoted by 10.
  • the monitoring device 10 comprises a sensor device 12, which is associated to a support layer 14 which is supporting a person 16 lying in a bed 18.
  • the person 16 is a baby lying in the bed 18, wherein the monitoring device 10 is configured to determine a body posture of the baby 16 in order to detect a potentially hazardous situation related to SIDS at an early stage.
  • the baby 16 is lying on the support layer 14, which is preferably formed as a mattress.
  • the sensor device 12 comprises a mechanical sensor, which generates an electrical sensor signal 20 on the basis of a mechanical signal received from the person 16 through the support layer 14.
  • the sensor device 12 preferably comprises one or more piezoelectric sensors in order to transform the mechanical signal to the electrical sensor signal 20.
  • the sensors are preferably spatially separated in order to determine the mechanical signal with high precision for different positions on the support layer 14.
  • the sensor device 12 is connected to a control unit 22, wherein the sensor signal 20 is provided to the control unit 22 in order to evaluate the sensor signal 20 and to determine the body posture of the person 16 on the support layer 14.
  • the control unit 22 provides a corresponding indication signal 24 to an indication device 26, wherein the signal 24 may be an optical or an acoustical signal.
  • the mechanical signal received from the person 16 through the support layer 14 which is received by the sensor device 12 and transformed to the electrical sensor signal 20 is mainly based on the cardiac activity of the person 16, wherein the body posture of the person 16 with respect to the support layer 14 influences the mechanical signal and the electrical sensor signal 20 so that the body posture of the person 16 can be determined by an analysis of the electrical sensor signal 20.
  • the characteristic of the electrical sensor signal 20 is dependent on the body posture, since the signal of the cardiac activity bridges more body mass in a side position than in a prone or supine position so that the electrical sensor signal 20 is different in a side position than in a prone or supine position of the person 16.
  • the monitoring device 10 makes use of the fact that a transfer function (attenuation as a function from frequency) from the heart signal through the body which reaches the mattress depends on the body posture.
  • two features of the electrical sensor signal 20 are derived by means of the control unit 22, wherein a first feature is a signal-to-noise ratio of the fundamental frequency and also the harmonics of the heart rate signal, wherein a high signal- to-noise ratio corresponds to a supine position and a low signal-to-noise ratio corresponds to a side position of the person 16 on the support layer 14.
  • the signal-to-noise ratio is determined based on the amplitudes of the fundamental frequency and the harmonics with respect to the noise of the electrical sensor signal 20.
  • a second feature is derived from the electrical sensor signal 20 corresponding to an amplitude of two different harmonics of the heart rate signal, wherein a low ratio of a higher harmonic to a lower harmonic or the fundamental frequency corresponds to a prone position of the person 16 on the support layer 14 and a high ratio corresponds to a supine position of the person 16 on the support layer 14.
  • the control unit 22 can determine from the electrical sensor signal 20 the three positions of the person 16 on the support layer 14 corresponding to the prone, the supine and the side position.
  • the indication signal 24 is provided to the indication unit 26 e.g. as an alarm or the like.
  • the control unit 22 comprises a frequency determining device which determines a first harmonic frequency and a further harmonic frequency from the electrical sensor signal 20 and determines the ratio between the determined harmonic frequencies and, further, comprises a processing unit for classifying the body posture on the basis of the ratio of the harmonic frequencies.
  • the control unit 22 comprises a pitch detector, a comb filter and a notch filter as described in the following. Preferably the ratio is determined between amplitudes of the different harmonic frequencies.
  • Fig. 2 shows a schematic block diagram of an embodiment of the control unit 22 for determining the position of the person 16 on the support layer 14.
  • the control unit 22 receives the sensor signal 20 and a segmentation unit 28 segments the sensor signal 20 and provides the segmented signal to a pitch detector 30, wherein the pitch detector 30 estimates the pitch of each segment of the segmented signal e.g. by using an autocorrelation method.
  • the pitch detector 30 determines a fundamental frequency f or a pitch, which is used in the following to control a series of filters.
  • the so determined fundamental frequency f is provided to a comb filter 32, which removes the content of the fundamental frequency f and also higher harmonics 2f, 3f, 4f, etc. from the sensor signal 20.
  • the comb filter determines a correspondingly resulting signal which primarily consists of the remaining noise.
  • the power of the noise is determined in a noise estimator 34 and a signal-to-noise ratio is determined in a signal-to-noise ratio detector 36 which receives a signal power of the sensor signal 20 from a signal power estimator 38.
  • a first notch band pass filter 40 and a second notch band pass filter 42 is connected to the pitch detector 30.
  • the first notch band pass filter 40 determines a signal around the fundamental frequency f of the sensor signal 20 and the second notch band pass filter 42 determines a signal around a higher harmonic e.g. 2f while respectively attenuating all other frequencies.
  • a first amplitude determining unit 44 and a second amplitude determining unit 46 respectively determine an amplitude of the respective signals received from the notch band pass filters 40, 42 and a ratio determining unit 48 determines a ratio of the amplitude of the fundamental frequency f and the second harmonic 2f.
  • the signal-to- noise ratio detector 36 and the ratio determining unit 48 are connected to a signal processor 50, which classifies the position of the person 16 on the support layer 14 on the basis of the signal-to-noise ratio as a first feature of the sensor signal 20 and on the basis of the ratio of the fundamental frequency f and the second harmonic 2f as the second feature of the sensor signal 20.
  • the so determined or classified position is evaluated and the indication signal 24 is provided to the indication unit 26 in order to indicate a potentially hazardous position of the person 16 on the support layer 14.
  • the different features can be extracted from the sensor signal 20 and the position of the person 16 can be determined on the basis of the two different features.
  • Fig. 3 shows a spectrogram of the sensor signal 20 during a deep sleep of the person 16.
  • A a first time frame denoted by A
  • B a following time frame denoted by B
  • C a further time frame denoted by C
  • the three positions are determined as mentioned above, wherein for a high signal-to-noise ratio a supine position is determined, for a low signal-to-noise ratio a side position is determined and for a high ratio of the second harmonic 2f to the fundamental frequency f a prone position is determined and for a respective high ratio of the harmonic to the fundamental frequency a supine or a side position is determined.
  • the classifying of the position is possible, since the relative strength of the higher harmonics 2f, 3f, etc. compared to the fundamental frequency f is stronger when the person 16 is lying in the prone position than in the other positions.

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  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Public Health (AREA)
  • Molecular Biology (AREA)
  • Veterinary Medicine (AREA)
  • General Health & Medical Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Animal Behavior & Ethology (AREA)
  • Biophysics (AREA)
  • Pathology (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Medical Informatics (AREA)
  • Surgery (AREA)
  • Physiology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Signal Processing (AREA)
  • Artificial Intelligence (AREA)
  • Psychiatry (AREA)
  • Dentistry (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)

Abstract

La présente invention concerne un procédé pour déterminer une posture de corps d'une personne (16) dans un lit (18). Le procédé comprend les étapes consistant à générer un signal de capteur (20) en réponse à une pression provoquée par la personne par l'intermédiaire d'une couche de support (14) supportant la personne dans le lit, et déterminer au moins un paramètre spectral du signal de capteur. La posture de corps est classée sur la base dudit paramètre spectral déterminé.
PCT/EP2015/079041 2014-12-23 2015-12-09 Procédé et dispositif de surveillance de sommeil pour déterminer une posture de corps d'une personne dans un lit WO2016102184A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
EP14199987 2014-12-23
EP14199987.0 2014-12-23

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WO2016102184A1 true WO2016102184A1 (fr) 2016-06-30

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108478190A (zh) * 2018-03-16 2018-09-04 喜临门家具股份有限公司 一种睡姿检测装置及其睡姿检测方法
CN110545724A (zh) * 2017-03-29 2019-12-06 皇家飞利浦有限公司 具有不移动计时器的睡眠体位训练器
CN113509176A (zh) * 2021-07-23 2021-10-19 深圳数联天下智能科技有限公司 基于多路压电传感器的睡姿识别方法、装置和设备

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6280392B1 (en) * 1998-07-29 2001-08-28 Denso Corporation Infant condition monitoring system and method using load cell sensor sheet
US20040010202A1 (en) * 2002-06-27 2004-01-15 Hiroto Nakatani Respiratory monitoring system
US20070191742A1 (en) * 2005-02-17 2007-08-16 Park Kwang-Suk Apparatus for analyzing a sleep structure according to non-constrained weight detection
JP2008110031A (ja) * 2006-10-30 2008-05-15 Aisin Seiki Co Ltd 寝姿勢判定装置
US20110112442A1 (en) * 2007-05-02 2011-05-12 Earlysense Ltd. Monitoring, Predicting and Treating Clinical Episodes

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6280392B1 (en) * 1998-07-29 2001-08-28 Denso Corporation Infant condition monitoring system and method using load cell sensor sheet
US20040010202A1 (en) * 2002-06-27 2004-01-15 Hiroto Nakatani Respiratory monitoring system
US20070191742A1 (en) * 2005-02-17 2007-08-16 Park Kwang-Suk Apparatus for analyzing a sleep structure according to non-constrained weight detection
JP2008110031A (ja) * 2006-10-30 2008-05-15 Aisin Seiki Co Ltd 寝姿勢判定装置
US20110112442A1 (en) * 2007-05-02 2011-05-12 Earlysense Ltd. Monitoring, Predicting and Treating Clinical Episodes

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110545724A (zh) * 2017-03-29 2019-12-06 皇家飞利浦有限公司 具有不移动计时器的睡眠体位训练器
CN108478190A (zh) * 2018-03-16 2018-09-04 喜临门家具股份有限公司 一种睡姿检测装置及其睡姿检测方法
CN113509176A (zh) * 2021-07-23 2021-10-19 深圳数联天下智能科技有限公司 基于多路压电传感器的睡姿识别方法、装置和设备

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