JP3121782U - Body motion sensor - Google Patents

Abstract

A body motion sensor for determining a body motion state of a sleeping person without attaching electrodes directly to the human body.
A human body detecting means for detecting a human body on bedding, a body motion detecting means for detecting a body motion of a sleeping person detected by the human body detecting means, and a body motion signal obtained from the body motion detecting means are analyzed. Body motion analyzing means for analyzing the body motion status, body motion abnormality analyzing means for determining whether or not the body motion analysis result is abnormal, and when the body motion analyzing means determines that the body motion is abnormal A body motion detector characterized in that it determines the body motion status of a bedding user comprising a reporting means for informing the three parties.
[Selection] Figure 1

Description

The present invention relates to body motion detection of a sleeping person.

Conventionally, the situation has been visually judged as a means for detecting the body movement, sleepiness, distress, creaking, and turning over of a sleeping person.

Problems to be solved by the invention

Therefore, there were the following problems.
B) It is impossible to watch over sleeping people at hospitals and nursing care facilities.
B) There is no way to know any abnormalities in the body movement of the sleeping person after patrol.
C) The number of patrols is reduced due to the shortage of caregivers and nurses in an aging society with a declining birthrate, and it is difficult to detect body movement abnormalities of sleeping people.
D) In the case of home nursing, there is an increasing number of cases where couples fall down because of elderly care.
E) The home caregiver's freedom is deprived.
F) The physical and mental burdens of nurses and caregivers are increasing.

Means for solving the problem

The first condition of the present case for solving the above problems is that the human body detecting means for detecting the human body on the bedding, the body movement detecting means for detecting the body movement of the sleeping person detected by the human body detecting means, and the body movement Body motion analysis means for analyzing a body motion state by analyzing a body motion signal obtained from the detection means, body motion abnormality analysis means for determining whether the body motion analysis result is abnormal body motion, and the body motion analysis A body motion detector characterized in that a body motion status of a bedding user comprising notification means for notifying a third party when it is determined that the body motion is abnormal is determined.

According to a second aspect of the present invention, there is provided a body motion detector characterized in that a pressure sensor is used in the human body detecting means according to claim 1.

The third device is a mat body switch, capacitance sensor, magnetic sensor, acceleration sensor, air-mat pressure sensor combination sensor, camera, artificial retina, optical sensor, three-dimensional camera sensor, A body motion detector using a sound wave sensor, a pressure sensor, a pyroelectric element and other means for sensing a human body.

According to a fourth aspect of the present invention, there is provided a body motion detector characterized in that the body motion detecting means of claim 1 is made of piezoelectric ceramics such as an aluminum nitride thin film, an aluminum oxide pressure sensitive coating, or the like.

The fifth device is a body motion detector characterized in that a piezoelectric film, such as PVDF, is used for the body motion detection means of claim 1.

Further, the sixth aspect of the present invention provides body motion detection using the body motion detection means of claim 1 using a vibration sensor, a strain gauge, an acceleration sensor, a pyroelectric element, a gyro sensor or a pressure sensitive film, or a capacitance sensor. vessel.

According to a seventh aspect of the present invention, the body motion detection means according to claim 1 has a sensor incorporating a micron in the air mat, a sensor incorporating a pressure sensor in the air mat, or a pressure sensor incorporated in the air mat. Body motion detector using a sensor.

Further, the eighth device is an air mat and a tube connected to the body motion detecting means of claim 1, and an atmospheric pressure sensor, a pressure sensor, a micron, a strain gauge, a piezoelectric sensor or an acceleration sensor at the end of the tube. Alternatively, a body motion detector using a body motion sensor equipped with a gyro or other sensor capable of detecting body motion.

According to a ninth aspect of the present invention, there is provided a body motion detector characterized in that an optical Doppler sensor, a microwave Doppler sensor, a millimeter wave, or a millimeter wave Doppler sensor is used as the body motion detection means of claim 1.

According to a tenth aspect of the present invention, there is provided a body motion detector characterized in that the body motion detecting means according to claim 1 uses a sensor capable of detecting body motion in addition to claims 4-9.

The eleventh aspect of the present invention is a body motion detector characterized in that the body motion analyzing means for analyzing the body motion state according to claim 1 identifies the cough of a sleeping person by frequency analysis.

According to a twelfth aspect of the present invention, there is provided a body motion detector characterized in that the body motion analysis means for analyzing the body motion state according to claim 1 identifies a bedlocked person's clogging by frequency analysis.

The thirteenth aspect of the present invention is a body motion detector characterized in that the body motion analysis means for analyzing the body motion state according to claim 1 identifies the sleeper's pain by frequency analysis.

According to a fourteenth aspect of the present invention, there is provided a body motion detector characterized in that the body motion analyzing means for analyzing the body motion state according to claim 1 identifies a sleeper's snoring by frequency analysis.

The fifteenth aspect of the present invention is a body motion detector characterized in that the body motion analysis means for analyzing the body motion state according to claim 1 identifies the turnover of a sleeper by frequency analysis.

According to a sixteenth aspect of the present invention, there is provided a body motion detector characterized in that the body motion analysis means for analyzing a body motion state according to claim 1 discriminates a sleeper's cough, pain, and snoring at a level.

The seventeenth aspect of the invention is the body motion abnormality analysis means according to claim 1, wherein the body motion abnormality analysis means notifies the abnormality when various body motion symbols input from the body motion analysis means exceed a limited time. Body motion detector.

According to an eighteenth aspect of the present invention, the time limit setting of claim 17 is performed by software, a volume, a slide switch, a dip switch or other methods.

According to a nineteenth aspect of the present invention, there is provided a body motion detector characterized in that a nurse radio is used as the reporting means of claim 1.

According to a twentieth aspect of the present invention, there is provided a body motion detector characterized in that the notification means of claim 1 is wireless.

A twenty-first aspect of the invention is a body motion detector characterized in that the Internet is used for the reporting means of claim 1.

According to a twenty-second aspect of the present invention, there is provided a body motion detector characterized in that a telephone line is used for the reporting means of claim 1.

A twenty-third device uses a mobile phone, a PHS, a pager, and a PDA as the reporting means according to claim 1.

According to a twenty-fourth aspect of the present invention, there is provided a body motion detector characterized in that sound and light are used for the reporting means of claim 1.

A twenty-fifth aspect of the present invention is a body motion detector characterized in that optical communication is used for the reporting means of claim 1.

The invention's effect

By this device, it is possible to automatically notify a third party when coughing continues, so it is possible to instantly grasp changes in the sleeper's condition and take appropriate post-measures.

By this device, it is possible to automatically notify a third party when tanning continues, so it is possible to instantly grasp the change in the condition of the sleeping person and take appropriate post countermeasures.

By this device, it is possible to automatically notify third parties when pains continue, so it is possible to immediately grasp the change in the condition of the sleeping person and take appropriate post-measures.

By this device, it is possible to automatically notify a third party when stigma continues, so it is possible to immediately grasp the change in the condition of the sleeping person and take appropriate post countermeasures.

By this device, it is possible to automatically notify a third party when a stuffy lip continues in the throat, so it is possible to instantly grasp the change in the condition of the sleeping person and take appropriate post countermeasures.

Hereinafter, an embodiment of the present invention 1 will be described. In FIG. 1, the output of the body motion detection unit 1 that senses the body motion of an aged or sick person who is sleeping is connected to the input of the body motion analysis unit 2, and the output of the body motion analysis unit 2 is the output of the body motion abnormality analysis unit 3. Connected to the input, the output of the body movement abnormality analysis unit 3 is connected to the reporting unit 4.

In the present invention 1, a body motion signal is output from a body motion detection unit 1 capable of detecting the motion of a human body sleeping while the body motion signal from the body motion detection unit 1 is subjected to body motion analysis. Part 2 is input. The body motion analysis unit 2 removes the commercial frequency and other external noises by filtering the body motion state by using the filter, FFT, weblet, cous, or other frequency analysis method, for example, body motion signal, tan signal, pain signal, Extracting signals, rolling signals, nocturnal signals, other body motion signals from the body motion analyzing unit 2, body signals, tanning signals, pain signals, snoring signals, rolling signals, nocturnal signals, other body motion signals The dynamic abnormality analysis unit 3 is input. The body motion anomaly analysis unit 3 detects the presence or absence of a human body while sleeping by overriding a preset time for a sneak signal, a tanning signal, a pain signal, a snoring signal, a turning signal, and a nodding signal. When the human body detection signal is ON from the unit 5, the body motion abnormality signal is output from the body motion abnormality analysis unit 3. When the body motion anomaly signal output from the body motion anomaly analysis unit 3 is input, the reporting unit 4 sends a third-party to a third-party call line, or a wireless or Internet, a telephone line, a mobile phone, Inform the third party of the abnormal condition of the sleeping person by PHS / PDA or sound or light or optical communication or ultrasonic or other communication means.

Hereinafter, an embodiment of the second device will be described. In FIG. 1, a pressure sensor is used as a detector of the human body detector 5 that detects the presence or absence of a sleeping person.

The third embodiment of the third device will be described below. As a detector of the human body detection unit 5 for detecting the presence or absence of a sleeping person in FIG. 1, a mat switch, a capacitance sensor, a magnetic sensor, an acceleration sensor, an air mat, a pressure sensor combination sensor / camera, an artificial retina, an optical sensor, A body motion detector using a three-dimensional camera sensor, an ultrasonic sensor, a pressure sensor, a pyroelectric element, and other means for sensing the human body.

The fourth embodiment of the fourth device will be described below. A body motion detector using piezoelectric ceramics such as an aluminum nitride thin film, an aluminum oxide pressure-sensitive coating, or the like as a detection of the body motion detection unit 1 that detects the movement of a sleeping person in FIG.

The fifth embodiment of the fifth device will be described below. The body motion detector which uses a piezoelectric film, for example, PVDF, as a detection of the body motion detection part 1 which detects the motion of a sleeper's body in FIG.

The sixth embodiment of the sixth device will be described below. In FIG. 1, as a detection of the body motion detection unit 1 for detecting the body motion of a sleeping person, the body motion detection means of claim 1 includes a vibration sensor, a strain gauge or an acceleration sensor, a pyroelectric element, a gyro sensor, or a pressure sensitive film. Or a body motion detector using a non-contact temperature sensor or a capacitance sensor.

The seventh embodiment of the seventh device will be described below. In FIG. 1, a sensor incorporating a micron in the mat, a sensor incorporating a pressure sensor in the air mat, or a pressure sensor in the air mat as the detection of the body motion detection unit 1 that detects the movement of the sleeping person's body. Body motion detector using a built-in sensor.

The eighth embodiment of the eighth device will be described below. In FIG. 1, an air mat and a tube are connected as detection of the body motion detection unit 1 for detecting the movement of the sleeping person's body, and an atmospheric pressure sensor, a pressure sensor, a micron, a strain gauge or the like is connected to the end of the tube. A pressure sensor, an acceleration sensor, or a gyro is used.

The output of the human body detection unit 5 can be input to a circuit other than the body motion abnormality analysis unit 3 as long as it senses the human body and the body motion sensor operates.

Further, the human body detection unit 5 can also be used as a wake-up sensor that notifies the user that the person has risen from the bed.

The ninth embodiment of the ninth device will be described below. In FIG. 1, an optical Doppler sensor, a microwave Doppler sensor, a millimeter wave or a millimeter wave Doppler sensor is used as a detection of the body motion detection unit 1 that detects the body motion of a sleeping person.

The tenth embodiment of the tenth device will be described below. In FIG. 1, the body motion detection unit 1 for detecting the body motion of a sleeping person is a body motion sensor using a sensor capable of detecting body motion other than the fourth to ninth devices.

The eleventh embodiment of the eleventh device will be described below. In FIG. 1, the body motion state of the sleeping person is removed by a filter, FFT, Webred, Couse, or other frequency analysis method, and commercial noise and other external noises are removed, and a cough signal component is extracted by the body motion analysis unit 2.

The twelfth embodiment of the twelfth invention will be described below. In Fig. 1, the body movement status of a sleeping person is filtered by filtering, FFT, Webred, Kaus, or other frequency analysis method to remove commercial frequencies and other external noises, and tangled, and body movement analysis of signal components of clogs and other clogging Part 2 extracts.

The thirteenth embodiment of the thirteenth invention will be described below. In FIG. 1, the body movement state of the sleeping person is extracted by the body movement analysis unit 2 by removing the commercial frequency and other external noises by filtering, FFT, Webred, Couse, or other frequency analysis methods.

The fourteenth embodiment of the fourteenth invention will be described below. In FIG. 1, the body motion state of a sleeping person is removed by a filter, FFT, Webred, Couse, or other frequency analysis method, and commercial noise and other external noises are removed, and the body motion analysis unit 2 extracts a signal component of snoring.

The fifteenth embodiment of the fifteenth invention will be described below. In FIG. 1, the body movement state of the sleeping person is extracted by the body movement analysis unit 2 by removing the commercial frequency and other external noises by filtering, FFT, Webred, Couse, or other frequency analysis methods.

The sixteenth embodiment 16 of the present invention will be described below. In FIG. 1, the body frequency analysis unit 2 extracts signal components by removing the sleeper's commercial frequency and other external noises.

The seventeenth embodiment of the seventeenth invention will be described below. In FIG. 1, the body motion analysis unit 2 for determining the body motion state of the sleeping person identifies the body motion signal level excluding the commercial frequency and other external noises in the sleeping person's sexuality, nodomaly, pain, snoring, turning over, and nodularity. To do.

The nineteenth embodiment of the eighteenth device will be described below. In FIG. 1, the time limit setting method of the body motion abnormality analysis unit 3 is performed by software, volume, slide switch, dip switch or other methods.

The twenty-second embodiment of the nineteenth invention is described below. In FIG. 1, when a body movement abnormality signal is input from the body movement abnormality analysis unit 3 to the reporting unit 4 when a bed movement abnormality occurs in FIG. 1, the body movement abnormality of the sleeping person is detected using the nurse line. Use to inform third parties.

A twenty-third embodiment of the twentieth invention will be described below. In FIG. 1, when a body motion abnormality signal is input from the body motion abnormality analysis unit 3 to the reporting unit 4 when a body motion abnormality occurs in the sleeping person, the body movement abnormality of the sleeping person is wirelessly transmitted to a third party. To inform.

The twenty-fourth embodiment of the twenty-first device will be described below. In FIG. 1, when a body motion abnormality signal is input from the body motion abnormality analysis unit 3 to the reporting unit 4 when the body motion abnormality occurs in the sleeping person, the body movement abnormality of the sleeping person is wirelessly determined using the Internet. Inform the three parties.

A twenty-fifth embodiment of the twenty-second invention will be described below. In FIG. 1, when a body motion abnormality signal is input from the body motion abnormality analysis unit 3 to the notification unit 4 when a body motion abnormality occurs in the sleeping person, the body movement abnormality of the sleeping person is detected using a telephone circuit. Inform the three parties.

A twenty-sixth embodiment of the twenty-third device will be described below. In FIG. 1, when a body motion abnormality signal is input from the body motion abnormality analysis unit 3 to the notification unit 4 when a body motion abnormality occurs in the sleeper, the body motion abnormality of the sleeper is performed using a mobile phone, a PHS, a PDA, and a pager line. To a third party using a mobile phone, PHS, or PDA.

A twenty-seventh embodiment of the twenty-fourth invention will be described below. In FIG. 1, when a body motion abnormality signal is input from the body motion abnormality analysis unit 3 to the reporting unit 4 when a sleeper's body motion abnormality occurs, the sleeper's body motion abnormality is lighted and sounded using a sound and optical line. Use to inform third parties.

The twenty-eighth embodiment of the twenty-fifth invention is described below. In FIG. 1, when a body movement abnormality signal is input from the body movement abnormality analysis unit 3 to the reporting unit 4 when the body movement abnormality occurs in the sleeping person, the body movement abnormality of the sleeping person is detected using optical communication. Inform the three parties.

Block diagram of the first device

Explanation of symbols

1. 1. Body motion detector 2. Body motion analysis unit 3. Body movement abnormality analysis unit Report section 5. Human body detector

Claims (25)

  Human body detection means for detecting a human body on the bedding, body movement detection means for detecting the body movement of a sleeping person detected by the human body detection means, and body movement signals obtained from the body movement detection means Body motion analyzing means for analyzing the situation, body motion abnormality analyzing means for determining whether or not the body motion analysis result is abnormal body motion, and informing a third party when the body motion analyzing means determines that the body motion is abnormal A body motion detector characterized in that it determines the body motion status of a bedding user comprising a reporting means.   A body motion detector using a pressure sensor as the human body detection means according to claim 1.   The human body detecting means of claim 1 includes a mat switch, a capacitance sensor, a magnetic sensor, an acceleration sensor, a combination sensor of an air-mat pressure sensor, a camera, an artificial retina, an optical sensor, a three-dimensional camera sensor, an ultrasonic sensor, and a pressure sensor. A body motion detector using a sensor, a pyroelectric element or other means for sensing a human body.   2. A body motion detector according to claim 1, wherein the body motion detecting means of claim 1 is made of a piezoelectric ceramic such as an aluminum nitride thin film, an aluminum oxide pressure sensitive coating, or the like.   2. A body motion detector using a piezoelectric film, such as PVDF, for the body motion detecting means of claim 1.   A body motion detector using a vibration sensor, a strain gauge, an acceleration sensor, a pyroelectric element, a gyro sensor or a pressure sensitive film, or a capacitance sensor as the body motion detecting means according to claim 1.   2. Body movement using a sensor incorporating a micron in the air mat, a sensor incorporating a pressure sensor in the air mat, or a sensor incorporating a pressure sensor in the air mat. Detector.   An air mat and a tube are connected to the body motion detecting means of claim 1, and an atmospheric pressure sensor, a pressure sensor, a micron, a strain gauge, a piezoelectric sensor, an acceleration sensor, a gyro or other body motion is connected to the end of the tube. A body motion detector using a body motion sensor equipped with a sensor capable of detection.   A body motion detector using an optical Doppler sensor, a microwave Doppler sensor, a millimeter wave, or a millimeter wave Doppler sensor as the body motion detection means of claim 1.   A body motion detector using a sensor capable of detecting body motion in addition to claims 1 to 5 as the body motion detection means of claim 1.   A body motion detector for identifying cough of a sleeping person by frequency analysis by the body motion analyzing means for analyzing a body motion state according to claim 1.   The body motion detector according to claim 1, wherein the body motion analyzing means for analyzing the body motion status identifies a clog of a sleeping person by frequency analysis.   A body motion detector for identifying a sleeping person's pain by frequency analysis by the body motion analyzing means for analyzing the body motion state of claim 1.   A body motion detector for identifying a sleeper's stagnation by frequency analysis by the body motion analysis means for analyzing the body motion state of claim 1.   A body motion detector characterized in that the body motion analysis means for analyzing the body motion status according to claim 1 identifies the turnover of a sleeping person by frequency analysis.   2. A body motion detector characterized in that the body motion analyzing means for analyzing the body motion state according to claim 1 identifies a cough, distress, and stagnation of a sleeping person by level.   2. A body motion detector according to claim 1, wherein the body motion anomaly analysis means informs the body motion abnormality analysis means when various body motion symbols input from the body motion analysis means over a limited time. .   18. The body motion detector according to claim 17, wherein the limited time is set by software, a volume, a slide switch, a dip switch or other methods.   2. A body motion detector using a nurse radio as the reporting means of claim 1.   A body motion detector using radio as the reporting means according to claim 1.   A body motion detector using the Internet for the reporting means according to claim 1.   A body motion detector using a telephone line as the reporting means according to claim 1.   A body motion detector using a mobile phone, a PHS, a pager, or a PDA as the reporting means according to claim 1.   A body motion detector using sound and light as the reporting means according to claim 1.   A body motion detector using optical communication as the reporting means according to claim 1.

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