JP2002360522A - Single living alone - Google Patents

Abstract

(57) [Summary] (With correction) [Problem] To reduce false alarms as much as possible by using a simple device to clearly distinguish between normal and abnormal subjects. SOLUTION: A detecting means 1 comprising a piezoelectric sensor for detecting body movement and respiration or pulse of a human body, a judging means 7 for judging normal or abnormal health based on detection data from the detecting means 1; In a solitary elderly for a safe living for the elderly provided with a wearable device which is integrated with a communication means 8 for notifying that the means 7 has judged an abnormality, the detection signal from the piezoelectric sensor 1 is passed through a low-pass filter 3. The difference between the maximum value and the minimum value of the inverted and amplified output (LFB
M), the presence or absence of respiration is determined, and the pulse wave and the body motion are determined based on the difference (HFBM) between the maximum value and the minimum value of the output inverted and amplified through the high-pass filter 4.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a detecting means comprising a piezoelectric sensor for detecting body movement and respiration or pulse of a human body, and a judging means for judging normal or abnormal health based on detection data from the detecting means. And a communication means for notifying that the determination means has determined that there is an abnormality.

[0002]

2. Description of the Related Art At present, about 14% of Japan's total population is elderly people aged 65 and over, and 12% of them are solitary elderly people. It is predicted that about 25% of the total population will be elderly in 2015, and the number of elderly living alone is expected to increase with the transition to nuclear families. In daily life, lonely death due to accidents such as sudden abnormal health and falls of a solitary elderly is a major social problem. Therefore, many researches and developments of electronic safe life support devices that enable a solitary elderly person to feel safe and have a safe life at home are being developed. These devices are used in daily life monitoring systems that monitor the use of electric pots, toilets, and water supplies used in daily life (eg, Shimura, Tateishi, “Technologies and Effects on Home Telecare”).
Journal of the ME Society of Japan BME14-2, 24-29, 20
00), a self-communication system that seeks help with a wireless pendant carried by a solitary elderly person when he or she feels abnormal (for example, Kenichi Sato, "M for home care business"
Current Status and Future of Application of E-Technology ", Journal of the Japan Institute of ME
7-10, 34-41, 1993) and a pyroelectric element or a video camera, which is a non-contact behavior sensor, is installed in each room of a solitary home for the elderly, and by monitoring the activity of the aged, an alarm is issued in the event of an abnormality. Non-contact behavior monitoring method (for example, Shimada, Yamamoto, Kato, Kawano, Iwata "Proposal of a care support system using a camera and a mobile phone" IEICE Technical Report, MBE2000-84, 67-72, 2000)
Etc.

There is also a bed equipped with a device for non-invasively detecting, displaying, recording and notifying vital signals such as weight, heart rate, respiratory rate and body movement of a bedridden elderly person or an inpatient who cannot move by himself. . (For example, see JP-A-62-1644.
No. 35, JP-A-63-238502, JP-A-10-14889, etc.) or means for generating an emergency signal when an emergency occurs in a house for the purpose of nursing a solitary elderly person And Japanese Unexamined Patent Application Publication No. Hei 8-577, which unlocks the doorway of a house, and is configured to notify the occurrence of abnormality by comparing and recognizing the breathing pattern of the subject.
No. 38, a pulsatile detecting device using a polymer piezoelectric film as a biological signal detecting device disclosed in Japanese Patent Application Laid-Open No. H10-14889, a physiological function monitor for sensing the functional state of a subject. Is disclosed in Japanese Patent Application Laid-Open No. 2-4315, which is a belt type.

[0004]

However, the conventional daily life monitoring system constituting such a conventional living alone support system for aged alone, and those represented by those disclosed in the former three publications, depend on the daily life pattern. And the fall of the old man,
If emergency response to sudden physical abnormalities such as myocardial infarction and cerebral infarction cannot be performed, or if the user becomes unconscious as in the self-communication system using a wireless pendant, communication cannot be performed. When the pyroelectric element is installed in each room among the non-contact behavior monitoring methods, it is not possible to determine whether the device is normal or falls down and cannot move if it is in the same place or does not move significantly. In the case of the non-contact behavior monitoring method using a video camera, there is a problem that it is difficult to accept from the viewpoint of protecting the privacy of the elderly. Beds equipped with devices that detect, display, record, and report biological signals such as weight, heart rate, respiratory rate, and body movement without invasive and unrestricted use are developed for bedridden elderly people and hospitalized patients who cannot move by themselves. The device has to be slept on a bed because it is a device which cannot be applied to an elderly person or a patient who can walk independently, for example, to the extent that he can sit on a bed.

[0005] Further, those represented by the latter four gazettes do not depend on daily life patterns, but fall down of the elderly or patients, sudden physical abnormalities such as myocardial infarction and cerebral infarction, and neonatal accidents. Although it is possible to provide emergency wearable communication devices that can perform emergency communication even if the user becomes unconscious and protect the privacy of elderly people and patients, subjects such as elderly people living alone It was still difficult to distinguish between normal and abnormal, and frequent dispatches had to be made due to misinformation. To distinguish between normal and abnormal in these subjects required complicated controls and equipment.

Accordingly, the present invention solves such problems in the conventional living alone support system for elderly people living alone, and makes it possible to clearly distinguish normal and abnormal subjects and minimize false reports by a simple device. The purpose is to provide a safe living support device for elderly people living alone.

[0007]

SUMMARY OF THE INVENTION Accordingly, the present invention provides a detecting means comprising a piezoelectric sensor for detecting a body movement and respiration or a pulse of a human body, and determining whether the health is normal or abnormal based on detection data from the detecting means. In a solitary elderly person for a safe living for aged living comprising a wearable device which is integrated with a determination means and a communication means for notifying that the determination means has determined an abnormality, a detection signal from the piezoelectric sensor is provided. ,
The maximum value of the output that is inverted and amplified through a low-pass filter,
The presence or absence of respiration is determined based on the difference between the minimum values (LFBM), and the pulse wave and body motion are determined based on the difference between the maximum value and the minimum value (HFBM) of the output inverted and amplified through the high-pass filter, and the high-pass filter output (HPFO) , The body movement due to the fall is determined. Further, according to the present invention, a threshold value is set for each of the LFBM, HFBM and HPFO, and these LFBM, HFBM and HFO are set.
The apparatus is characterized in that it can be determined from the PFO data that the state of the subject is falling, behavior, rest, or apnea. Further, the present invention is characterized in that if a signal indicating an action state is not detected after a lapse of a predetermined time after the subject falls, an abnormality determination is made. Further, the present invention is characterized in that when a resting state of the subject is continued for a certain period of time or more and an action state is not detected, an abnormality determination is made. Further, the present invention is characterized in that when the subject's apnea continues for a certain period of time or longer, an abnormality determination is made. Further, the present invention is configured so that the subject himself / herself can cancel the notification based on the abnormality determination, and these are used as means for solving the problem.

[0008]

BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a block diagram showing an embodiment of an apparatus for supporting the safe living of an elderly person living alone according to the present invention. 1 to 4 show an embodiment of a single person living alone safe life support apparatus of the present invention, and FIG. 1 is a diagram showing a configuration of a wearable safe elderly person supporting apparatus which is a single living elderly person safe living support apparatus of the present invention. 2 is a view schematically showing a detection / transmission unit of the wearable safety life support apparatus, FIG. 3 is a view showing a body movement recording piezoelectric sensor of the wearable safety life support apparatus, and FIG. It is a figure showing the state where the life support device was worn. As shown in FIG. 1, the basic configuration of the present invention is a detecting means comprising a piezoelectric sensor for detecting the body movement and respiration or pulse of the human body, and judging whether the health is normal or abnormal based on the detection data from the detecting means. In a solitary elderly safe living life support device comprising a wearable device that is integrated with a determination unit and a communication unit that informs that the determination unit has determined that the determination unit has an abnormality,
The difference (LFB) between the maximum value and the minimum value of the output obtained by inverting and amplifying the detection signal from the piezoelectric sensor through a low-pass filter.
M) to determine the presence or absence of respiration, pulse wave and body motion are determined by the difference between the maximum value and the minimum value (HFBM) of the inverted and amplified output through the high-pass filter, and the body motion due to falling is determined by the high-pass filter output (HPFO). Is determined.

In the wearable safe life support apparatus of the present invention, attention is paid to the fact that as long as a solitary elderly person or a patient lives without any physical abnormality, the body movement always occurs, and the body movement disappears for some reason. In the case where only minute body movement due to respiration or pulse wave continues for a long time, it is determined that the body is abnormal and an emergency call is made. It consists of a device and an emergency communication device. FIG. 2 shows the configuration of the developed device. This device was composed of a body motion detection device attached to the waist of a solitary elderly person and an RF transmitter as an emergency communication device for reporting a physical abnormality. The body motion detection device detects the falling time of the solitary elderly person and the duration of body motion due to respiration and pulse wave at rest, and issues a notification instruction to a caregiver, a fire department (emergency request) or a hospital. The emergency communication device receives a notification signal at the RF receiver in response to a communication request from the body motion detection device, and makes a notification via the voice modem.

FIG. 1 is a block diagram showing a wearable safe life support apparatus constituting a body movement detecting apparatus. The apparatus comprises a piezoelectric sensor 1 for recording body movement, a measurement circuit (impedance converter 2, low-pass). Filter 3, high-pass filter 4, inverting amplifiers 5, 6), microcomputer 7 (P
ICI16C711, microchip) and 315M
And a weak radio wave radio transmitter 8. The piezoelectric sensor 1 generates an electromotive force with respect to a large body motion caused by the movement of the trunk during walking and running, and an acceleration caused by minute body movement caused by respiration and pulse wave at rest. FIG. 3 shows a piezoelectric sensor unit using a polyvinylidene fluoride piezoelectric plastic film (Kyner piezoelectric film, Penwalton) having flexibility, workability, impact resistance, water resistance and chemical stability. The sensor is a polyvinylidene fluoride piezoelectric plastic film (10 mm x
(280 mm × 28 μm) Lead wires were adhered to the central portions of the nickel / aluminum electrodes on both sides with a conductive paste (Doitite D-500, Fujikura Kasei).

This piezoelectric plastic film has a thickness of 0.1 mm.
It was sealed with a 1 mm polyester film to minimize the leakage of electromotive force generated by the piezoelectric plastic. The electromotive force of the piezoelectric plastic film is extracted by an impedance conversion circuit 2 using a field-effect transistor and having an input resistance of 10 MΩ. Body movements mainly due to respiration are detected by the low-pass filter 3 having a cutoff frequency of 0.5 Hz. The detection of body movements due to pulse waves, walking, running, falling, etc. is performed by the high-pass filter 4 having a cutoff frequency of 1.5 Hz. The output of the high-pass filter 4 is an inverting amplifier 6 having a gain of 20 dB.
After being amplified by, the signal is input to the A / D converter of the microcomputer. The microcomputer 7 is a RISC type 8-bit microcomputer including a 4-channel 8-bit A / D converter, a 1-Kbyte program memory, and a 64-byte data memory. The microcomputer 7 detects a physical abnormality from the body motion data captured at a sampling rate of 40 Hz, and determines whether or not to notify the caregiver, the fire department (emergency request) or the hospital.

If it is determined that a report is necessary, a solitary elderly person is notified of a piezoelectric buzzer (SD160701, T
DK) gives a warning by sound. At this time, unless the report release button 10 is pressed, the microcomputer 7
Is a weak radio transmitter (SR315F transmission module,
The report request code is transmitted to the emergency communication device by the ITRON data). Further, the present device is provided with an emergency call switch 11, a warning buzzer 9 for an emergency call and a switch 10 for canceling these emergency calls when the elderly living alone feels physical abnormality, and is required to make a report under the consciousness of the person. , Unnecessary selection was made possible. This apparatus determines a body abnormality mainly by breathing, pulse wave, and body movement due to falling. However, it is necessary to record at least 5 seconds from the normal respiratory cycle to make a breathing judgment. Therefore, the determination of the presence or absence of respiration is 0.5H
The output obtained by inverting and amplifying by the inverting amplifier 5 was taken in at a sampling frequency of 40 Hz for 5 seconds, and the difference between the maximum and minimum values (LFBM) was obtained. The determination of the pulse wave was made by taking out the output which was taken out by the high-pass filter 4 and inverted and amplified by the inverting amplifier 6 for 5 seconds in the same manner, and calculating the difference between the maximum value and the minimum value (HFBM). Judgment of falling is sampling frequency 40Hz
The output (HPFO) of the high-pass filter 4 fetched in step (1) was checked every 25 ms.

FIG. 5 shows healthy men and women aged 50 to 80 years old.
LFBM and HFBM recorded during various activities of 0 people are shown. The record is 64K bytes of EE in the body motion detection device of FIG.
The test was performed using a small body motion recording apparatus to which a PROM was added. The piezoelectric sensor 1 has a supporter (width 0.05) using elastic fibers.
m, 1 m in length), and was brought into close contact with the body at the center of the lower abdomen (position of the belt) from above the underwear as shown in FIG. At the beginning of the recording, the subject was moved as little as possible while sitting in a chair with a backrest and lying in a supine position on the bed, and recordings were made with breathing stopped and natural breathing. The recording of turning over was performed while changing the body position from the supine position to the lateral position and from the lateral position to the supine position on the bed. 0.3m / s walking
At the slowest speed. Travel is 4.2m /
The sprinting speed was recorded at the maximum speed of s, and the fall was performed from the standing position to the mat placed on the floor as little as possible in the front-rear direction. However, running and falling were performed by a 53-year-old man.

The smallest body movement recorded was in a supine position on the bed with breathing stopped. HFB at this time
M is a high pass filter output conversion voltage of 0.011 V-
0.017 V, and LFBM showed 0.002 V-0.004 V in terms of the low pass filter output conversion voltage. The largest HFBM at rest was 0.051 V during spontaneous breathing with the chair sitting. Minimum H from sitting position (seated) to standing position, forward bending, turning over, walking, running
FBM is 0.92V for walking and the maximum is 0.2 for running
It was 53V. The minimum HPFO was 1.6V. From these results, the HFBM was 0.05 in the resting state.
The judgment is made under the condition that the LFBM becomes 0.002 V or more within 1 V. The fall is determined under the condition that the HPFO becomes 1.6 V or more. FIG. 6 shows the relationship between the numerical values of LFBM, HFBM, and HPFO in FIG. 5 and each action by a line segment, and the state where the magnitude of the momentum of each action is quantified is clearly understood.

In the detection of the resting state, it is judged that the life of the elderly living alone in daily living conditions is maintained at a minimum, but the consciousness becomes unclear due to sudden physical abnormalities such as inability to move the body or falling down such as collapse. The case is conceivable. The body motion at this time is similar to the resting state, and there is a possibility that it is determined that there is no physical abnormality. However, as long as the elderly living alone live in their daily lives without any physical abnormality, focusing on the fact that physical movements such as walking and turning over occur, HF
It is unlikely that BM will last for a long time within 0.051V. Therefore, the duration in which the high-pass filter output-converted voltage becomes 0.051 V or less, which is the maximum value in the resting state, was determined from HFBM recorded continuously for 24 hours. FIG. 7 shows a histogram of the duration. From this result, it was found that the maximum duration of the resting state was 64 minutes.

FIG. 8 shows a flowchart of the present apparatus. The processing is roughly divided into a body movement detection at rest / action and a body movement detection routine at fall. First, in step S1, a determination is made as to whether or not a fall has occurred every 25 ms.
It is done in. If the HPFO is 1.6 V or less, it is determined that there is no fall, and it is determined in step S2 or less whether the state is a resting state or an action state. The behavior state is detected when HFBM is equal to or higher than the maximum value of the resting state of 0.051V.
When the action state is detected in step S3, the 64-minute timer recording the duration of the resting state is reset (step S4). In the resting state, it is determined in step S3 that there is no body movement, and in step S5, it is determined based on the presence or absence of body movement due to respiration / pulse wave, and HFBM is 0.051.
If the LFBM is 0.002 V or more within V, the timer starts measuring the resting state continuation time (step S6). If the resting state continuation time is 64 minutes or longer, it is determined that a physical abnormality has occurred. If the noise level of both LFBM and HFBM is 0.001 V or less, it means that the respiration and pulse wave have disappeared, and it is determined that an emergency of physical abnormality has occurred, and a buzzer alert is issued (step S7). Next, if the emergency report release button is not pressed by the subject in step S8, an emergency report request is transmitted in step S9.

If a fall has occurred, the process proceeds from step S1 to step S10, and body motion detection is performed one minute after the fall is detected because it is necessary to avoid the influence of temporary movement after the fall. If the HFBM becomes equal to or higher than the minimum value of the action state of 0.051 V in step S11, it is determined that the user has performed any action in the conscious state after the fall, and it is determined that there is no need for notification. When the HFBM becomes 0.051 V or less, it is determined that there is a possibility of a physical abnormality due to a fall, and step S12 is performed.
It is determined whether or not the emergency call switch has been pressed by the user. If the emergency call switch is not pressed,
If both the HFBM and the LFBM are equal to or lower than the noise level in step S13, it is determined that the emergency is a physical abnormality. If the resting state continues for 5 minutes in step S14, it is determined that the emergency is a physical abnormality. As a result, the process proceeds to step S7, where the microcomputer generates a buzzer sound for one minute when the emergency call button is pressed or when it is determined that the body is abnormal as described above, and issues an alert after issuing a warning. It is transmitted to the communication device, and if the emergency call release button is pressed during this warning, the report is stopped.

Since the present apparatus requires high reliability, a self-check is performed every 12 hours to check whether the apparatus is operating normally. The self-check was performed by checking the operation of the sensor and the measurement circuit and checking the battery voltage. The operation is confirmed by turning on an analog switch (field-effect transistor) connected in parallel to the input resistance of the impedance conversion circuit, and determining the change in LFBM and HFBM recorded during this time. If there is no abnormality in the measurement circuit, LFBM and HFBM become 0 V when the analog switch is on. Further, when the analog switch is switched from ON to OFF to set the body motion recording state, both the LFBM and the HFBM fluctuate due to the body motion. The battery voltage is checked by dividing the voltage divided by the resistor connected in series with the battery to A /
When the voltage is taken by the D converter and becomes 2 V or less, the replacement of the battery is instructed. When these device abnormalities are detected, the device warns with an intermittent buzzer sound.

This apparatus was driven by one 3 V, 600 mA / H lithium battery (CR2450, Fuji Electric Chemical), and could be used continuously for two weeks. The emergency communication device is a weak radio wave receiver (SR315F receiving module,
Itron data), Data terminal adapter, General-purpose desktop computer (GATEWAY, PERF)
OMANANCE 600) and an external voice modem (INT)
ECOM, myMODEM336). The emergency call request from the body motion detection device is transmitted to the computer via the receiver and the data terminal adapter. The computer runs until registered carers, fire departments (emergency requests) or hospitals are notified via voice modem.

The embodiment of the present invention has been described above. However, within the scope of the present invention, the shape and type of detecting means such as a piezoelectric sensor for detecting body movement and respiration or pulse of the human body, and the human body , The form of the determination means based on the detection data, the form of the determination, the form of the communication means for communication based on the abnormality determination and the form of the communication (wired as well as wireless), the form of the low-pass filter and the form of the high-pass filter, inversion The type of amplifier, the threshold value for each of LFBM, HFBM and the output HPFO of the high-pass filter, which is the difference between the maximum value and the minimum value of the output from them, and the condition of the subject based on these are falling, behaving, resting and apnea. , The mode of cancellation of the notification by the subject, and the like can be appropriately selected.

[0021]

As described above in detail, according to the present invention, a detecting means comprising a piezoelectric sensor for detecting the body movement and respiration or pulse of the human body, and a normal health based on the detection data from the detecting means. In a solitary elderly for a safe living for the elderly equipped with a wearable device which is integrated with a determination means for determining an abnormality and a communication means for notifying that the determination means has determined an abnormality, The presence / absence of respiration is determined by the difference between the maximum value and the minimum value (LFBM) of the output obtained by inverting and amplifying the detection signal through the low-pass filter, and the difference between the maximum value and the minimum value (HFBM) of the output is inverted and amplified by the high-pass filter. A pulse wave and body motion are determined, and a high-pass filter output (HPFO) is used to determine the body motion due to falling. However, by detecting the presence or absence of breathing with the low-pass filter and the pulse and body movement with the high-pass filter, it is possible to distinguish between fall, behavior, rest and apnea of the subject, and to clearly distinguish between normal and abnormal subjects. Separately, false alarms can be reduced and emergency situations can be reported by communication means.

The LFBM, HFBM and HP
A threshold is set for each of the FOs and these LFBM and HF
The BM data can be used to determine whether the subject's condition is falling, behavior, rest, or apnea. By setting the threshold, more detailed physical condition management is possible according to the subject's individual etc. Becomes further,
If a signal indicating the behavioral state is not detected after a lapse of a predetermined time after the fall of the subject, if an abnormality determination is made, it is possible to quickly grasp the consciousness disorder and the like due to a fall during the behavior of the subject Becomes Furthermore,
In a case where the resting state of the subject is continued for a certain period of time or longer and the behavioral state is not detected, an abnormality determination is made, so that the inability of the subject to act can be grasped.

Further, if the abnormality is determined when the subject's apnea continues for a certain period of time or more, it is possible to grasp the stop of the cardiopulmonary function and the like. Furthermore, when the notification by the abnormality determination is configured to be canceled by the subject himself, the notification by the abnormality detection in a healthy state can be prevented beforehand. As described above, according to the present invention, there is provided an inexpensive living alone support system for elderly people living alone that can clearly distinguish between normal and abnormal subjects and minimize false reports with a simple device.

[Brief description of the drawings]

FIG. 1 shows a device for supporting a safe living environment for aged alone according to the present invention
BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a block diagram illustrating an embodiment and schematically illustrating a detection / transmission unit of a wearable safety life support apparatus.

FIG. 2 is an overall schematic view of a single person living alone safe living support apparatus including a transmitting section and a receiving section, which are wearable safe living support apparatuses.

FIG. 3 is a diagram showing a body movement recording piezoelectric sensor of the wearable safe life support apparatus.

FIG. 4 is a diagram showing a state in which the wearable safety life support apparatus is mounted.

FIG. 5: LFBM and HF recorded during each action
It is a table | surface figure which shows the value of BM.

FIG. 6 is a diagram obtained by linearly dividing FIG. 5;

FIG. 7 is a diagram showing the duration of a resting state.

FIG. 8 is a view showing a flowchart of the single person living alone support system for safe living of the present invention.

[Explanation of symbols]

 Reference Signs List 1 piezoelectric sensor 2 impedance converter 3 low-pass filter 4 high-pass filter 5, 6 inverting amplifier 7 microcomputer 8 RF transmitter 9 buzzer 10 emergency call release button 11 emergency call button

──────────────────────────────────────────────────続 き Continued on the front page (51) Int.Cl. ⁷ Identification symbol FI Theme coat ゛ (Reference) G08B 25/04 A61B 5/10 310A (72) Inventor Ishio Ninomiya 18-15 Higashikamachi, Hiroshima City, Hiroshima Prefecture F-term (Reference) 4C038 SS08 VA16 VB31 5C086 AA22 BA01 CA02 CB20 DA01 EA08 EA11 EA13 EA32 EA34 EA36 EA43 EA45 FA02 5C087 AA32 AA42 BB20 BB75 CC02 CC12 CC23 DD03 DD24 DD29 EE18 FF31 GG31 FF17 GG17 FF17 GG17 FF13 GG17 FF17 GG17 FF17 GG17 FF13

Claims (6)

[Claims] 1. A detecting means comprising a piezoelectric sensor for detecting a body movement and respiration or a pulse of a human body, a judging means for judging normal or abnormal health based on detection data from the detecting means, In a living alone support system for aged living alone provided with a wearable device to be attached to a subject by integrating communication means for notifying that an abnormality has been determined, the detection signal from the piezoelectric sensor is the maximum output inverted and amplified through a low-pass filter. The presence / absence of respiration is determined based on the difference between the value and the minimum value (LFBM), and the pulse wave and the body motion are determined based on the difference between the maximum value and the minimum value (HFBM) of the inverted and amplified output through the high-pass filter. HP
A single person living alone safe living support apparatus characterized in that the body movement due to a fall is determined by FO). 2. The LFBM, HFBM and HPFO
Are set as thresholds, and the subject's condition falls, behaves, and falls based on the data of LFBM, HFBM and HPFO.
The single person living alone safe living support device according to claim 1, characterized in that it is configured to be able to determine either resting or apnea. 3. The living life of an elderly person living alone according to claim 1 or 2, wherein an abnormality determination is made if a signal indicating an action state is not detected after a predetermined time has elapsed after the subject fell. Support equipment. 4. The apparatus according to claim 1, wherein a resting state of the subject is continued for a certain period of time or more, and if no action state is detected, an abnormality is determined.
The device for supporting a safe living for the elderly alone according to any one of the above. 5. The device for supporting the safe living of an elderly person living alone according to any one of claims 1 to 4, wherein if the subject's apnea continues for a certain period of time or longer, an abnormality is determined. 6. The device for supporting the safe living of an elderly person living alone according to any one of claims 1 to 5, wherein the notification by the abnormality determination can be canceled by the subject himself.