WO2017213136A1

WO2017213136A1 - Living body monitoring device and living body monitoring method

Info

Publication number: WO2017213136A1
Application number: PCT/JP2017/020968
Authority: WO
Inventors: 将司古後; 真和岡田; 祐亮平尾
Original assignee: コニカミノルタ株式会社
Priority date: 2016-06-09
Filing date: 2017-06-06
Publication date: 2017-12-14
Also published as: JP6852733B2; JPWO2017213136A1

Abstract

Provided is a living body monitoring device capable of automatically measuring a living body signal of a person to be monitored in bed. The living body monitoring device (sensor device) is provided with a determination unit (behavior sensing unit), and an acquisition unit. The determination unit determines whether the person to be monitored is in bed. The acquisition unit includes a sensor (Doppler sensor) capable of contactlessly measuring, with respect to the person to be monitored in bed, a living body signal of the person to be monitored, and acquires the living body signal of the person to be monitored in bed on the basis of the determination by the determination unit of the presence of the person to be monitored in bed and the determination of absence in bed.

Description

Biological monitoring apparatus and biological monitoring method

The present invention relates to a technique for monitoring a living body of, for example, a person who needs nursing or a person who needs care (hereinafter referred to as a nurse who needs nursing).

Japan (Japan) is an aging society due to the improvement of living standards accompanying the post-war high economic growth, the improvement of sanitation environment and the improvement of medical standards, and more specifically the ratio of the population over 65 years old to the total population It is a super-aging society with an aging rate exceeding 21%. In 2005, the total population was about 126.5 million, while the elderly population over the age of 65 was about 25.56 million. In 2020, the total population was about 124.11 million. There is also a prediction that the elderly population will be about 34.56 million. In such an aging society, an increase in the number of nurses requiring medical attention due to illness, injury, aging, etc. is expected, compared to a normal society that is not an aging society.

Such nurses are required to enter hospitals and other facilities such as welfare facilities for the elderly (such as short-term welfare facilities for the elderly, nursing homes for the elderly and special nursing homes for the elderly under Japanese law) and receive nursing care. In facilities such as hospitals and welfare facilities for the elderly, for example, those who need nursing care such as nurses or caregivers, etc. Nurses, etc.) confirm their safety by periodically patrols. However, since the number of nurses and the like is reduced in the quasi-night shift and night shift hours compared to the day shift hours, the work load per person increases, and therefore the work load must be reduced. For this reason, in recent years, a monitored person monitoring device that monitors (monitors) a patient who needs nursing is monitored and developed.

As one of the monitored person monitoring devices, there is a monitored person's biological monitoring device. This apparatus measures the biological signal of the monitored person, calculates the biological information (for example, respiratory rate, heart rate, body movement number) of the monitored person based on this, and based on the biological information, for example, Monitors the safety of the monitored person, the posture of the monitored person (sleeping, lying down, lying down) and the sleeping time of the monitored person.

There is a system using a microwave Doppler sensor as a biological monitoring device. For example, Patent Document 1 irradiates a monitored person with microwaves, detects body movement and respiration of the monitored person from the Doppler-shifted reflected wave, and calculates the number of body movements and respiration rate within a predetermined time. A safety monitoring device for monitoring the safety of a monitored person is disclosed. For example, Patent Document 2 irradiates a monitored person with microwaves, detects a microwave reflected by the monitored person, and extracts a respiratory component included in the microwave detected by the detecting section. And a determination unit that determines the body position during sleep based on the signal intensity of the respiratory component extracted by the extraction unit.

According to the biological Doppler sensor type biological monitoring device, the biological signal of the monitored person can be measured without contact. Therefore, it is possible to eliminate the burden on the monitored person when measuring the biological signal.

Suppose that a microwave Doppler sensor is installed on the ceiling and microwaves are irradiated toward the bed of the person being monitored. When the monitored person is on the bed, the Doppler signal generated by the microwave Doppler sensor is a biological signal of the monitored person. However, the Doppler signal generated by the microwave Doppler sensor when the monitored person leaves the bed to go to the toilet or the like is not the biological signal of the monitored person. If the biological monitoring device calculates biological information based on the latter Doppler signal, incorrect biological information is calculated.

In order to prevent this, it is conceivable that when the monitored person enters the bed, the monitored person turns on the biological monitoring device, and when the monitored person leaves the bed, the monitored person turns off the biological monitoring device. However, this is a burden on the monitored person. When the monitored person has dementia, the monitored person cannot turn on and off the biological monitoring device.

JP 2012-75861 A JP 2014-207934 A

An object of the present invention is to provide a living body monitoring apparatus and a living body monitoring method capable of automatically measuring a living body signal of a monitored person in a bed.

The biological monitoring apparatus according to an aspect of the present invention includes a determination unit and an acquisition unit. The determination unit determines whether the monitored person to be monitored is in the bed. The acquisition unit includes a sensor that can measure the biological signal of the monitored person in a non-contact manner with respect to the monitored person who is in the bed, and the determination unit determines that the monitored person is in the bed Based on the determination that the person is not on the bed, the biological signal of the person being monitored who is on the bed is acquired.

The above and other objects, features and advantages of the present invention will become apparent from the following detailed description and the accompanying drawings.

It is a figure which shows the structure of the to-be-monitored person monitoring system provided with the biological monitoring apparatus in this embodiment. It is a schematic diagram which shows the living room where the sensor apparatus (biological monitoring apparatus) is arrange | positioned. It is a block diagram of the sensor apparatus in this embodiment. It is a schematic diagram which shows an example when the to-be-monitored person is not in a bed in the living room where the sensor apparatus is arrange | positioned. It is explanatory drawing explaining acquisition of the biosignal by an acquisition part. It is a flowchart explaining the operation | movement which acquires a biological signal by the sensor apparatus SU (biological monitoring apparatus) in this embodiment.

Hereinafter, an embodiment according to the present invention will be described with reference to the drawings. In addition, the structure which attached | subjected the same code | symbol in each figure shows that it is the same structure, The description is abbreviate | omitted suitably. In this specification, when referring generically, it shows with the reference symbol which abbreviate | omitted the suffix, and when referring to an individual structure, it shows with the reference symbol which attached the suffix.

The living body monitoring apparatus in this embodiment is provided in a monitored person monitoring system. The monitored person monitoring system is a system for monitoring a monitored person to be monitored (in other words, a watching target person to be watched over) using a plurality of devices, the terminal device, And a monitored person monitoring device that is connected to the terminal device so as to be communicable, detects a predetermined event (event) related to the monitored person, and notifies the terminal device of the event. The monitored person monitoring device may be integrally configured by a single device. However, in this specification, the monitored person monitoring device is connected to the sensor device and the sensor device and the terminal device so as to communicate with each other. By providing the management server device, the two types of devices are configured separately. This sensor device detects the predetermined event related to the monitored person and notifies (notifies and transmits) the management server device. Upon receiving the notification from the sensor device, the management server device manages the event that has received the notification, and re-notifies the event to a predetermined terminal device associated with the sensor device. Send. Although the terminal device may be one type of device, in the present specification, the terminal device is two types of devices, a fixed terminal device and a mobile terminal device. The main difference between these fixed terminal devices and portable terminal devices is that the fixed terminal device is fixedly operated, while the portable terminal device is operated by being carried by a supervisor (user) such as a nurse or a caregiver. Since the fixed terminal device and the mobile terminal device are substantially the same, the mobile terminal device will be mainly described below.

FIG. 1 is a diagram illustrating a configuration of a monitored person monitoring system MS including a biological monitoring apparatus according to the present embodiment. More specifically, the monitored person monitoring system MS includes, for example, one or a plurality of sensor devices SU (SU-1 to SU-4), a management server device SV, a fixed terminal device SP, and one or a plurality of ones. It includes a portable terminal device TA (TA-1, TA-2) and a private branch exchange (PBX, Private Branch eXchange) CX, which are wired or wireless, such as a network (network, communication) such as a LAN (Local Area Network). Line) Connected to be communicable via NW. The network NW may be provided with repeaters such as repeaters, bridges, and routers that relay communication signals. In the example shown in FIG. 1, the plurality of sensor devices SU-1 to SU-4, the management server device SV, the fixed terminal device SP, the plurality of portable terminal devices TA-1, TA-2, and the private branch exchange CX include an L2 switch. Are connected to each other by a wired / wireless LAN (for example, a LAN in accordance with the IEEE 802.11 standard) NW including the LS and the access point AP. More specifically, the plurality of sensor devices SU-1 to SU-4, the management server device SV, the fixed terminal device SP, and the private branch exchange CX are connected to the line concentrator LS, and the plurality of portable terminal devices TA-1, TA-2. Is connected to the line concentrator LS via the access point AP. The network NW configures a so-called intranet by using Internet protocol groups such as TCP (Transmission Control Protocol) and IP (Internet Protocol). The private branch exchange CX is connected to the telephone TL via the public telephone network PN.

The monitored person monitoring system MS is arranged at an appropriate place according to the monitored person Ob (observed person). The monitored person Ob is, for example, a person who needs nursing due to illness or injury, a person who needs care due to a decrease in physical ability, or a single person living alone. In particular, from the viewpoint of enabling early detection and early action, the monitored person Ob may be a person who needs the detection when a predetermined inconvenient event such as an abnormal state occurs in the person. preferable. For this reason, the monitored person monitoring system MS is suitably arranged in a building such as a hospital, a welfare facility for the elderly, and a dwelling unit according to the type of the monitored person Ob. In the example illustrated in FIG. 1, the monitored person monitoring system MS is disposed in a building of a care facility that includes a plurality of rooms RM in which a plurality of monitored persons Ob live and a plurality of rooms such as a nurse station.

The sensor device SU has a communication function that communicates with other devices SV, SP, TA via the network NW, detects a predetermined event related to the monitored person Ob, and sends the detected event to the management server device SV. To the terminal devices SP and TA, generate an image including a moving image, and distribute the moving image to the terminal devices SP and TA. The predetermined event preferably includes an event that needs to be dealt with (responded).

FIG. 1 shows four first to fourth sensor devices SU-1 to SU-4 as an example, and the first sensor device SU-1 is one of the monitored persons Ob. The second sensor device SU-2 is arranged in a room RM-2 (not shown) of Mr. B Ob-2 who is one of the monitored persons Ob. The third sensor device SU-3 is disposed in the room RM-3 (not shown) of Mr. C Ob-3, one of the monitored subjects Ob, and the fourth sensor device SU-4 It is arranged in the room RM-4 (not shown) of Mr. D Ob-4, one of the monitored persons Ob.

The management server device SV has a communication function that communicates with other devices SU, SP, TA via the network NW, and receives a notification of a predetermined event related to the monitored person Ob from the sensor device SU. It is a device that manages information related to monitoring Ob (monitoring information). When the management server device SV receives the first event notification communication signal from the sensor device SU as the event notification, the management server device SV relates to the monitoring of the monitored person Ob based on each information accommodated in the first event notification communication signal. A predetermined terminal device that stores (records) monitoring information and associates a communication signal (second event notification communication signal) containing the monitoring information related to monitoring of the monitored person Ob in advance with the sensor device SU. Send to SP, TA. For this purpose, the management server device SV indicates the notification destination (re-notification destination, re-notification destination, transmission destination) such as the first event notification communication signal transmitted from the sensor device SU and the notification of the sensor ID that is the transmission source. A correspondence relationship (notification destination correspondence relationship) with a terminal (re-notification destination) terminal ID and a communication address thereof are stored. The terminal ID (terminal device identifier) is an identifier for identifying and identifying the terminal devices SP and TA. Then, the management server device SV provides the client with data corresponding to the request of the client (in this embodiment, the fixed terminal device SP and the portable terminal device TA). Such a management server device SV can be configured by, for example, a computer with a communication function.

The fixed terminal device SP includes a communication function for communicating with other devices SU, SV, TA via the network NW, a display function for displaying predetermined information, an input function for inputting predetermined instructions and data, and the like. By inputting predetermined instructions and data to be given to the management server device SV and the mobile terminal device TA, displaying the monitoring information obtained by the sensor device SU, etc., the user interface of the monitored person monitoring system MS ( A device that functions as a UI). Such a fixed terminal device SP can be configured by, for example, a computer with a communication function. The fixed terminal device SP as an example of the terminal device operates in the same manner as the mobile terminal device TA. However, in this specification, a mobile terminal device TA that is another example of the terminal device will be described.

The supervisor NS is carrying the portable terminal device TA. The mobile terminal device TA communicates with other devices SV, SP, SU via the network NW, a display function for displaying predetermined information, an input function for inputting predetermined instructions and data, and a voice call. A monitoring function (including moving images) obtained by the sensor device SU by inputting a predetermined instruction or data to be provided to the management server device SV or the sensor device SU, or by notification from the management server device SV. This is a device for displaying or making a nurse call response or calling by voice call with the sensor device SU.

The sensor device SU monitors the living body of the monitored person Ob in addition to the above-described functions (for example, a function of generating a moving image of the monitored person Ob and a function of performing a voice call with the terminal apparatuses SP and TA). It has a function. Therefore, the sensor device SU functions as a living body monitoring device. The sensor device SU will be described in detail from the viewpoint of this function. FIG. 2 is a schematic diagram showing a living room RM in which the sensor device SU is arranged. In the living room RM, the bed 1 of the monitored person Ob is provided. The bed 1 is a futon 5 laid on the bed 3. The bed 1 is not limited to this, and may be, for example, a futon 5 laid in a tatami mat or a futon 5 laid on the floor. FIG. 2 shows a state in which the monitored person Ob is sleeping on the bed 1, and only the head of the monitored person Ob appears in the body of the monitored person Ob. A sensor device SU is attached to the ceiling 7 of the living room RM.

FIG. 3 is a block diagram of the sensor device SU in the present embodiment. The sensor device SU includes an action detection unit 12 including an imaging unit 11, an acquisition unit 14 including a Doppler sensor 13, a sensor side control processing unit 15 (SU control processing unit), a sensor side communication interface unit 16 (SU communication IF unit), A body motion determination unit 17, a respiration rate calculation unit 18, and a heart rate calculation unit 19 are provided. In FIG. 2, among the blocks constituting the sensor device SU, the imaging unit 11 and the Doppler sensor 13 are shown, and the other blocks are omitted.

2 and 3, the imaging unit 11 is an apparatus that is connected to the SU control processing unit 15 and generates an image (image data) under the control of the SU control processing unit 15. The image includes a still image (still image data) and a moving image (moving image data). The imaging unit 11 is arranged so as to be able to monitor a space where the monitored person Ob is scheduled (location space, in the example shown in FIG. 1, the room RM of the installation location), and the above location space is taken as an imaging target. And image (image data) overlooking the imaging target is generated. Preferably, since there is a high probability that the entire monitored person can be imaged, the imaging unit 11 has a preset head on which the head of the monitored person Ob is located in the bed 1 of the monitored person Ob. It arrange | positions so that a to-be-photographed object can be imaged from right above a plan position (usually arrangement | positioning position of a pillow). The sensor device SU uses the imaging unit 11 to acquire an image of the monitored person Ob taken from above the monitored person Ob, preferably an image taken from directly above the planned head position.

Such an imaging unit 11 may be a device that generates an image of visible light, but in the present embodiment, it is a device that generates an infrared image so that the monitored person Ob can be monitored even in a relatively dark place. . For example, in this embodiment, the imaging unit 11 has an imaging optical system that forms an infrared optical image of an imaging target on a predetermined imaging surface, and a light receiving surface that matches the imaging surface. An image sensor that is arranged and converts an infrared optical image in the imaging target into an electrical signal, and image data that represents an infrared image in the imaging target by performing image processing on the output of the image sensor It is a digital infrared camera provided with the image processing part etc. which produce | generate. In the present embodiment, the imaging optical system of the imaging unit 11 is preferably a wide-angle optical system (so-called wide-angle lens (including a fisheye lens)) having an angle of view that can image the entire living room RM in which the imaging unit 11 is disposed. .

Referring to FIG. 2, the Doppler sensor 13 is an example of a sensor that measures a biological signal of the monitored person Ob without contact. The Doppler sensor 13 is a body motion sensor that transmits a transmission wave, receives a reflected wave of the transmission wave reflected by an object, and outputs a Doppler signal having a Doppler frequency component based on the transmission wave and the reflected wave. When the object is moving, the frequency of the reflected wave is shifted in proportion to the moving speed of the object due to the so-called Doppler effect, so that a difference (Doppler frequency component) occurs between the frequency of the transmitted wave and the frequency of the reflected wave. The Doppler sensor 13 generates a Doppler frequency component signal as a Doppler signal. The transmission wave may be an ultrasonic wave or a microwave, but in the present embodiment, it is a microwave. Since the microwave can be transmitted through the clothing and reflected from the body surface of the monitored person Ob, the movement of the body surface can be detected even when the monitored person Ob is wearing clothes.

When the object is a sleeping person, the Doppler signal generated by the Doppler sensor 13 becomes a biological signal, and based on the Doppler signal, the body movement of the sleeping person (body movement is a rollover, limbs It is widely known that respiratory rate and heart rate can be detected. The frequency component of the Doppler signal includes a frequency component indicating respiration and a frequency component indicating heart rate. Based on these, the respiration rate and heart rate can be calculated. Since the output value of the Doppler signal when the body motion occurs is larger than the output value of the Doppler signal when the body motion does not occur, the body motion can be detected based on this.

The measurement range R1 of the Doppler sensor 13 is a range in which the transmission wave radiated by the Doppler sensor 13 can irradiate the monitored person Ob sleeping on the bed 1. The imaging range R2 of the imaging unit 11 is a range wider than the bed 1 including the bed 1. As described later, this is for detecting the floor, fall, and fall of the monitored person Ob. The imaging range R2 includes the measurement range R1 and is wider than the measurement range R1.

In FIG. 2, the imaging unit 11 and the Doppler sensor 13 are in operation. A dotted line extending from the imaging unit 11 is a virtual line that defines the imaging range R 2 of the imaging unit 11. A dotted line extending from the Doppler sensor 13 is a virtual line that defines the measurement range R 1 of the Doppler sensor 13.

The Doppler sensor 13 is installed on the ceiling 7 above the bed 3 used by the monitored person Ob. The installation location of the Doppler sensor 13 is not limited to this, and the Doppler sensor 13 may be installed, for example, under the mat of the bed 3 used by the monitored person Ob.

1 and 3, the SU communication IF unit 16 is a communication circuit that is connected to the SU control processing unit 15 and performs communication in accordance with the control of the SU control processing unit 15. The SU communication IF unit 16 generates a communication signal containing data to be transferred input from the SU control processing unit 15 in accordance with a communication protocol used in the network NW of the monitored person monitoring system MS, and the generated communication The signal is transmitted to other devices SV, SP, and TA via the network NW. The SU communication IF unit 16 receives communication signals from other devices SV, SP, and TA via the network NW, extracts data from the received communication signals, and the SU control processing unit 15 can process the extracted data. The data is converted into data in a proper format and output to the SU control processing unit 15. The SU communication IF unit 16 includes, for example, a communication interface circuit that complies with the IEEE 802.11 standard or the like.

The SU control processing unit 15 controls each unit of the sensor device SU according to the function of each unit, detects a predetermined event related to the monitored person Ob, and notifies the management server device SV of the detected event. This is a device for performing a voice call with the terminal devices SP and TA, generating an image including a moving image, and distributing the moving image to the terminal devices SP and TA. The SU control processing unit 15 is a computer realized by, for example, a CPU (Central Processing Unit), a RAM (Random Access Memory), a ROM (Read Only Memory), and the like.

Referring to FIG. 2 and FIG. 3, the behavior detection unit 12 is an example of a detection unit. The detection unit includes the imaging unit 11, and the monitored person Ob gets up, the monitored person Ob leaves the bed 1, the monitored person Ob falls from the bed 1, and the monitored person Ob At least one of the fallen falls is detected.

The behavior detection unit 12 detects a predetermined behavior set in advance in the monitored person Ob and notifies the management server device SV of a detection result as an example of the predetermined event. More specifically, in the present embodiment, the predetermined action is, for example, when the monitored person Ob has woken up, the monitored person Ob has left the bed 1, or the monitored person Ob has fallen from the bed 1. These are four actions of falling and falling when the monitored person Ob falls. And the action detection part 12 detects the head of the monitoring subject Ob based on the target image imaged with the imaging part 11, for example, and based on the time change of the magnitude | size in this detected head of the monitoring person Ob. Then, the monitored person Ob is detected from rising, leaving, falling, and falling.

More specifically, the location area of the bed 1, the first threshold value Th 1 for identifying the size of the head in the lying posture and the size of the head in the sitting posture in the location area of the bed 1, and the location area of the bed 1 are excluded. The second threshold Th2 for identifying whether the head is in the standing posture in the living room RM, and the size of the head in the lying posture in the living room RM excluding the region where the bed 1 is located. A third threshold Th3 for identifying whether or not there is is stored in the action detection unit 12 in advance. Then, the behavior detection unit 12 extracts a moving body region as a person's region of the monitored person Ob from the target image, for example, by a background difference method or a frame difference method, and from the extracted moving body region, for example, a circular or elliptical Hough transform The head region of the monitored person Ob is extracted by, for example, pattern matching using a head model prepared in advance, or by a neural network learned for head detection, for example. Detects getting up, getting out of bed, falling and falling from the position and size.

For example, the behavior detection unit 12 determines that the position of the extracted head is within the location area of the bed 1 and the size of the extracted head is determined from the size of the lying posture by using the first threshold Th1. When the time changes to the size of the sitting posture, it is determined that the user is getting up and the rising is detected. For example, the behavior detection unit 12 is a case where the position of the extracted head changes over time from the location area of the bed 1 to the outside area of the bed 1, and the size of the extracted head is the second size. When the time Th is changed from a certain size to the size of the standing posture by using the threshold Th2, it is determined that the user has left the bed and the bed is detected. For example, the behavior detecting unit 12 is a case where the position of the extracted head changes over time from the location area of the bed 1 to the outside of the location area of the bed 1, and the size of the extracted head is the third size. When the threshold Th3 is used and the time changes from a certain size to the size of the lying posture, it is determined that the vehicle has fallen, and the fall is detected. For example, the action detection unit 12 has the extracted head position in the living room RM excluding the location area of the bed 1 and the size of the extracted head is determined by using the third threshold Th3. When the time changes from the size to the size of the recumbent posture, it is determined that the vehicle has fallen, and the fall is detected. Note that the lying posture is not limited to a lying posture, but includes a supine posture and a prone posture.

When the predetermined behavior is detected in this way, the behavior detection unit 12 notifies the event containing event information (event information) representing the content of the predetermined event (event) related to the monitored person Ob. The first event notification communication signal is notified to the management server device SV by the SU communication IF unit 16. More specifically, the behavior detection unit 12 includes a communication signal (first event notification communication signal) containing a sensor ID of the own device, event information indicating the content of the event, and a target image used for detection of the predetermined behavior. Is transmitted to the management server device SV via the SU communication IF unit 16. In the present embodiment, the event information is one or more of getting up, getting out of bed, falling, falling, and nurse call (NC). Here, the behavior detecting unit 12 detects the getting up, getting out of bed, falling, and falling. Are accommodated in the first event notification communication signal as the event information. The image may be at least one of a still image and a moving image. In the present embodiment, first, the still image is notified and the moving image is distributed in response to a user request.

The behavior detection unit 12 is an example of a determination unit. The determination unit includes an imaging unit 11 that captures a predetermined range (imaging range R2) including the bed 1, performs predetermined image processing on the image captured by the imaging unit 11, and the monitored person Ob is placed on the bed 1. It is determined whether or not. More specifically, FIG. 4 is a schematic diagram illustrating an example in the case where the monitored person Ob is not in the bed 1 in the living room RM in which the sensor device SU is arranged. In FIG. 4, the imaging unit 11 is operating, and the Doppler sensor 13 is not operating. From the imaging part 11, the virtual line shown with a dotted line has come out. From the Doppler sensor 13, the virtual line shown with a dotted line does not come out. FIG. 2 is a schematic diagram illustrating an example when the monitored person Ob is on the bed 1. In FIG. 2, the imaging unit 11 and the Doppler sensor 13 are operating.

The behavior detection unit 12 determines that the extracted head position is within the location area of the bed 1 and the extracted head size is the size of the lying posture by using the first threshold Th1. It is determined that the monitored person Ob is in the bed 1. In other cases, the behavior detection unit 12 determines that the monitored person Ob is not on the bed 1. That is, the behavior detection unit 12 determines that the monitored person Ob is on the bed 1 if the monitored person Ob is in the bed 1 (FIG. 2), and otherwise (FIG. 4). It is determined that the observer Ob is not on the bed 1.

The behavior detection unit 12 determines that the monitored person Ob is in the bed 1 if the monitored person Ob is in the sitting position or the lying position in the bed 1, and otherwise, the monitored person Ob is in the bed. It may be determined that the number is not 1. Whether or not the monitored person Ob is in the sitting position on the bed 1 is determined as follows. When the action detection unit 12 determines that the extracted head position is within the location area of the bed 1 and the extracted head size is the size of the sitting posture by using the first threshold Th1. The monitored person Ob determines the sitting posture on the bed 1.

Referring to FIGS. 2 and 3, acquisition unit 14 includes Doppler sensor 13, and performs determination by behavior detection unit 12 (an example of a determination unit) that monitored person Ob is in bed 1 and determination that bed 1 is not in bed 1. Based on this, a biological signal (Doppler signal in this embodiment) of the monitored person Ob in the bed 1 is acquired.

FIG. 5 is an explanatory diagram for explaining the acquisition of the biological signal by the acquisition unit 14. The acquisition unit 14 starts the measurement of the biological signal by the Doppler sensor 13 at the timing when the determination by the behavior detection unit 12 that the monitored person Ob is not in the bed 1 has changed to the determination in the bed 1, and is monitored by the behavior detection unit 12. The measurement of the biological signal by the Doppler sensor 13 is ended at a timing when the determination that the person Ob is in the bed 1 is changed to the determination that the person Ob is not in the bed 1.

According to the acquisition unit 14, it is not necessary to always operate the Doppler sensor 13. A modification of the acquisition unit 14 will be described. In this modified example, the Doppler sensor 13 is always operated, the Doppler signal generated by the Doppler sensor 13 is stored, and the timing at which the determination that the monitored object Ob is not in the bed 1 is changed to the determination in the bed 1 is made. The Doppler signal between the determination that the person Ob is in the bed 1 and the timing when the determination is made that the person Ob is not in the bed 1 is acquired as the biological signal of the monitored person Ob in the bed 1.

Referring to FIG. 3, the body movement determination unit 17 determines the body movement of the monitored person Ob based on the biological signal (Doppler signal) acquired by the acquisition unit 14. The respiration rate calculation unit 18 calculates the respiration rate of the monitored person Ob based on the biological signal (Doppler signal) acquired by the acquisition unit 14. The heart rate calculation unit 19 calculates the heart rate of the monitored person Ob based on the biological signal (Doppler signal) acquired by the acquisition unit 14. These can all be realized by a known technique.

The sensor device SU determines whether the monitored person Ob is in a sleeping state or a wakeful state based on the body movement determined by the body movement determining unit 17, and based on this, determines the sleep time of the monitored person Ob. You may provide the sleep time measurement part to measure. More specifically, when the amplitude of the biological signal (Doppler signal) acquired by the acquisition unit 14 exceeds a predetermined first threshold, the sleep time measurement unit determines that it is a body movement. The sleep time measurement unit integrates the number of times determined as body movement in a unit time (for example, 10 seconds). The sleep time measurement unit determines that the state is awake when the integrated value exceeds a predetermined second threshold, and determines the sleep state when the integrated value is equal to or less than the second threshold. The sleep time measurement unit measures the sleep time based on these.

The sensor device SU may include a sleep diary creation unit that creates a sleep diary of the monitored person Ob (for example, a graph indicating a daily sleep time zone and an awakening time zone) based on the measured sleep time. . The sensor device SU may include a disease prediction unit that predicts a specific disease based on the respiration rate calculated by the respiration rate calculation unit 18 and the heart rate calculated by the heart rate calculation unit 19. These can all be realized by a known technique.

The sleep time measured by the sleep time measurement unit, the sleep diary created by the sleep diary creation unit, and the disease predicted by the disease prediction unit can be displayed on the terminal (fixed terminal device SP, portable terminal device TA). . An explanation will be given by taking sleep time as an example. With reference to FIGS. 1 and 3, the sensor device SU uses the SU communication IF unit 16 to transmit sleep time data indicating the measured sleep time to the management server device SV. The management server device SV records the received sleep time data, and transmits the sleep time data to the requested terminal in response to a request from the terminal (fixed terminal device SP, portable terminal device TA). The terminal receives the sleep time data and displays the sleep time. These can all be realized by known techniques. *

The operation of acquiring a biological signal by the sensor device SU (biological monitoring device) in the present embodiment will be described. FIG. 6 is a flowchart for explaining this operation. It is assumed that the monitored person Ob is not in the bed 1 at the beginning.

3, 4 and 6, the imaging unit 11 provided in the sensor device SU is in operation, and the Doppler sensor 13 is not in operation. The behavior detection unit 12 determines whether or not the monitored person Ob is in the bed 1 (step S1). When the behavior detection unit 12 determines that the monitored person Ob is not on the bed 1 (No in step S1), the behavior detection unit 12 repeats the process of step S1.

2, 3, and 6, when the behavior detection unit 12 determines that the monitored person Ob is on the bed 1 (Yes in Step S 1), the acquisition unit 14 operates the Doppler sensor 13. Thereby, the Doppler sensor 13 starts measurement of a biological signal (step S2).

The behavior detection unit 12 determines whether or not the monitored person Ob is in the bed 1 (step S3). When the behavior detection unit 12 determines that the monitored person Ob is in the bed 1 (Yes in Step S3), the Doppler sensor 13 continues the measurement of the biological signal (Step S4). And the action detection part 12 processes step S3.

3, 4, and 6, when the behavior detection unit 12 determines that the monitored person Ob is not on the bed 1 (No in step S 3), the acquisition unit 14 stops the Doppler sensor 13. Thereby, the Doppler sensor 13 ends the measurement of the biological signal (step S5). And the action detection part 12 processes step S1.

The main effect of this embodiment will be described. With reference to FIG.3 and FIG.5, the Doppler sensor 13 starts the measurement of a biological signal at the timing changed from the determination that the monitored person Ob is not in the bed 1 to the determination in the bed 1 by the behavior detection unit 12, The measurement of the biological signal is finished at the timing when the behavior detection unit 12 changes from the determination that the monitored person Ob is in the bed 1 to the determination that it is not in the bed 1. Therefore, according to this embodiment, the biological signal of the monitored person Ob in the bed 1 can be automatically measured.

With reference to FIG. 3, the detection unit that detects the rising, leaving, falling, and falling of the monitored person Ob and the determination unit that determines whether the monitored person Ob is in the bed 1 share the imaging unit 11. is doing. Therefore, according to the present embodiment, the size of the sensor device SU (biological monitoring device) can be reduced, and the cost can be reduced.

(Summary of embodiment)
The biological monitoring apparatus according to the embodiment includes a determination unit that determines whether or not a monitored person to be monitored is in the bed, and the biological signal of the monitored person in a non-contact manner with respect to the monitored person in the bed Acquisition of the biological signal of the monitored person who is in the bed based on the determination by the determination unit that the monitored person is in the bed and the determination that the monitored person is not in the bed A section.

The biological monitoring apparatus in the embodiment acquires the biological signal of the monitored person in the bed based on the determination by the determination unit based on the determination that the monitored person is in the bed and the determination that the monitored person is not in the bed. Can be measured automatically.

“Bedding” means, for example, a futon laid on a bed, a futon laid on a tatami mat, and a futon laid on the floor. That the monitored person is on the bed is not limited to the case where the monitored person is sleeping on the bed, and may be as long as the monitored person is resting on the bed (for example, the monitored person is sitting on the bed) ) The monitored person sleeping on the bed may be either when the monitored person is sleeping on the bed or not sleeping.

In the above configuration, the acquisition unit starts measurement by the sensor at a timing when the determination by the determination unit is changed from determination that the monitored person is not in the bed to determination that the monitored person is in the bed, and the monitored person by the determination unit The measurement by the sensor is terminated at a timing when the determination changes from the determination of being in the bed to the determination of not being in the bed.

This configuration is an example of an acquisition unit. According to this configuration, it is not necessary to always operate the sensor.

In the above configuration, the determination unit includes an imaging unit that captures a predetermined range including the bed, and performs predetermined image processing on the image captured by the imaging unit, so that the monitored person is in the bed Determine whether or not.

This configuration is an example of a determination unit.

In the above configuration, the living body monitoring apparatus includes the imaging unit, and the wake-up when the monitored person wakes up, the floor where the monitored person leaves the bed, the fall when the monitored person falls from the bed, It further includes a detection unit that detects at least one of the falls where the monitored person falls.

According to this configuration, the image pickup unit can be shared by the determination unit and the detection unit.

In the above configuration, the sensor is a Doppler sensor that generates a Doppler signal having a Doppler frequency component as the biological signal based on a transmission wave and a reflected wave of the transmission wave.

This configuration is an example of a sensor that can measure a biological signal of a monitored person without contact.

In the above configuration, the living body monitoring device further includes a body movement determining unit that determines body movement of the monitored person based on the biological signal, and a respiratory rate of the monitored person based on the biological signal. At least one of a respiration rate calculation unit for calculating the heart rate and a heart rate calculation unit for calculating the heart rate of the monitored person based on the biological signal.

According to this configuration, the biological information (body movement, respiratory rate, heart rate) of the monitored person can be obtained.

The biological monitoring method in the embodiment includes a determination step of determining whether or not a monitored person to be monitored is in a bed, and a biological signal of the monitored person in a non-contact manner with respect to the monitored person in the bed Using the sensor capable of measuring the biological signal of the monitored person in the bed based on the determination in the determining step that the monitored person is in the bed and the determination that the monitored person is not in the bed An acquisition step of acquiring.

The biological monitoring method in the embodiment defines the biological monitoring device in the embodiment from the viewpoint of the method, and has the same effects as the biological monitoring device in the embodiment.

This application is based on Japanese Patent Application No. 2016-114969 filed on June 9, 2016, the contents of which are included in this application.

In order to express the present invention, the present invention has been properly and fully described through the embodiments with reference to the drawings. However, those skilled in the art can easily change and / or improve the above-described embodiments. It should be recognized that this is possible. Therefore, unless the modifications or improvements implemented by those skilled in the art are at a level that departs from the scope of the claims recited in the claims, the modifications or improvements are not covered by the claims. To be construed as inclusive.

According to the present invention, a living body monitoring apparatus and a living body monitoring method can be provided.

Claims

A determination unit that determines whether the monitored person to be monitored is in the bed; and
A sensor capable of measuring the biological signal of the monitored person in a non-contact manner with respect to the monitored person who is in the bed, and determining by the determination unit that the monitored person is in the bed and determination that the monitored person is not in the bed And an acquisition unit that acquires the biological signal of the monitored person who is in the bed.
The acquisition unit starts measurement by the sensor at a timing when the determination by the determination unit is changed from determination that the monitored person is not in the bed to determination that the monitored person is in the bed, and the monitored person by the determination unit is placed on the bed The living body monitoring apparatus according to claim 1, wherein the measurement by the sensor is terminated at a timing when the determination is changed from being present to being determined not being on the bed.
The determination unit includes an imaging unit that captures a predetermined range including the bed, and performs predetermined image processing on an image captured by the imaging unit to determine whether the monitored person is on the bed. The living body monitoring apparatus according to claim 1 or 2.
The living body monitoring device includes the imaging unit, the wake-up of the monitored person, the leaving of the monitored person away from the bed, the falling of the monitored person falling from the sleeping bed, and the monitored person The living body monitoring device according to claim 3, further comprising a detection unit that detects at least one of the fallen falls.
The biological monitoring according to any one of claims 1 to 4, wherein the sensor is a Doppler sensor that generates a Doppler signal having a Doppler frequency component as the biological signal based on a transmission wave and a reflected wave of the transmission wave. apparatus.
The biological monitoring apparatus further includes a body movement determination unit that determines body movement of the monitored person based on the biological signal, and a breath that calculates a respiratory rate of the monitored person based on the biological signal. The living body according to any one of claims 1 to 5, further comprising at least one of a number calculating unit and a heart rate calculating unit that calculates a heart rate of the monitored person based on the biological signal. Monitoring device.
A determination step for determining whether the monitored person to be monitored is in the bed; and
A step of using a sensor capable of measuring the biological signal of the monitored person in a non-contact manner for the monitored person who is in the bed, wherein the determination by the determining step indicates that the monitored person is in the bed and the bed An acquisition step of acquiring the biological signal of the monitored person who is in the bed based on a determination that is not present.