WO2019130674A1

WO2019130674A1 - Abnormal behavior detection device, method, and system for nursing facility

Info

Publication number: WO2019130674A1
Application number: PCT/JP2018/033966
Authority: WO
Inventors: 宗司廣田
Original assignee: コニカミノルタ株式会社
Priority date: 2017-12-25
Filing date: 2018-09-13
Publication date: 2019-07-04
Also published as: JPWO2019130674A1

Abstract

An abnormal behavior detection device, an abnormal behavior detection method, and an abnormal behavior detection system for a nursing facility according to the present invention: acquire the behavior of a patient to be nursed; store the behavior in association with the acquisition time thereof in a storage unit; determine the presence or absence of an abnormality in the behavior of the patient to be nursed on the basis of a plurality of time-sequential behaviors, made in the past, of the patient to be nursed stored in the storage unit and a plurality of time-sequential behaviors, made most recently, of the patient to be nursed stored in the storage unit; and provide notification of the determination result to the outside.

Description

Behavioral anomaly detection apparatus for nursing home, method and system

The present invention relates to a behavioral abnormality detection device for a nursing care facility, a behavioral abnormality detection method for a nursing care facility, and a behavioral abnormality detection system for a nursing care facility, which detect behavioral abnormalities in a person to be cared for.

In recent years, with the rush of the super-aging society, techniques for complementing operations such as the nursing industry and the care industry have been researched and developed, and disclosed, for example, in Patent Document 1.

The care support system disclosed in the patent document 1 comprises a life pattern detection means for detecting a life pattern of a care recipient, and / or an independent activity measurement means for measuring the independence activity degree of the care recipient, and the life Living pattern storage means for storing the living pattern detected by the pattern detection means and / or independent activity degree storage means for storing the independent activity degree measured by the above-mentioned independent activity degree measuring means; A care state information input means for inputting care state information indicating a care state; a care state information storage means for storing the care state information input by the care state information input means; and physical information on the body of the care recipient Physical information input means, Physical information storage means for storing physical information input by the physical information input means, The life pattern Comprising a / or the independence activity, and evaluating means for evaluating the degree of recovery the care subject using said care state information and the body information, and output means for outputting the evaluation result by the evaluation means.

By the way, it is general that an abnormality to be detected in care is an event to be dealt with immediately, such as fall, fall or respiratory arrest. On the other hand, it is desirable to detect the onset of dementia early as it progresses by leaving it to stand. However, in early stages of dementia, daily behavioral changes are considered to be minimal, and no effective method has been proposed so far. The care support system disclosed in the patent document 1 is a system for evaluating the degree of recovery of a care recipient using at least one of the living pattern and the degree of independence activity, the care state information and the physical information, It is not a system to evaluate

JP, 2006-92257, A

The present invention is an invention made in view of the above-mentioned circumstances, and an object thereof is a behavior abnormality detecting apparatus for a nursing home, which can detect an abnormality of behavior suspected of having onset of dementia from daily behavior A behavioral abnormality detection method and a behavioral abnormality detection system for a nursing home are provided.

In order to realize the above-described object, a behavioral abnormality detection device for a care facility, a behavioral abnormality detection method for a care facility, and a behavioral abnormality detection system for a care facility, which reflect one aspect of the present invention Stored in the action information storage unit in association with the time of acquisition and stored in the action information storage unit in the past and stored in the action information storage unit, and the plurality of time-series actions of the care target and the action information storage unit The presence or absence of an abnormality in the action of the subject of care is determined based on the plurality of time-series actions of the subject of care stored in the step c, and the determination result is notified to the outside.

The advantages and features provided by one or more embodiments of the invention will be better understood from the detailed description given below and the accompanying drawings. These detailed descriptions and the accompanying drawings are given by way of example only and are not intended as a definition of the limits of the present invention.

It is a figure which shows the structure of the behavioral abnormality detection system for nursing homes in embodiment. It is a block diagram which shows the structure of the central-management apparatus (an example of an action abnormality detection apparatus for nursing homes) used for the said behavior abnormality detection system for nursing homes. It is a figure which shows the structure of the action information table memorize | stored in the said central management apparatus. It is a figure which shows the structure of the determination condition information table memorize | stored in the said central management apparatus. It is a figure which shows the structure of the advice information table memorize | stored in the said central management apparatus. It is a figure which shows the structure of the caregiver information table memorize | stored in the said central management apparatus. It is a flowchart which shows the operation | movement regarding behavioral abnormality determination in the said central management apparatus.

Hereinafter, one or more embodiments of the present invention will be described with reference to the drawings. However, the scope of the invention is not limited to the disclosed embodiments. In addition, the structure which attached | subjected the same code | symbol in each figure shows that it is the same structure, and abbreviate | omits the description suitably. In the present specification, suffixes are generally indicated by reference numerals without suffixes, and individual configurations are indicated by subscripts.

The behavioral abnormality detection system for a nursing care facility in the embodiment is a system for detecting a behavioral abnormality in the care recipient Ob who is a detection target, is provided corresponding to the care recipient Ob, and acquires the care recipient Ob's behavior. Central control that is connected communicably with the sensor device to manage the behavior of the care recipient Ob and determines the presence or absence of abnormality in the care recipient's behavior based on the care recipient Ob's behavior And a terminal device communicably connected to the central management device and outputting a determination result determined by the central management device. The central management apparatus includes an action abnormality detection device for a care facility according to an embodiment, and an acquisition unit for acquiring an action of a care recipient and an action of the care recipient acquired by the acquisition unit are associated with an acquisition time. The behavior information storage unit to be stored, a plurality of time-series actions of the care target person acquired in the past by the acquisition unit and stored in the behavior information storage unit, and the behavior information storage acquired most recently by the acquisition unit An abnormality determination unit that determines the presence or absence of an abnormality in the action of the care recipient based on a plurality of time-series actions of the care subject stored in the unit; and the determination result determined by the abnormality determination unit And a notification processing unit that notifies to. The behavioral abnormality detection device for a nursing care facility is based on a sensor that acquires the behavior of the care recipient Ob, or a sensor that acquires information (data) representing the behavior of the care recipient Ob and the information acquired by the sensor Although the action processing unit for obtaining the action of the care recipient Ob may be provided in the own machine itself, in the present embodiment, the action abnormality detection apparatus for a care facility is from the sensor device as an example of the external device. The interface unit for acquiring the action of the care recipient Ob, more specifically, the communication interface unit acquires the communication signal containing information (data) representing the action of the care recipient Ob. The central management apparatus may further include an output unit on its own device, and the notification processing unit may notify (notify) the determination result determined by the abnormality determination unit from the output unit. In the embodiment, the notification processing unit transmits the determination result determined by the abnormality determination unit to the terminal device, and notifies (notifies) the terminal device from the outside. The terminal device may be one type of device, but in the present embodiment, the terminal device is two types of devices: a fixed terminal device and a portable terminal device. The main difference between the fixed terminal device and the portable terminal device is that while the fixed terminal device is operated in a fixed manner, the portable terminal device is operated by being carried by, for example, a caregiver. Hereinafter, such a behavioral abnormality detection system for a care facility will be described more specifically.

FIG. 1 is a view showing the configuration of a behavioral abnormality detection system for a nursing home according to the embodiment. FIG. 2 is a block diagram showing a configuration of a central management apparatus (an example of a care facility behavior abnormality detection device) used for the care facility behavior abnormality detection system. FIG. 3 is a diagram showing the configuration of an action information table stored in the central management device. FIG. 4 is a diagram showing the configuration of a determination condition information table stored in the central management device. FIG. 5 is a diagram showing the configuration of an advice information table stored in the central management device. FIG. 6 is a diagram showing the configuration of a carer information table stored in the central management device.

For example, as shown in FIG. 1, the behavioral abnormality detection system MS for a care facility in the embodiment includes one or more sensor devices SU (SU-1 to SU-4), a central management device SV, and a fixed terminal device SP. , One or more portable terminal devices TA (TA-1 and TA-2), and a private branch exchange (PBX) CX, which may be wired or wireless, LAN (Local Area Network), etc. Are communicably connected via a network (network, communication line) NW. The network NW may be provided with relays such as repeaters, bridges and routers for relaying communication signals. In the example shown in FIG. 1, the plurality of sensor devices SU-1 to SU-4, the central management device SV, the fixed terminal device SP, the plurality of portable terminal devices TA-1 and TA-2, and the private branch exchange CX are L2 switches. Are connected communicably to each other by a wired / wireless mixed LAN (for example, a LAN according to the IEEE 802.11 standard) NW including the line concentrators (hub, HUB) LS and the access point AP. More specifically, the plurality of sensor devices SU-1 to SU-4, the central management device SV, the fixed terminal device SP, and the private branch exchange CX are connected to the concentrator LS, and the plurality of mobile terminal devices TA-1 and TA-2 Are connected to the concentrator LS via the access point AP. Then, the network NW constructs a so-called intranet by using an internet protocol group such as a transmission control protocol (TCP) and an internet protocol (IP). The behavioral abnormality detection system MS for a care facility is disposed in a building of a care facility provided with a plurality of living rooms RM in which a plurality of care recipients Ob reside, and a plurality of living rooms such as a nurse station.

The sensor device SU includes a communication interface for communicating with the central management device SV via the network NW, a sensor for acquiring the behavior of the care recipient Ob, and a microcomputer for controlling these, etc. The action of the care recipient Ob is transmitted to the central management device SV via the network NW by the communication interface.

The sensor is preferably a device that acquires the action of the care recipient Ob in a non-contact manner with the care recipient Ob. For example, in the present embodiment, the sensor is a camera that generates an image (image data). Since the action of the care recipient Ob is acquired without contact, the action of the care recipient Ob can be acquired without the restraint of the care subject Ob. The image may be a still image (still image data), may be a moving image (moving image data), or may be a still image (still image data) and a moving image (moving image data). The camera is arranged to be able to monitor the space where the care recipient Ob who is to detect behavioral abnormality is planning to be located (location space; room RM in the arrangement location in the example shown in FIG. 1); The location space is imaged as an imaging target from the upper side, and an image (image data) in which the imaging target is viewed is generated. Preferably, the camera is scheduled to locate the head of the care recipient Ob in the bedding (eg, bed, etc.) on which the care recipient Ob lays, since it is highly probable that the whole care recipient Ob can be imaged. It is disposed so as to be able to pick up an image pickup target from directly above a predetermined head planned position (usually, a position where a pillow is provided) or from the center position of the ceiling surface in the living room RM. The sensor device SU acquires an image obtained by imaging the care recipient Ob from above the care recipient Ob, preferably an image taken from directly above the planned head position or at the center position of the ceiling surface, using the camera. .

Such a camera 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 care recipient Ob can be monitored even in the dark. Such a camera, for example, in the present embodiment, is an imaging optical system for forming an infrared optical image of an imaging object on a predetermined imaging surface, and is disposed with the light receiving surface aligned with the imaging surface. And an area image sensor that converts an infrared optical image of the imaging target into an electrical signal, and an image that is data representing an infrared image of the imaging target by performing image processing on an output of the area image sensor. A digital infrared camera including an image processing unit that generates data. In the present embodiment, the imaging optical system is preferably a wide-angle optical system (a so-called wide-angle lens (including a fisheye lens)) having an angle of view capable of imaging the entire living room RM provided.

The sensor is not limited to the camera, and may be a device that senses and acquires the action of the care recipient Ob. For example, a distance image generation device (distance image sensor) that generates a distance image Alternatively, the thermography (heat distribution (temperature distribution) image) may be a thermography device. These distance image generation devices (distance image sensors) and thermographic devices are also preferable because they can acquire the behavior of the care recipient Ob in a non-contact manner, and are thus preferable.

The sensor device SU transmits a communication signal containing the action of the care recipient Ob acquired by the sensor to the central management device SV via the communication interface. More specifically, the sensor device SU generates an image (image data) of an imaging target with the camera at predetermined time intervals, and the generated image (image data), the image as an example of action time A communication signal containing the time of image generation for generating the time of image generation and the sensor ID of the own machine is transmitted to the central management device SV by the communication interface. The sensor ID is an identifier for identifying a sensor device SU and identifying the sensor device SU. The communication signal may contain one image generated at predetermined time intervals, or the communication signal may be generated at predetermined time intervals to reduce communication traffic. Multiple images may be accommodated.

In FIG. 1, as an example, first to fourth sensor devices SU-1 to SU-4 are shown, and the first sensor device SU-1 is one of Mr. A, who is one of the care recipient Ob. The second sensor device SU-2 is disposed in the living room RM-2 (not shown) of Mr. B Ob-2 who is one of the care recipient Ob, and is disposed in the living room RM-1 (not shown) of the The third sensor device SU-3 is disposed in a room RM-3 (not shown) of Mr. C's Ob-3 who is one of the care recipient Ob, and the fourth sensor device SU-4 is a care recipient person. It is arranged in the room RM-4 (not shown) of Mr. D's Ob-4 who is one of the Obs.

The central management device SV centrally manages the care facility behavior abnormality detection system MS, includes the care facility behavior abnormality detection device, and is an example of the care facility behavior abnormality detection device. The central management device SV including the behavior abnormality detection device for a nursing care facility has a communication function of communicating with other devices SU, TA, and SP via the network NW, and receives the communication signal from the sensor device SU, the care target The action of the person Ob is managed, and the presence or absence of abnormality in the action of the care recipient Ob is determined based on the action of the care recipient Ob. For example, as illustrated in FIG. 2, such a central management device SV includes a communication interface unit (communication IF unit) 21, a control processing unit 22, and a storage unit 23.

The communication IF unit 21 is a communication circuit connected to the control processing unit 22 and performing communication in accordance with the control of the control processing unit 22. The communication IF unit 21 generates a communication signal containing the data to be transferred input from the control processing unit 22 according to the communication protocol used in the network NW of the care facility behavior abnormality detection system MS, and the generated communication The signal is transmitted to the other devices SU, SP, TA via the network NW. The communication IF unit 21 receives communication signals from the other devices SU, SP, and TA via the network NW, extracts data from the received communication signals, and allows the control processing unit 22 to process the extracted data. Data to the control processing unit 22. The communication IF unit 21 includes, for example, a communication interface circuit conforming to the IEEE 802.11 standard or the like.

The storage unit 23 is a circuit that is connected to the control processing unit 22 and stores various predetermined programs and various predetermined data according to the control of the control processing unit 22. The various predetermined programs include, for example, control programs for controlling the

respective units

21 and 23 of the central management device SV according to the functions of the

respective units

21 and 23, and the care recipient Ob contained in the communication signal. Information (data) representing the action of the subject, and in the present embodiment, an action processing program for obtaining the action of the care recipient Ob based on an image (image data), or a memory obtained by the communication IF unit 21 and stored in the storage unit 23 The care target is based on a plurality of time-series actions in the subject care recipient Ob and a plurality of time-sequential actions in the care subject Ob that are most recently acquired by the communication IF unit 21 and stored in the storage unit 23 Includes an abnormality determination program that determines the presence or absence of an abnormality in the behavior of the person Ob, a notification processing program that externally notifies the determination result determined by the abnormality determination program, and the like. It is. The various predetermined data includes a server identifier (server ID) for identifying the central management device SV and identifying the central management device SV, the communication address of the sensor device SV, the communication address of the terminal devices SP and TA, , Room name / Sensor ID correspondence information indicating the correspondence between the name of the room RM and the sensor ID of the sensor device SU disposed in the room RM, the action information of the care recipient Ob, the action of the care recipient Ob Judgment condition information representing the judgment condition used when judging the presence or absence of abnormality in the subject, advice information representing the advice presented when there is an abnormality in the behavior, or carer information on the care recipient Ob Data required to execute each program, such as information representing the attribute of The storage unit 23 includes, for example, a ROM (Read Only Memory), which is a nonvolatile storage element, and an EEPROM (Electrically Erasable Programmable Read Only Memory), which is a rewritable nonvolatile storage element. The storage unit 23 includes, for example, a random access memory (RAM) serving as a working memory of the control processing unit 22 that stores data and the like generated during execution of the predetermined program. The storage unit 23 may further include a hard disk drive (HDD) to store relatively large-capacity data. The storage unit 23 stores the behavior information storage unit 231, the determination condition information storage unit 232, the advice information storage unit 233, and the caregiver information storage unit in order to store each of the behavior information, the determination condition information, the advice information, and the caregiver information. 234 is functionally provided.

The action information storage unit 231 stores action information indicating an action of the care recipient Ob. When there are a plurality of care recipients Ob (when there are a plurality of sensor devices SU), the behavior information storage unit 231 corresponds to each of a plurality of care recipients Ob (a plurality of sensor devices SU, a plurality of sensor IDs) And store the action information. In the present embodiment, the action of the care recipient Ob is represented by the moving speed (walking speed), and is stored in the action information storage unit 231 in a table format in association with the care subject Ob.

The action information table AT for registering the action information is, for example, as shown in FIG. 3, a plurality of action information tables associated with each of a plurality of care recipients Ob (a plurality of sensor devices SU, a plurality of sensor IDs). It comprises AT-1, AT-2, AT-3, and so on. The plurality of action information tables AT-1, AT-2, AT-3,... Have the same configuration, and include an action time field 2311, a position field 2312 and an action (moving speed) field 2313, respectively. Prepare. In the action time field 231, the time when the care recipient Ob acted, and in this embodiment, the generation time of the image accommodated in the communication signal is registered in the year, month, day, hour, minute and second. Since the action of the care recipient Ob is represented by the moving speed (walking speed), the position of the care subject Ob at the action time registered in the action time field 2311 is registered in the position field 2312 and the action is performed. In the (moving speed) field 2313, the moving speed (walking speed) of the care recipient Ob at the action time registered in the action time field 2311 is registered. Each of the plurality of action information tables AT-1, AT-2, AT-3,... Has a record for each action time.

The determination condition information storage unit 232 stores the determination condition information representing the determination condition used when determining the presence or absence of an abnormality in the action of the care recipient Ob. In the present embodiment, the determination condition includes, for example, a first determination period (past determination period), a second determination period (current determination period), and a threshold for determining the presence or absence of abnormality. In the first determination period (the determination period in the past), a plurality of time-series actions (movement speed in the present embodiment) in the care recipient Ob that are acquired by the communication IF unit 21 and stored in the action information storage unit 231 in the past Represents the range from which to take out. In the second determination period (the current determination period), a plurality of time-series actions (movement speed in the present embodiment) in the care recipient Ob that are acquired by the communication IF unit 21 and stored in the behavior information storage unit 231 most recently. Represents the range from which to take out. For example, by setting the second determination period to a period different from the first determination period, it is possible to more clearly determine continuously changing behavior. In particular, it is preferable that the first determination period is longer than the second determination period, from the viewpoint that behavior change in dementia is likely to change rapidly as the disease becomes severer. The first determination period is appropriately preset, for example, half a year or one year, and the second determination period is appropriately preset, for example, one week or one month. The determination condition may be prepared in advance in a single piece, but in the present embodiment, a plurality of the determination conditions are prepared in advance according to the attributes of the care recipient Ob, such as age, sex, degree of need of nursing care, etc. In the present embodiment, such a plurality of determination conditions are stored in the determination condition information storage unit 232 in a table format.

For example, as shown in FIG. 4, the determination condition information table DT for registering a plurality of determination conditions includes a gender field 2321, an age field 2322, a degree-of-care requiring field 2323, a threshold field 2324, and a first determination period. A field 2325 and a second determination period field 2326 are provided, and a record is provided for each of the plurality of determination conditions (combination of the attributes of the care recipient Ob). The gender as one of the attributes of the care recipient Ob is registered in the gender field 2321. In the age field 2322, the age as another one of the attributes of the care recipient Ob is registered. The degree-of-care need as another one of the attributes of the care recipient Ob is registered in the degree-of-care need field 2323. In the threshold field 2324, the sex registered in the gender field 2321, the age registered in the age field 2322, and the threshold in the case of the degree of need-for-care registered in the degree-of-care need field 2323 are registered. In the first determination period field 2325, the sex registered in the gender field 2321, the age registered in the age field 2322, and the first determination period in the case of the degree of need of nursing care registered in the degree of needing care field 2323 are registered. Be done. In the second determination period field 2326, the sex registered in the gender field 2321, the age registered in the age field 2322, and the second determination period for the degree of need of nursing care registered in the degree of needing care field 2323 are registered. Be done.

In the above description, the threshold, the first determination period, and the second determination period are classified by a combination of sex, age and degree of need of nursing care, but among sex, age, degree of needing care, height, weight and underlying disease May be classified in part or all of the combinations.

The determination condition information storage unit 232 corresponds to an example of a determination period information storage unit that stores predetermined first and second determination periods.

The advice information storage unit 233 stores advice information representing an advice presented when there is an abnormality in the behavior. One piece of the advice may be prepared in advance, but in the present embodiment, a plurality of pieces of advice are prepared in advance according to the attributes of the care recipient Ob, such as age, sex, degree of need of nursing care, and the like. In the present embodiment, such a plurality of advices are stored in the advice information storage unit 233 in a table format.

The advice information table AdT for registering a plurality of advices includes, for example, as shown in FIG. 5, a sex field 2331, an age field 2332, a degree-of-care required field 2333 and an advice field 2334. There is a record for each (combination of attributes of the care recipient Ob). In the gender field 2331, the gender as one of the attributes of the care recipient Ob is registered. In the age field 2332, the age as another one of the attributes of the care recipient Ob is registered. The degree-of-care need as another one of the attributes of the care recipient Ob is registered in the degree-of-care need field 2333. In the advice field 2334, the sex registered in the gender field 2331, the age registered in the age field 2332, and the advice in the case of the degree of need of nursing care registered in the degree of needed care field 2333 are registered. In the advice field 2334, for example, as the advice, the text of the advice may be registered as text, and the file name of the electronic file of the text of the advice may be registered. In the present embodiment, since the action of the care recipient Ob is the moving speed (walking speed), for example, “the walking speed is reduced. Since there is a risk of falling, the walking training is started. Please, etc.

In the above, the advice is classified by the combination of gender, age and degree of need for nursing care, but it is classified according to the combination of sex, age, degree of care requiring need, height, weight and some or all of the basic diseases. It is good.

The caregiver information storage unit 234 stores caregiver information (information representing the attribute of the care recipient Ob) regarding the care recipient Ob. The carer information is, for example, the name, room name, sex, age, height, weight of a carer, etc. in the present embodiment, and is stored in the carer information storage unit 234 in a table format in the present embodiment. Ru.

For example, as shown in FIG. 6, the carer information table RT for registering this carer information includes a name field 2341, a room name field 2342, a sex field 2343, an age field 2344, a height field 2345, and a weight A field 2346 and a degree-of-care requiring field 2347 are provided, and each care recipient Ob has a record. In the name field 2341, the name of the care recipient Ob is registered. In the room name field 2342, the name of the room RM in which the care recipient Ob having the name registered in the name field 2341 is registered is registered. The gender, age, height, weight and weight of the care recipient Ob having a name registered in the name field 2341 are stored in the gender field 2343, the age field 2344, the height field 2345, the weight field 2346 and the degree-of-care need field 2347 respectively. Each degree of need of nursing care is registered.

The control processing unit 22 controls each part of the central management device SV according to the function of each part, centrally manages the behavior abnormality detection system MS for a care facility, and receives the communication signal from the sensor device SU. It is a circuit for managing the action of the care recipient Ob and determining the presence or absence of abnormality in the action of the care recipient Ob based on the action of the care recipient Ob. The control processing unit 22 includes, for example, a CPU and its peripheral circuits. The control processing unit 22 functionally includes a control unit 221, an action processing unit 222, an abnormality determination unit 223, and a notification processing unit 224 when the control processing program is executed.

The control unit 221 controls the

respective units

21 and 23 of the central management device SV according to the functions of the

respective units

21 and 23, and controls the overall control of the central management device SV.

The action processing unit 222 obtains the action of the care recipient Ob based on information (data) representing the action of the care recipient Ob contained in the communication signal, and in the present embodiment, an image (image data). It is. In the present embodiment, since the action of the care recipient Ob is the moving speed (walking speed), the action processing unit 222 selects the care subject based on the image (image data) contained in the communication signal. Find the moving speed of Ob.

More specifically, the action processing unit 222 first extracts the area (person area) of the person of the care recipient Ob from the image (target image) contained in the communication signal, for example, by the background subtraction method. The position of the center of the person area is calculated as the position of the care recipient Ob. The center position of the person area is, for example, the center of a circumscribed circle circumscribing the person area, or, for example, an intersection of diagonals in a circumscribed rectangle circumscribing the person area. Next, the action processing unit 222 selects (searches) the action information table AT corresponding to the sensor ID contained in the communication signal from the action information storage unit 231, and the communication is performed from the selected action information table AT. Based on the action time (image generation time in this embodiment) contained in the signal, the position of the care recipient Ob and the previous action time obtained in the previous time are extracted. Next, the action processing unit 222 is accommodated in the position and the time of the previous action of the care recipient Ob obtained at the previous time, the position of the care subject Ob currently determined as described above, and the communication signal. The movement speed of the care recipient Ob is obtained from the current action time. Then, the action processing unit 222 adds a new record to the selected action information table AT, and the communication signal is added to each of the action time field 2311, the position field 2312 and the action (moving speed) field 2313 in the added record. The current action time stored in the current position, the current position and the moving speed obtained as described above are registered. As a result, the action of the care recipient Ob is stored in the action information storage unit 231.

When the distance image generation device (distance image sensor) is used instead of the camera as the sensor, for example, a person pattern representing a person on the distance image is prepared in advance, and care is taken by pattern matching. The person area of the subject person Ob is obtained. In addition, when the thermographic apparatus is used instead of the camera as the sensor, a heat distribution image (temperature distribution image) of background temperature is prepared, and the person area of the care recipient Ob is determined by the background subtraction method. Be In addition, a learning model machine-learned for person recognition may be prepared, and the person area of the care recipient Ob may be obtained by using this learning model.

The abnormality determination unit 223 is acquired by the communication IF unit 21 and stored in the storage unit 23 and a plurality of time-series actions in the care recipient Ob acquired by the communication IF unit 21 and stored in the storage unit 23 in the past The presence or absence of an abnormality in the behavior of the care recipient Ob is determined based on a plurality of time-series actions of the care recipient Ob. More specifically, the abnormality determination unit 223 determines a plurality of time-series actions in the care recipient Ob that are acquired by the communication IF unit 21 and stored in the behavior information storage unit 231 within the first determination period from the past time point The action of the care recipient Ob based on a plurality of time-series actions in the care recipient Ob that are acquired by the communication IF unit 21 and stored in the action information storage unit 231 within the second determination period from the most recent time point Determine the presence or absence of an abnormality in The past time points are appropriately preset, for example, one month ago, three months ago, six months ago, and one year ago from the present time. The most recent time is the current time. Furthermore, more specifically, in the present embodiment, the abnormality determination unit 223 determines a first value obtained by performing statistical processing on the plurality of time-series actions in the past, and the time-series in the latest state. The presence or absence of abnormality in the action of the care recipient Ob is determined by comparing a difference value with a second value obtained by performing the statistical processing on a plurality of actions with a predetermined threshold. The statistical process may be, for example, a process of obtaining an average value, or may be, for example, a process of obtaining a mode value, or may be, for example, a process of obtaining a variance value. It may be a process of obtaining, or may be, for example, a process of obtaining a skewness, or may be, for example, a process of obtaining a kurtosis. In the present embodiment, the statistical process is, for example, a process of obtaining an average value, and the abnormality determination unit 223 obtains, as the first value, a first average value for the plurality of time-series moving speeds in the past. A second average value for the plurality of time-series moving speeds at the latest is obtained as the second value, a difference value between the first average value and the second average value is obtained, and the obtained difference value and a predetermined threshold value The presence or absence of an abnormality in the action of the care recipient Ob is determined by comparing with.

More specifically, the abnormality determination unit 223 first extracts the age, sex, and the degree of need of nursing care corresponding to the name of the care recipient Ob to be determined from the carer information table RT, and from the determination condition information table DT, The threshold value corresponding to the extracted age, sex, and the degree of need of nursing care, a first determination period and a second determination period are extracted. Next, the abnormality determination unit 223 selects, from the behavior information storage unit 231, the behavior information table AT corresponding to the name of the care recipient Ob to be determined, and from the selected behavior information table AT, 1 Moving speed within the judgment period is extracted, a first average value is obtained, and moving speed within the second judgment period from the most recent time point is extracted from the selected action information table AT, and a second average value is obtained. A difference value between these first and second average values is determined. Then, the abnormality determination unit 223 determines the presence or absence of an abnormality in the action of the care recipient by comparing the calculated difference value with the extracted threshold value. In the present embodiment, since the action of the care recipient Ob is the moving speed (walking speed), the abnormality determining unit 223 subtracts the second average value from the first average value of the moving speed. A difference value can be determined, and if the determined difference value exceeds the threshold, the movement speed is reduced by exceeding the threshold, so it is determined that there is an abnormality in the behavior, while the difference is determined If the value does not exceed the threshold (if the calculated difference value is equal to or less than the threshold), it is determined that there is no abnormality in the behavior.

In the above description, the action of the care recipient Ob is movement (walking) between predetermined two points (between predetermined two areas), and the first and second values are respectively the predetermined two points. It may be the first and second average values of the moving speed (walking speed) between (the predetermined two areas). The predetermined two points (predetermined two areas) are, for example, bedding and a toilet, and by referring to the position stored in the behavior information storage unit 231, the average moving speed (walking speed) between the bedding and the toilet The value is determined. Also, for example, the predetermined two points (predetermined two areas) are, for example, bedding and washroom facilities, and by referring to the position stored in the behavior information storage unit 231, the moving speed between the bedding and washroom facilities ( The average value of the walking speed is determined. Since the moving speed (walking speed) is specified as a speed between specific two points (between areas) where the relative frequency is relatively frequent, comparison between the past moving speed and the latest moving speed becomes more appropriate and more appropriate Can detect the presence or absence of abnormal behavior.

The notification processing unit 224 notifies the outside of the determination result determined by the abnormality determination unit 223. More specifically, in the present embodiment, for example, the notification processing unit 224 is a terminal device including a communication signal containing the name of the care recipient Ob to be determined and the determination result determined by the abnormality determination unit 223. Send to SP, TA by broadcast communication. Alternatively, the sensor device SU (sensor ID, care recipient Ob) and the terminal device SP or TA (terminal ID) of the notification destination are associated in advance, and the notification processing unit 224 determines the care target determined by the abnormality determination unit 223 The communication signal containing the determination result of the person Ob is transmitted to the terminal devices SP and TA of the notification destination associated with the sensor device SU disposed in the room RM of the care recipient Ob. The terminal ID is an identifier for identifying a terminal apparatus SP or TA and identifying the terminal apparatus SP or TA.

Then, in the present embodiment, the notification processing unit 224 notifies the advice stored in the advice information storage unit 233 when the abnormality determination unit 223 determines that the behavior is abnormal. More specifically, in the present embodiment, for example, the notification processing unit 224 further accommodates the advice in the communication signal containing the determination result determined by the abnormality determination unit 223. More specifically, the notification processing unit 224 extracts, from the advice information table AdT, advice corresponding to the age, sex and degree of need of nursing care of the care recipient Ob whose abnormality determination unit 223 determines the presence or absence of an abnormality in the behavior. The extracted advice is further contained in the communication signal containing the determination result determined by the abnormality determination unit 223.

The central management unit SV is further connected to the control processing unit 22 as necessary, as shown by a broken line in FIG. 2, and is input by the input unit 24 for inputting various commands, various data, etc. Output unit that outputs various commands and data, and the action of the care recipient Ob, judgment results, advice, etc., and an interface unit (IF unit) that inputs / outputs data to / from external devices 26 may be provided. Further, in the above description, the behavior information storage unit 231, the determination condition information storage unit 232, the advice information storage unit 233, and the caregiver information storage unit 234 are functionally configured in the storage unit 23. Some or all of the determination condition information storage unit 232, the advice information storage unit 233, and the caregiver information storage unit 234 may be configured by one or more database servers. For example, the behavior abnormality detection system MS for a nursing care facility further includes a behavior information database server that stores (records) and manages behavior information, and a caregiver information database server that stores (records) and manages caregiver information. May be configured.

Such a central management device SV can be configured, for example, by a computer with a communication function.

The fixed terminal apparatus SP has a communication function of communicating with other apparatuses SV and TA via the network NW, a display function of displaying predetermined information, and an input function of inputting predetermined instructions and data, etc. By entering predetermined instructions and data to be given to the device SV and the portable terminal device TA, and displaying the behavior, the determination result and the advice of the care recipient Ob received from the central management device SV, etc. The device functions as a user interface (UI) of the abnormality detection system MS. Such fixed terminal apparatus SP can be configured, for example, by a computer with a communication function.

The portable terminal device TA has a communication function of communicating with other devices SV and SP via the network NW, a display function of displaying predetermined information, an input function of inputting predetermined instructions and data, etc. It is an apparatus for inputting predetermined instructions and data given to the mobile terminal device TA, displaying the action of the care recipient Ob received from the central management device SV, the determination result, and the advice. Such a portable terminal device TA can be configured by, for example, a portable communication terminal device such as a so-called tablet computer, a smartphone, or a mobile phone.

When such a terminal apparatus SP, TA or the central management apparatus SV further includes the input unit 24, the past time, the latest time, the first determination period, the second determination period, or the like from the input unit 24. A care facility behavior abnormality detection system MS and a central management device SV may be configured so that the determination period and the method of statistical processing can be designated (set).

Next, the operation of this embodiment will be described. FIG. 7 is a flowchart showing an operation related to behavior abnormality determination in the central management device.

In the behavior abnormality detection system MS for a nursing care facility configured as described above, each of the devices SU, SV, SP, and TA performs initialization of necessary parts when the power is turned on, and starts its operation. In the central management device SV, the control processing unit 22 functionally includes a control unit 2211, an action processing unit 222, an abnormality determination unit 223, and a notification processing unit 224 by execution of the control processing program.

When the sensor unit SU starts its operation, the sensor unit SU generates an image (target image) of an imaging target at predetermined time intervals, and generates the generated target image, an image generation time as an example of action time, and a sensor ID of its own device. The received communication signal is generated for the central management device SV, and the generated communication signal is transmitted to the central management device SV via the network NW. When the central management device SV receives this communication signal, the action processing unit 222 obtains an action of the care recipient Ob, and stores the obtained action of the care recipient Ob in the action information storage unit 231.

More specifically, the action processing unit 222 first extracts the area (person area) of the person of the care recipient Ob from the target image contained in the communication signal, for example, by the background subtraction method, and this extracted person area The center position of is determined as the position of the care recipient Ob. Next, the action processing unit 222 selects (searches) the action information table AT corresponding to the sensor ID contained in the communication signal from the action information storage unit 231, and the communication is performed from the selected action information table AT. Based on the action time contained in the signal, the position of the care recipient Ob obtained last time and the previous action time are extracted. Next, the action processing unit 222 is accommodated in the position and the time of the previous action of the care recipient Ob obtained at the previous time, the position of the care subject Ob currently determined as described above, and the communication signal. The movement speed of the care recipient Ob is obtained from the current action time. Then, the action processing unit 222 adds a new record to the selected action information table AT, and the communication signal is added to each of the action time field 2311, the position field 2312 and the action (moving speed) field 2313 in the added record. The current action time stored in the current position, the current position and the moving speed obtained as described above are registered. Thus, the action (moving speed) of the care recipient Ob is stored in the action information storage unit 231.

On the other hand, the central management device SV carries out an operation related to behavior abnormality determination in the care recipient Ob by executing the following respective processes. The operation relating to the behavioral abnormality determination in the care recipient Ob is, for example, by receiving an execution start instruction from the terminal device SP or TA, or at predetermined time intervals, or containing the action of the care recipient Ob. It is implemented each time a communication signal is received. The operation relating to the behavioral abnormality determination in the care recipient Ob is, for example, received for all the care recipient Ob, or by receiving designation of the care recipient Ob from the terminal devices SP and TA, or contained in the communication signal. The care recipient Ob of the living room RM in which the sensor device SU having the above sensor ID is disposed is implemented.

In FIG. 6, first, the central management device SV acquires the first determination period, the second determination period, and the threshold value by the abnormality determination unit 223 of the control processing unit 22 (S11). More specifically, the abnormality determination unit 223 first records the name of the care recipient Ob to be determined in the name field 2341 from the caregiver information table RT stored in the caregiver information storage unit 234. Are selected (searched), and the sex, age, and degree of need of nursing care registered in each of the sex field 2343, the age field 2344 and the degree of needing care field 2347 in the selected record are extracted. Then, from the judgment condition information table DT stored in the judgment condition information storage unit 232, the abnormality judging unit 223 extracts the sex, the age and the degree of need of nursing care for each of the sex field 2321, the age field 2322 and the degree of needing care A record to be registered in each of the fields 2323 is selected (searched), and the threshold registered in each of the threshold field 2324, the first determination period field 2325 and the second determination period field 2326 in the selected record, the first determination period and the second 2 Extract the judgment period.

Next, the central management device SV statistically processes past action data by the abnormality determination unit 223 (S12). More specifically, the abnormality determination unit 223 first selects (searches) an action information table AT corresponding to the name of the care recipient Ob to be determined from the action information storage unit 231. Next, the abnormality determination unit 223 extracts, from the selected action information table AT, the moving speed within the first determination period acquired in the process S11 from the past time point. Then, the abnormality determination unit 223 obtains the first average value by averaging the extracted moving speeds.

Next, the central management device SV statistically processes the latest action data by the abnormality determination unit 223 (S13). More specifically, the abnormality determination unit 223 first extracts, from the past time point, the moving speed in the second determination period acquired in the process S11 from the action information table AT selected in the process S12. Then, the abnormality determination unit 223 obtains the second average value by averaging the extracted moving speeds.

Next, the central management device SV obtains a difference value between the first and second average values by the abnormality determination unit 223 (S14). More specifically, the abnormality determination unit 223 obtains the difference value by subtracting the second average value from the first average value.

Next, the central management device SV determines, by the abnormality determination unit 223, whether or not there is an abnormality in the behavior of the care recipient Ob to be determined (S15). More specifically, the abnormality determination unit 223 compares the difference value obtained in the process S14 with the threshold value acquired in the process S11 to determine whether there is an abnormality in the behavior of the care recipient Ob who should be determined. judge. If, as a result of this determination, the difference value obtained in the process S14 exceeds the threshold obtained in the process S11, the movement speed is reduced beyond the threshold, so it is determined that there is an abnormality in the behavior. (Yes), the abnormality determination unit 223 sequentially executes each process of the process S16 and the process S17, and ends the present process. On the other hand, as a result of the determination, if the difference value obtained in the process S14 does not exceed the threshold obtained in the process S11 (if the difference value obtained in the process S14 is less than or equal to the threshold obtained in the process S11) In this case, it is determined that there is no abnormality in the behavior (No), and the abnormality determination unit 223 ends the present process.

In processing S16, the central management device SV acquires advice by the notification processing unit 224. More specifically, from the advice information table AdT stored in the advice information storage unit 233, the notification processing unit 224 selects the gender, the age, and the degree of long-term care required extracted in the process S11 as the gender field 2331, the age field A record to be registered in each of the field 2332 and the degree-of-care requiring field 2333 is selected (searched), and the advice registered in the advice field 2334 in the selected record is extracted.

Then, in processing S17 following processing S16, the central processing unit SV causes the notification processing unit 224 to notify (notify) the determination result to the outside. More specifically, the notification processing unit 224 determines the name of the care recipient Ob to be determined, the determination result determined in the process S15 (the presence of an abnormality in the behavior), and the advice extracted in the process S16. The communication signal to be accommodated is addressed to the terminal apparatus SP or TA notified to the terminal apparatus SP or TA by broadcast communication, or to the sensor apparatus SU disposed in the room RM of the care recipient Ob. To send.

When the terminal devices SP and TA receive this communication signal, they display the name of the care recipient Ob, the determination result (action abnormality present), and the advice, whereby the determination result is notified, and the determination result is Recognized by the user.

In the above description, only the abnormal behavior is notified to the terminal apparatus SP, TA. However, the abnormal behavior may also be notified to the terminal apparatus SP, TA. In this case, when the determination result of the process S15 indicates no abnormality of the action (No), the process S17 is performed. In the process S17, the communication signal contains the name of the care recipient Ob to be determined and the determination result (no abnormality in the behavior) determined in the process S15.

As described above, the behavioral abnormality detection system MS for a nursing care facility, the behavioral abnormality detection device for a nursing care facility included in the central management device SV, and the behavioral abnormality detection method for a nursing care facility implemented in this embodiment are: An abnormality in the action of the care recipient Ob based on a plurality of time-sequential actions (moving speed (walking speed in the present embodiment)) acquired in the past and a plurality of time-sequential actions acquired most recently Determine the presence or absence. Therefore, the behavioral abnormality detection system MS for a nursing care facility, the behavioral abnormality detection device for a nursing care facility (central management device SV) and the behavioral abnormality detection method for a nursing care facility are not detected by the sudden behavior on the day, From the behavior, it is possible to detect minute daily behavioral changes, and it is possible to detect behavioral abnormalities suspected to develop dementia earlier. Therefore, it is possible to take measures in the early stage of dementia.

The behavioral abnormality detection system MS for a nursing care facility, the behavioral abnormality detection device for a nursing care facility (central management device SV), and the behavioral abnormality detection method for a nursing care facility include the determination condition information storage unit 232, so the first and second determination periods Each can be set appropriately.

The behavioral abnormality detection system MS for a nursing care facility, the behavioral abnormality detection device for a nursing care facility (central management device SV), and the behavioral abnormality detection method for a nursing care facility statistically process the plurality of behaviors in time series. It is possible to remove unique data (noise data that is not correct as data) included in a plurality of actions, and determine the presence or absence of an abnormality in the action of the care recipient Ob with statistical feature quantities represented from the plurality of actions in time series. it can. Therefore, the behavioral abnormality detection system MS for a nursing care facility, the behavioral abnormality detection device for a nursing care facility (central management device SV) and the behavioral abnormality detection method for a nursing care facility more appropriately determine the presence or absence of an abnormality in the behavior of the care recipient Ob. it can.

The behavioral abnormality detection system MS for a nursing care facility, the behavioral abnormality detection device for a nursing care facility (central management device SV), and the behavioral abnormality detection method for a nursing care facility comprise an advice information storage unit 233. If it is determined that there is, for example, advice can be provided to the user such as a caregiver.

In the above embodiment, the action of the care recipient Ob is the moving speed (walking speed), but is not limited to this, and may be another action related to the detection of the onset of dementia. . For example, the action of the care recipient Ob may be turning over, a normal action, a night shift, or the like.

When the action of the care recipient Ob is turning over, the number of times of turning over is found instead of the moving speed (walking speed). The number of times of turning is determined, for example, by execution of each of the following processes. First, a location area of bedding, a right-side lying posture pattern representing a right-side lying posture, and a left-side lying posture pattern representing a left-side lying posture are prepared in advance. Then, from the image, the orientation of the lying posture (direction of the person area) in the care recipient Ob is determined by pattern matching using the lying posture pattern and the left lying posture pattern, and from the start time to the end time of bedtime In the meantime, each time the orientation of the lying posture changes, the number of turns is incremented by one. The start time of bedtime is, for example, the time of admission when the care recipient Ob (person area) is in the lying position in the area where the bedding is located, and the time when bedtime is ended, the care target person is in the area where the bedding is located. At the time of getting up when Ob is in the sitting position, or at the time of leaving when the care recipient Ob stands out from the area where the bedding is located. The lying posture of the care recipient Ob in the area where the bedding is located, the sitting posture of the care recipient Ob in the area where the bedding is located, and the standing posture of the care subject Ob outside the region where the bedding is located are respectively images. It is judged by the size of the head of the care recipient Ob. In the image captured from the upper side of the care recipient Ob, the size of the head decreases in the order of the standing posture, the sitting posture, and the lying posture, so preparing each determination threshold in advance makes each of these postures It can be determined. Then, a first average value is obtained from the number of times of turning over in the first determination period from the past time point, and a second average value is obtained from the number of times of turning over in the second determination period from the most recent time point A difference value is determined by subtracting the second average value from the value, and the determined difference value is compared with the threshold value. As a result of this comparison, if the difference value does not exceed the threshold, it is determined that there is no abnormality in the action, while if the difference value exceeds the threshold, it is determined that there is an abnormality in the action. The determination result is notified (notified) together with the predetermined advice. The above-mentioned predetermined advice is, for example, "You can see a decrease in turning over. Since the range of motion of the hip joint may be reduced, please start joint range of motion training."

Further, the ordinary behavior is, for example, to repeat nonsensical similar behavior such as repeating the behavior of folding clothes and performing in front of the closet. When the action of the care recipient Ob is such a normal action, the length of time for staying in a specific area (place) such as a predetermined area in front of the chest instead of the moving speed (walking speed) (The length of time for which you have continued your normal behavior) is required. More specifically, the specific area (for example, the area before the closet) is stored in advance, and the length of time from the time when the care recipient Ob (person area) enters the specific area to the time when it comes out from the image Is required. In addition, it is also determined whether or not the care subject Ob (person area) is in the sitting posture in the specific area, and the length of time during which the care subject Ob is in the sitting posture (the clothes are folded) It may be required to have a length of time) which is estimated to repeat repetitive behavior. Then, a first average value is obtained from the time length in the first determination period from the past time point, and a second average value is obtained from the time length in the second determination period from the most recent time point. A difference value is determined by subtracting the second average value from the value, and the determined difference value is compared with the threshold value. As a result of this comparison, if the difference value does not exceed the threshold, it is determined that there is no abnormality in the action, while if the difference value exceeds the threshold, it is determined that there is an abnormality in the action. The determination result is notified (notified) together with the predetermined advice. The predetermined advice is, for example, "normal behavior is observed. A diagnosis consultation for dementia is recommended" or the like.

In the case where the action of the care recipient Ob is at night (wandering), instead of the moving speed (walking speed), the number of night depressions or the time length of night depression is obtained. More specifically, the location area of the bedding is stored in advance, and in the night time zone (for example, the time zone from 22 o'clock to the next 4 o'clock etc.), from the image, the area is outside the bedding area of the bedding. The number of times the care recipient Ob (person's area) is present for at least a predetermined time set in advance outside the area where the bedding is located is counted as the number of night wrinkles. Alternatively, in the night time zone, the number of times the care recipient Ob (person area) is absent for a predetermined time or more out of the room RM is counted as the number of night wrinkles from the image. Alternatively, the location area of the bedding is stored in advance, and in the night time zone (for example, the time zone from 22:00 to the next 4 o'clock etc.), the image is out of the location area of the bedding and out of the location area of the bedding The time length in the case where the care recipient Ob (person area) is beyond the area where the bedding is located is longer than the predetermined time set in advance is determined as the time length of the night time. Alternatively, in the nighttime time zone, a time length of absence of the care target person Ob (person area) for a predetermined time or more, which is outside the living room RM, is obtained from the image as the nighttime habit time length. Then, a first average value is obtained from the number of night brows or the time length of the night brow in the first determination period from the past time point, and the number of night brows or night brow in the second determination period from the most recent time point The second average value is determined from the time length of the second average value, the difference value is determined by subtracting the second average value from the first average value, and the determined difference value is compared with the threshold value. As a result of this comparison, if the difference value does not exceed the threshold, it is determined that there is no abnormality in the action, while if the difference value exceeds the threshold, it is determined that there is an abnormality in the action. The determination result is notified (notified) together with the predetermined advice. The predetermined advice is, for example, "You can see a night-time acne. We recommend that you have a diagnosis for dementia."

Although the present specification discloses various aspects of the technology as described above, the main technologies are summarized below.

The behavioral abnormality detection device for a nursing care facility according to one aspect includes an acquisition unit that acquires an activity of a care recipient, and an activity information storage unit that associates the activity of the care recipient acquired by the acquisition unit with an acquisition time and stores the activity. And a plurality of time-series actions of the care recipient acquired by the acquisition unit in the past and stored in the behavior information storage unit, and the action acquired by the acquisition unit and stored in the behavior information storage unit most recently. An abnormality determination unit that determines the presence or absence of an abnormality in the behavior of the care recipient based on a plurality of time-series actions of the care recipient, and a notification processing unit that notifies the determination result determined by the abnormality determination unit to the outside And Preferably, in the above-described behavioral abnormality detection apparatus for a care facility, the acquisition unit includes an interface unit that acquires an activity of the care recipient from an external device such as a sensor device. Preferably, in the above-described behavior abnormality detection apparatus for a nursing care facility, the acquisition unit is a communication interface unit that receives, from an external device, a communication signal containing information (data) representing the behavior of the care recipient. And an action processing unit for obtaining an action of the care recipient based on the information contained in the signal. Preferably, in the above-described behavioral abnormality detection apparatus for a nursing care facility, the acquisition unit includes a sensor that acquires an activity of the care recipient. Preferably, in the above-described behavioral abnormality detection apparatus for a nursing care facility, the acquisition unit is any one of a camera as a sensor for acquiring an activity of the care recipient, a distance image generation apparatus, and a thermographic apparatus. And an action processing unit for obtaining an action of the care recipient based on an output of the device. Preferably, in the above-described behavior abnormality detection apparatus for a nursing care facility, the behavior of the person to be treated is movement (walking) between a predetermined two points (a predetermined two areas).

Such a behavior abnormality detection apparatus for a nursing care facility is based on a plurality of time-series multiple actions acquired in the past and a plurality of time-series multiple actions acquired most recently. Determine Therefore, the behavioral abnormality detection device for a nursing care facility can detect minute daily behavioral changes from daily behavior, and can detect behavioral abnormalities in which onset of dementia is suspected.

In another aspect, the above-described behavioral abnormality detection apparatus for a nursing care facility further includes a determination period information storage unit that stores predetermined first and second determination periods, and the abnormality determination unit is configured to determine whether the first or the second determination period is stored. Acquired by the acquisition unit within the second determination period from the most recent time point and a plurality of time-series actions of the care recipient acquired by the acquisition unit and stored in the behavior information storage unit within one determination period; The presence or absence of abnormality in the action of the care recipient is determined based on the plurality of time-series actions of the care subject stored in the action information storage unit.

Since such a care facility behavior abnormality detection device includes the determination period information storage unit, each of the first and second determination periods can be appropriately set. For example, by setting the second determination period to a period different from the first determination period, it is possible to more clearly determine continuously changing behavior. In particular, it is preferable that the first determination period is longer than the second determination period, from the viewpoint that behavior change in dementia is likely to change rapidly as the disease becomes severer.

In another aspect, in the behavior abnormality detection apparatus for a care facility described above, the abnormality determination unit may calculate a first value obtained by statistically processing the plurality of time-series actions in the past, and the latest value. The presence or absence of abnormality in the care target person's behavior is determined by comparing the difference value with the second value obtained by performing the statistical processing on the plurality of time series actions in the above and a predetermined threshold. Preferably, in the above-described behavioral abnormality detection apparatus for a nursing care facility, the behavior of the person to be treated is movement (walking) between a predetermined two points (a predetermined two areas), and the first and second values are Each is an average value of the moving speed (walking speed) between the predetermined two points (between the predetermined two areas).

Since such a behavior abnormality detection apparatus for a nursing care facility statistically processes the plurality of time-series actions, it is possible to remove unique data (noise data as incorrect data) included in the plurality of time-series actions, For example, it is possible to determine the presence or absence of an abnormality in the care target person's behavior from statistical feature quantities expressed from the plurality of time-series actions such as average value and standard deviation. Therefore, the behavioral abnormality detection apparatus for a nursing care facility can more appropriately determine the presence or absence of an abnormality in the behavior of the care recipient.

In another aspect, the above-described behavior abnormality detection apparatus for a nursing care facility further includes an advice information storage unit that stores an advice presented when there is an abnormality in the behavior, the notification processing unit including the abnormality determination unit If it is determined that there is an abnormality in the action, the advice stored in the advice information storage unit is notified.

Since such a care facility behavior abnormality detection device further includes an advice information storage unit, when the abnormality determination unit determines that there is an abnormality in the behavior, for example, it is possible to provide advice to a user such as a carer.

The behavior abnormality detection method for a care facility according to another aspect includes an acquisition step of acquiring an action of a care recipient, and an action information storage unit by associating the action of the care recipient acquired in the acquisition step with an acquisition time. And a plurality of time-series actions of the care target person obtained in the acquisition step in the past and stored in the action information storage unit, and the action information acquired most recently in the acquisition step An abnormality determining step of determining presence or absence of an abnormality in the action of the care recipient based on a plurality of time-series actions of the care subject stored in the storage unit; and a determination result determined in the abnormality determination step And a notification processing step of notifying the outside.

Such a behavioral abnormality detection method for a nursing care facility is based on a plurality of time-series multiple actions acquired in the past and a plurality of time-series multiple actions acquired most recently, whether or not there is an abnormality in the care target person's behavior Determine Therefore, the above-described behavioral abnormality detection method for a nursing care facility can detect minute daily behavioral changes from daily behavior, and can detect behavioral abnormalities in which onset of dementia is suspected.

A behavioral abnormality detection system for a care facility according to another aspect comprises a sensor device for acquiring a behavior of a care recipient, and communicably connected to the sensor device to manage the behavior of the care recipient, the care recipient A central management apparatus that determines presence or absence of an abnormality in the action of the care recipient based on the behavior of the care recipient, and a terminal apparatus communicably connected to the central management apparatus and outputting a determination result determined by the central management apparatus; It is an action abnormality detection system for nursing homes provided, and the said central-management apparatus contains the behavior abnormality apparatus for any of these above-mentioned care institutions.

Such a behavioral abnormality detection system for a nursing care facility includes any of the above-described behavioral abnormality devices for a nursing care facility, so that it is possible to detect from the daily behavior the behavioral abnormality in which the onset of dementia is suspected.

In another aspect, in the above-described behavioral abnormality detection system for a nursing home, the sensor device includes a sensor that acquires the activity of the care recipient without contact with the care recipient.

In such a behavior abnormality detection system for a care facility, since the sensor device acquires the behavior of the care recipient without contact, the behavior of the care recipient can be acquired without restraining the care recipient.

This application is based on Japanese Patent Application No. 2017-247394 filed on Dec. 25, 2017, the contents of which are included in the present application.

Although embodiments of the present invention have been illustrated and described in detail, it is merely illustrative and not restrictive. The scope of the present invention should be interpreted by the terms of the appended claims.

While the present invention has been properly and sufficiently described above through the embodiments with reference to the drawings in order to express the present invention, those skilled in the art can easily change and / or improve the above embodiments. It should be recognized that it is possible. Therefore, unless a change or improvement implemented by a person skilled in the art is at a level that deviates from the scope of the claims set forth in the claims, the change or the improvement is the scope of the rights of the claim It is interpreted as being included in

According to the present invention, it is possible to provide a behavioral abnormality detection device for a nursing care facility, a behavioral abnormality detection method for a nursing care facility, and a behavioral abnormality detection system for a nursing care facility, which detect a behavioral abnormality in a care recipient.

Claims

An acquisition unit for acquiring the behavior of the subject of care;
An action information storage unit that stores the action of the care recipient acquired by the acquisition unit in association with the acquisition time;
A plurality of time-series multiple actions of the care recipient acquired by the acquisition unit in the past and stored in the behavior information storage unit, and the care target acquired most recently by the acquisition unit and stored in the behavior information storage unit An abnormality determination unit that determines the presence or absence of an abnormality in the action of the person to be cared for based on a plurality of time-series actions of the elderly person;
And a notification processing unit configured to notify the determination result determined by the abnormality determination unit to the outside.
Behavioral anomaly detector for nursing homes.
It further comprises a determination period information storage unit that stores predetermined first and second determination periods,
The abnormality determination unit is a plurality of time-series actions in the care target person, which are acquired by the acquisition unit and stored in the behavior information storage unit in the first determination period from a past time, and the most recent time The presence or absence of abnormality in the action of the care recipient is determined based on the plurality of time-series actions of the care subject acquired by the acquisition unit and stored in the action information storage unit within the second determination period.
The behavioral abnormality detection apparatus for a care facility according to claim 1.
The abnormality determination unit is obtained by statistically processing a first value obtained by statistically processing the plurality of time-series actions in the past, and the plurality of time-series plurality of actions in the most recent. It is determined whether or not there is an abnormality in the action of the care recipient by comparing the difference value with the second value with a predetermined threshold value.
The behavioral abnormality detection device for a nursing home according to claim 1 or 2.
The system further comprises an advice information storage unit for storing advice presented when there is an abnormality in behavior,
The notification processing unit notifies the advice stored in the advice information storage unit when the abnormality determination unit determines that the behavior is abnormal.
The behavioral abnormality detection device for a nursing home according to any one of claims 1 to 3.
An acquisition process for acquiring the action of the subject of care;
An action information storage step of storing the action of the care recipient acquired in the acquisition step in the action information storage unit in association with the acquisition time;
A plurality of time-series actions of the care recipient acquired in the acquisition step and stored in the behavior information storage unit in the past, and the care object acquired in the acquisition step and stored in the behavior information storage unit most recently An abnormality determining step of determining the presence or absence of an abnormality in the action of the person to be cared for based on a plurality of time-series actions of the elderly person;
And a notification processing step of notifying the outside of the determination result determined in the abnormality determination step.
Behavioral anomaly detection method for nursing homes.
A sensor device for acquiring an action of a care recipient, and a communicable connection with the sensor device to manage the action of the care recipient, and presence or absence of abnormality in the action of the care recipient based on the action of the care recipient A care facility behavior abnormality detection system comprising: a central management device that determines the communication state; and a terminal device communicably connected to the central management device and outputting a determination result determined by the central management device,
The central management device includes a behavior abnormality device for a nursing home according to any one of claims 1 to 4.
Behavioral anomaly detection system for nursing homes.
The sensor device includes a sensor for acquiring the action of the care recipient without contacting the care recipient.
The behavioral abnormality detection system for a nursing home according to claim 6.