Determination device

JP7635785B2Active Publication Date: 2025-02-26NEC CORP
View PDF 4 Cites 0 Cited by

Patent Information

Application Number
JP2022550270
Authority / Receiving Office
JP · JP
Patent Type
Patents
Current Assignee / Owner
Filing Date
2020-09-17
Publication Date
2025-02-26
Estimated Expiration
2040-09-17

AI Technical Summary

Benefits of technology

【0010】 上述したような各構成によると、患者状態を適切に判定することができる。

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure 0007635785000001
    Figure 0007635785000001
  • Figure 0007635785000002
    Figure 0007635785000002
  • Figure 0007635785000003
    Figure 0007635785000003
Patent Text Reader

Abstract

This determination device 600 has: a restless state determination unit 621 that determines a restless state of a subject on the basis of acquired information; a situation determination unit 622 that determines a situation of the subject on the basis of the acquired information; and a determination unit 623 that determines, according to the acquisition state of the information, whether to execute the determination process performed by the restless state determination unit 621 and the determination process performed by the situation determination unit 622.
Need to check novelty before this filing date? Find Prior Art

Description

[Technical field]

[0001] The present invention relates to a determination device, a determination method, and a recording medium. [Background technology]

[0002] When a patient becomes restless, there is an increased risk of extubation, needle removal, falling, etc., which may result in injury to the patient. Therefore, in order to reduce such risks and fears, a technology is known that detects signs of restlessness.

[0003] For example, Patent Document 1 is known as a document that describes a technology for determining a sign of agitation. Patent Document 1 describes a biometric information processing system that includes a determination unit and an estimation unit. According to Patent Document 1, the determination unit determines identification information indicating whether the patient's condition has changed compared to a normal state based on a feature amount of the patient's biometric information. Then, the estimation unit estimates treatment information for the patient based on the identification information determined by the determination unit and a treatment prediction parameter that has been learned in advance. Patent Document 1 also discloses heart rate and the like as an example of biometric information, and discloses an agitation score that indicates the possibility that the patient is in an agitated state as an example of identification information. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] International Publication No. 2019 / 073927 Summary of the Invention [Problem to be solved by the invention]

[0005] In the case of the technology described in Patent Document 1, estimation and judgment are performed based on the feature amount of biological information acquired around the bed. Therefore, for example, when the patient leaves the bed, it is difficult to appropriately judge the state of the patient.

[0006] SUMMARY OF THE PRESENT EMBODIMENTS Accordingly, an object of the present invention is to provide a determination device, a determination method, and a recording medium that solve the problem of the difficulty in appropriately determining the condition of a patient. [Means for solving the problem]

[0007] In order to achieve this object, a determination device according to one embodiment of the present disclosure includes: An agitated state determination unit that determines the agitated state of the subject based on the acquired information; A situation determination unit that determines a situation of the subject based on the acquired information; A determination unit that determines whether to execute the determination process performed by the unsettled state determination unit or the determination process performed by the situation determination unit according to an information acquisition status; have The structure is as follows.

[0008] In addition, a determination method according to another aspect of the present disclosure includes: The computer Obtain information, A determination is made as to whether to execute a determination process for determining the subject's agitated state or a determination process for determining the subject's situation, depending on the information acquisition status. The structure is as follows.

[0009] In addition, a recording medium according to another embodiment of the present disclosure includes: On the computer, Obtain information, A determination is made as to whether to execute a determination process for determining the subject's agitated state or a determination process for determining the subject's situation, depending on the information acquisition status. It is a recording medium on which a program for implementing the processing is recorded. Effect of the Invention

[0010] According to the above-mentioned configurations, the patient's condition can be appropriately determined. [Brief description of the drawings]

[0011] [Figure 1]1 is a diagram illustrating an example of the overall configuration of a determination system according to a first embodiment of the present disclosure. [Diagram 2] 2 is a block diagram showing a configuration example of the sensor device shown in FIG. 1. [Diagram 3] 2 is a block diagram showing an example of the configuration of the bed terminal shown in FIG. 1. [Figure 4] 2 is a block diagram showing an example of the configuration of a relay device shown in FIG. 1. [Diagram 5] 2 is a block diagram showing an example of the configuration of the determination device shown in FIG. 1. [Figure 6] FIG. 4 is a diagram illustrating an example of information stored in a storage unit. [Figure 7] 6 is a diagram showing an example of vital data included in the sensing data shown in FIG. 5. FIG. [Figure 8] 2 is a diagram showing an example of a vital score included in the score information shown in FIG. 1. FIG. [Figure 9] 11 is a diagram for explaining a processing example of the unsettled state determination unit; FIG. [Figure 10] 4 is a flowchart showing an example of the operation of the determination device. [Figure 11] FIG. 13 is a block diagram showing another example of the configuration of the determination device. [Figure 12] FIG. 11 is a hardware configuration diagram of a determination device according to a second embodiment of the present disclosure. [Figure 13] FIG. 2 is a block diagram showing an example of the configuration of a determination device. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0012] [First embodiment] A first embodiment of the present disclosure will be described with reference to Figs. 1 to 11. Fig. 1 is a diagram showing an example of the overall configuration of a determination system 100. Fig. 2 is a block diagram showing an example of the configuration of a sensor device 200. Fig. 3 is a block diagram showing an example of the configuration of a bed terminal 300. Fig. 4 is a block diagram showing an example of the configuration of a relay device 400. Fig. 5 is a block diagram showing an example of the configuration of a determination device 500. Fig. 6 is a diagram showing an example of information stored in a storage unit 540. Fig. 7 is a diagram showing an example of vital data. Fig. 8 is a diagram showing an example of a vital score included in score information 544. Fig. 9 is a diagram for explaining an example of processing of the restless state determination unit 554. Fig. 10 is a flowchart showing an example of the operation of the determination device 500. Fig. 11 is a block diagram showing another example of the configuration of the determination device 500.

[0013] In the first embodiment of the present disclosure, a determination system 100 for determining a patient's condition will be described. The determination system 100 in this embodiment includes an agitated state determination unit 554 for determining the agitated state of the patient, and a situation determination unit 555 for determining the situation of the patient. As will be described later, the determination system 100 determines whether the determination process performed by the agitated state determination unit 554 or the situation determination unit 555 is to be performed, depending on the acquisition status of information used when the agitated state determination unit 554 or the situation determination unit 555 performs the determination process. By performing the determination process according to such a determination, it is possible to perform an appropriate determination according to whether the patient has left a predetermined location or not.

[0014] The determination system 100 described in this embodiment can be used in, for example, acute care hospitals, convalescent care hospitals, nursing homes, home monitoring, etc. The determination system 100 may be used in situations other than those exemplified above.

[0015] In this embodiment, agitation refers to a state in which the patient is restless and excited. Agitation can be caused by delirium, etc. The agitated state indicates a state related to the patient's agitation. The agitated state indicates, for example, whether the patient is agitated or not, and whether the patient shows signs of agitation or not. The agitated state may include other indicators related to the possibility of the patient being agitated. If the patient is agitated, there is a possibility that the patient will exhibit problematic behavior such as falling off the bed, removing the intubation tube, making strange noises, or becoming violent.

[0016] In this embodiment, the patient's situation determined by the situation determination unit 555 is a broader concept than, for example, an uneasy state. For example, the patient's situation may include at least one of a location state, an operation state, a vital state, a problem state, and the like. Here, the location state indicates a state according to the location where the patient stays, such as the patient being in an unauthorized place or heading in an unauthorized direction. The operation state indicates a state according to the patient's operation, such as the patient standing or walking. The vital state indicates a state according to the patient's vitals, such as the patient's heart rate or respiratory rate, and whether or not there is a problem with the heart rate or respiratory rate. The problem state indicates a state according to whether or not there is a problem with the patient, such as the patient falling, wandering, heading in an abnormal direction, or wandering. The problem state may be determined based on at least one of the location state, the operation state, and the vital state. For example, a problem state in which the patient is having a problem is determined based on a vital state in which the patient's heart rate is abnormal. Also, for example, a detailed problem state that the patient has collapsed at a specific location is determined based on a location state that the patient is in an unauthorized location, a motion state that the patient is stationary, and a vital state that the patient's heart rate is abnormal. The location state, motion state, vital state, and problem state may be other than those exemplified above. The patient's condition may or may not include a restless state.

[0017] FIG. 1 shows a configuration example of the determination system 100. Referring to FIG. 1, the determination system 100 includes, for example, a sensor device 200, a bed terminal 300, a relay device 400, and a determination device 500. As shown in FIG. 1, the sensor device 200 and the bed terminal 300, the sensor device 200 and the relay device 400, the bed terminal 300 and the relay device 400, and the relay device 400 and the determination device 500 are connected to each other wirelessly or by wire so as to be able to communicate with each other. For example, the connection between the sensor device 200 and the bed terminal 300 is realized in a more power-saving manner than the connection between the bed terminal 300 and the relay device 400. For example, the sensor device 200 and the bed terminal 300 are connected using power-saving wireless communication such as Bluetooth (registered trademark), and the bed terminal 300 and the relay device 400 are connected using wireless communication such as Wi-Fi (registered trademark). Furthermore, the connection between the sensor device 200 and the relay device 400 is realized by a method that allows communication over a longer distance than the connection between the sensor device 200 and the bed terminal 300. For example, the sensor device 200 and the bed terminal 300 are connected using low-power wireless communication such as Bluetooth, and the sensor device 200 and the relay device 400 are connected using wireless communication such as Wi-Fi. Note that the sensor device 200 and the relay device 400 do not need to be connected so that they can communicate with each other at all times. In other words, the sensor device 200 and the relay device 400 may be connected so that they can communicate with each other as needed, such as when the connection between the sensor device 200 and the bed terminal 300 is cut off.

[0018] The number of sensor devices 200, the number of bed terminals 300, the number of relay devices 400, and the number of determination devices 500 included in the determination system 100 are not limited to those illustrated in Fig. 1. For example, the determination system 100 can include a plurality of sensor devices 200, bed terminals 300, relay devices 400, and determination devices 500.

[0019] The sensor device 200 measures information necessary for determination processing such as agitation determination and situation determination, such as vital data and position data of the subject patient. Furthermore, the sensor device 200 can transmit information acquired by measurement to the determination device 500 via multiple routes (i.e., different routes). For example, in the case of this embodiment, the sensor device 200 is a wearable sensor such as a smart watch worn by the patient. The sensor device 200 is not limited to being a wearable sensor, and may be a camera installed at a predetermined location, a fixed sensor fixed to a bed, or an installed sensor installed near the bed.

[0020] Fig. 2 shows a configuration example of the sensor device 200. Referring to Fig. 2, the sensor device 200 includes, for example, a sensor 210, a determination unit 220, and a transmission / reception unit 230. For example, the sensor device 200 can realize each of the above processing units by hardware. The sensor device 200 may realize each of the above processing units by a calculation device such as a CPU executing a program stored in a storage device.

[0021] The sensor 210 is a device that acquires information for grasping the condition, situation, and movement of a patient. The sensor 210 is, for example, at least one of a vital sensor, a body movement sensor, a GPS (Global Positioning System) sensor, a camera, and the like. Here, the vital sensor is, for example, at least one of a heart rate sensor, a respiratory rate sensor, a blood pressure sensor, a body temperature sensor, a blood oxygen saturation sensor, and the like. In addition, the body movement sensor is, for example, at least one of a speed sensor, a gyro sensor (angular velocity sensor), an angle sensor, a microphone, and the like.

[0022] The sensor 210 acquires information for grasping the state, situation, and behavior of the patient using the configuration exemplified above. The information for grasping the state, situation, and behavior of the patient includes at least one of vital data, body movement data, and location information indicating the patient's location. The vital data is a physical quantity that changes with the patient's vital activity. For example, the vital data includes the patient's heart rate, respiratory rate, blood pressure, body temperature, skin temperature, blood flow, blood oxygen saturation, and the like. The body movement data is a physical quantity related to the patient's body movement. For example, the body movement data includes the acceleration, angular velocity, angle, and vocalization volume of a specific part of the patient's arm, body, leg, and the like. If the sensor 210 is a camera, a video or image may be acquired as information for grasping the state, situation, and behavior of the patient, and at least one of the vital data, body movement data, and location information may be acquired from the video or image.

[0023] The determination unit 220 determines a device to which the information acquired by the sensor 210 is to be transmitted. That is, the determination unit 220 determines a route to be used when transmitting the information to the determination device 500. For example, the determination unit 220 determines to which device, the bed terminal 300 or the relay device 400, the information acquired by the sensor 210 is to be transmitted.

[0024] As an example, while a connection with the bed terminal 300 via power-saving wireless communication is established, the determination unit 220 determines to transmit information to the bed terminal 300. While a communication with the bed terminal 300 is established, the determination unit 220 may determine to transmit information to the bed terminal 300 and not to transmit information to the relay device 400. Furthermore, when a connection with the bed terminal 300 via power-saving wireless communication is disconnected, the determination unit 220 determines to transmit information to the relay device 400 using wireless communication. When a connection with the bed terminal 300 via power-saving wireless communication is disconnected, the determination unit 220 may determine to establish a connection with the relay device 400 and transmit information to the relay device 400 using wireless communication.

[0025] For example, as described above, the determination unit 220 determines to which of the bed terminal 300 and the relay device 400 the information should be transmitted, based on the communication status with the bed terminal 300. Note that the determination unit 220 may determine to transmit information to the bed terminal 300 and also to transmit information to the relay device 400 while a connection with the bed terminal 300 via power-saving wireless communication is established.

[0026] The determination process by the determination unit 220 is not limited to the above-mentioned example. For example, the determination unit 220 can perform the above-mentioned determination using the position information acquired by the sensor 210. For example, the determination unit 220 checks whether the patient has left the predetermined location based on the position information. The predetermined location is a location where the patient should stay or a main location where the patient stays, such as the patient's bed. If it is determined that the patient has not left the predetermined location, the determination unit 220 determines that data is to be transmitted to the bed terminal 300. On the other hand, if it is determined that the patient has left the predetermined location, the determination unit 220 determines that data is to be transmitted to the relay device 400. In this way, the determination unit 220 may be configured to perform a determination based on the position information. The determination of whether the patient has left the predetermined location may be based on whether the patient is staying within a predetermined range from the predetermined location. The predetermined range from the predetermined location is, for example, around the bed, a hospital room, etc. Furthermore, the determination section 220 may perform a determination based on a combination of the position information and the communication status with the bed terminal 300. The determination section 220 may perform a determination using a method other than the above-mentioned examples.

[0027] The determination unit 220 may determine the device to which the information is to be transmitted and may select the information to be transmitted. For example, the determination unit 220 may select the information to be transmitted depending on the determined device to which the information is to be transmitted. For example, when the determination unit 220 determines that the information is to be transmitted to the bed terminal 300, the determination unit 220 selects information necessary for performing agitation determination from among the information for grasping the state, situation, and behavior of the patient acquired by the sensor 210. Specifically, the determination unit 220 selects vital data and body movement data as information to be transmitted from among the information for grasping the state, situation, and behavior of the patient acquired by the sensor 210. On the other hand, when the determination unit 220 determines that the information is to be transmitted to the relay device 400, the determination unit 220 selects information necessary for performing a situation determination from among the information for grasping the state, situation, and behavior of the patient acquired by the sensor 210. Specifically, the determination unit 220 selects location information, etc. as information to be transmitted from among the information for grasping the state, situation, and behavior of the patient acquired by the sensor 210. For example, as described above, the determination unit 220 may select information to be transmitted depending on the destination. According to such a configuration, necessary information can be transmitted accurately at each timing. Moreover, since unnecessary information is not transmitted, power consumption can be suppressed. Note that even when the determination unit 220 determines to transmit information to the relay device 400, the determination unit 220 may select vital data or the like as information to be transmitted, other than the above-mentioned examples. Furthermore, when transmitting vital data or the like to the relay device 400, the determination unit 220 may determine to transmit information processed on the information acquired by the sensor 210, such as by thinning out the vital data acquired by the sensor 210 at a predetermined time interval. That is, the determination unit 220 may determine to transmit information processed so that the information to be transmitted to the relay device 400 is smaller in capacity than the information to be transmitted to the bed terminal 300. By transmitting such processed information, it is possible to suppress an increase in power consumption during a Wi-Fi connection. Note that the determination unit 220 may be configured to always determine to thin out the information to be transmitted to the relay device 400.

[0028] The transmitting / receiving unit 230 has an antenna and the like. The transmitting / receiving unit 230 transmits and receives information to and from the bed terminal 300 and the relay device 400 according to the result of the determination by the determining unit 220. That is, the transmitting / receiving unit 230 transmits information acquired by the sensor device 200 to the information transmission destination determined by the determining unit 220. Note that, when the determining unit 220 selects information to be transmitted, the transmitting / receiving unit 230 transmits the information selected by the determining unit 220 to the information transmission destination determined by the determining unit 220.

[0029] For example, when the determination unit 220 determines that information is to be transmitted to the bed terminal 300, the transmission / reception unit 230 transmits, to the bed terminal 300, the information acquired by the sensor 210 or the information selected by the determination unit 220, the identification information of the sensor device 200, etc. Furthermore, when the determination unit 220 determines that information is to be transmitted to the relay device 400, the transmission / reception unit 230 transmits, to the relay device 400, the information acquired by the sensor 210 or the information selected by the determination unit 220, the identification information of the sensor device 200, etc.

[0030] For example, as described above, the transmitting / receiving unit 230 transmits information according to the selection result by the determining unit 220 to a destination according to the determination by the determining unit 220.

[0031] As described above, the determination unit 220 may determine not to transmit information to the relay device 400 while communication with the bed terminal 300 is established. When the determination unit 220 is configured in this manner, the transmission / reception unit 230 transmits information only to either the bed terminal 300 or the relay device 400. In other words, the transmission / reception unit 230 may be configured to transmit information only to either the bed terminal 300 or the relay device 400.

[0032] The above is an example of the configuration of the sensor device 200.

[0033] The sensor device 200 may be composed of one device or may be composed of multiple devices. For example, the sensor device 200 may be composed of one device having functions such as a vital sensor and a body movement sensor. The sensor device 200 may be realized by connecting multiple devices such as a device having a function as a vital sensor, a device having a function as a body movement sensor, and a device having functions as the transmission / reception unit 230 and the determination unit 240 so that they can communicate with each other. When the sensor device 200 is composed of multiple devices, each of the multiple devices may have a transmission / reception unit.

[0034] The bed terminal 300 is an information processing device that is installed in advance at a predetermined location, such as near the bed where the patient is staying. The bed terminal 300, for example, transfers data. For example, the bed terminal 300 is a smartphone or the like, and has a screen display function. The bed terminal 300 may be something other than a smartphone. Note that the bed terminal 300 is a terminal that is installed at a predetermined location where the patient should stay, or a predetermined location that serves as a reference for determining the range where the patient should stay, and is not limited to being installed near the bed.

[0035] Fig. 3 shows an example of the configuration of the bed terminal 300. Referring to Fig. 3, the bed terminal 300 has, for example, a transmission / reception unit 310 and a screen display unit 320. For example, the bed terminal 300 can realize each of the above processing units by hardware. The bed terminal 300 may realize each of the above processing units by having a calculation device such as a CPU execute a program stored in a storage device.

[0036] The transmitting / receiving unit 310 has an antenna and the like, and transmits and receives data to and from the sensor device 200 using low-power wireless communication, and also transmits and receives data to and from the relay device 400 using wireless communication. For example, the transmitting / receiving unit 310 receives information transmitted by the sensor device 200. Then, the transmitting / receiving unit 310 transmits the information received from the sensor device 200 to the relay device 400.

[0037] Furthermore, the transmitting / receiving unit 310 can transmit to the relay device 400 information corresponding to the communication status with the sensor device 200. For example, the transmitting / receiving unit 310 can transmit to the relay device 400 information corresponding to the communication status, such as that communication with the sensor device 200 has been established or that communication with the sensor device 200 has been disconnected.

[0038] Furthermore, the transmitting / receiving unit 310 can receive information indicating the results of the disturbance determination and the situation determination from the determination device 500 via the relay device 400.

[0039] The screen display unit 320 displays on a screen the information received by the transmitting / receiving unit 310 from the sensor device 200, information indicating the results of the unrest determination or situation determination received from the determination device 500 via the relay device 400, and the like.

[0040] The relay device 400 is a device that transfers data. The relay device 400 is installed in advance, for example, in the vicinity of the installation location of the determination device 500 or in a position where data can be received from multiple bed terminals 300. For example, the relay device 400 is a wireless base station. The relay device 400 may be other than a wireless base station. In this embodiment, the relay device 400 and the determination device 500 are configured differently. However, the relay device 400 and the determination device 500 may be realized by the same terminal. That is, the configuration of the relay device 400 and the configuration of the determination device 500 may be realized in the same device. In addition, the determination system 100 may not have the relay device 400. That is, information may be directly transmitted and received between the bed terminal 300 and the determination device 500, and between the sensor device 200 and the determination device 500. In this case, the bed terminal 300 may realize the configuration of the determination device 500.

[0041] Fig. 4 shows a configuration example of the relay device 400. Referring to Fig. 4, the relay device 400 has, for example, a transmission / reception unit 410. For example, the relay device 400 can realize each of the above-mentioned processing units by hardware. The relay device 400 may realize each of the above-mentioned processing units by a calculation device such as a CPU executing a program stored in a storage device.

[0042] The transmitting / receiving unit 410 has an antenna and the like, and transmits and receives data using wireless communication between the sensor device 200, the bed terminal 300, the determination device 500, and the like. For example, the transmitting / receiving unit 410 receives information transmitted by the sensor device 200 or the bed terminal 300. The transmitting / receiving unit 410 then transmits the information received from the sensor device 200 or the bed terminal 300 to the determination device 500 together with information indicating the source of the information. In other words, the transmitting / receiving unit 410 transmits the received information to the determination device 500 so that it is possible to identify whether the information was received from the sensor device 200 or the bed terminal 300.

[0043] Furthermore, the transmitting / receiving unit 410 receives information indicating the results of the disturbance determination and the situation determination from the determination device 500. Then, the transmitting / receiving unit 410 transmits the information received from the determination device 500 to the bed terminal 300 or the like.

[0044] The determination device 500 is an information processing device that performs a disturbance determination or a situation determination depending on the information acquisition situation. The determination device 500 is installed at a predetermined location such as a nurse's station. For example, the determination device 500 is an information processing device such as a personal computer, tablet, or smartphone used by medical personnel such as doctors and nurses, an on-premise server installed in a hospital, or a cloud server. The determination device 500 may be a combination of an information processing device such as a personal computer, tablet, or smartphone and a server. For example, the determination device 500 is a combination of an on-premise server and a smartphone in a hospital, and the on-premise server performs a determination based on body movement data and vital data, and displays or notifies the result on a smartphone used by a medical personnel. The determination device 500 may be other than the above examples.

[0045] Fig. 5 shows a configuration example of the determination device 500. Referring to Fig. 5, the determination device 500 has, as main components, for example, an operation input unit 510, a screen display unit 520, a communication I / F unit 530, a storage unit 540, and an arithmetic processing unit 550.

[0046] The operation input unit 510 is composed of an operation input device such as a keyboard, a mouse, etc. The operation input unit 510 detects an operation of a medical worker or the like who operates the determination device 500, and outputs the operation to the calculation processing unit 550.

[0047] The screen display unit 520 is composed of a screen display device such as an LCD (Liquid Crystal Display). The screen display unit 520 can display various information stored in the storage unit 540, such as the sensing data 543, the score information 544, and the result information 545, in response to an instruction from the arithmetic processing unit 550. The screen display unit 520 may be installed in a location separate from the location where the arithmetic processing unit 550 and the like are installed. For example, among the components of the determination device 500, only the screen display unit 520 may be installed in a nurse's station. In this case, the arithmetic processing unit 550 and the like may be installed in a location separate from the screen display unit 520, such as a server room.

[0048] The communication I / F unit 530 includes a data communication circuit and performs data communication with an external device such as the relay device 400 connected via wireless communication or a mobile terminal carried by a medical worker.

[0049] The storage unit 540 is a storage device such as a hard disk or a memory. FIG. 6 shows an example of information stored in the storage unit 540. As shown in FIG. 6, the storage unit 540 stores processing information and a program 546 required for various processes in the arithmetic processing unit 550. The program 546 is read into the arithmetic processing unit 550 and executed to realize various processing units. The program 546 is read in advance from an external device or a recording medium via a data input / output function such as the communication I / F unit 530, and is stored in the storage unit 540. Main information stored in the storage unit 540 includes, for example, a model for determining unrest 541, a model for determining a situation 542, sensing data 543, score information 544, and result information 545.

[0050] The unrest determination model 541 is a model that calculates an unrest determination score based on information acquired by the sensor 210. For example, the unrest determination model 541 is used when calculating an unrest determination score based on information acquired via the bed terminal 300. The unrest determination model 541 may be used when calculating an unrest determination score based on information acquired via another route. For example, the unrest determination model 541 receives information corresponding to at least one of vital data and body movement data as input, and outputs an unrest determination score. The unrest determination model 541 is a trained model that is generated in advance by performing machine learning using a support vector machine (SVM) or a neural network in an external device, for example. For example, the machine learning is performed by using data that is labeled with the presence or absence of unrest for vital data and body movement data measured in the past as teacher data. The unrest determination model 541 is acquired from an external device via the communication I / F unit 530, etc., and stored in the storage unit 540.

[0051] Note that the disturbance determination model 541 may include a plurality of types of models according to the type of data. For example, the disturbance determination model 541 may include a vital model for inputting vital data and a body movement model for inputting body movement data. The disturbance determination model 541 may also include a plurality of models according to the types of vital data and body movement data, such as acceleration and vocalization volume.

[0052] Moreover, the agitation determination score output by the agitation determination model 541 is an index for determining whether or not a patient is agitated. The agitation determination score is, for example, a value between 0 and 1. The closer the agitation determination score is to 1, the more likely the patient is agitated, and the closer the agitation determination score is to 0, the more likely the patient is not agitated. The agitation determination score may be an index expressed by two values, 1 indicating agitation and 0 indicating no agitation. The agitation determination score may be an index expressing the degree of intensity, for example, 2 indicating strong agitation and 1 indicating weak agitation.

[0053] The data input to agitation determination model 541 may be the vital data or body movement data itself, or may be various features calculated by performing feature processing such as averaging or differentiation on time-series vital data or body movement data. Agitation determination model 541 may be configured to input one type of vital data or body movement data, or may be configured to input multiple types of vital data or body movement data.

[0054] The situation determination model 542 is a model that performs situation determination based on information acquired by the sensor 210. For example, the situation determination model 542 is used when performing situation determination based on information acquired without going through the bed terminal 300 (that is, information directly transmitted from the sensor device 200 to the relay device 400). For example, the situation determination model 542 receives time-series location information, vital data, body movement data, etc. as input, and outputs information indicating at least one of a location state, an action state, a vital state, and a problem state. The situation determination model 542 is a trained model that is generated in advance by performing machine learning using a support vector machine (SVM) or a neural network in an external device, for example. For example, the machine learning is performed by using data that is labeled with the location state, the action state, the vital state, the presence or absence of a problem state, etc. for past time-series location information, vital data, body movement data, etc. as teacher data. The situation determination model 542 is acquired from an external device, etc. via the communication I / F unit 530, etc., and stored in the storage unit 540.

[0055] The information input to the situation determination model 542 is not limited to the position information. For example, other information directly transmitted from the sensor device 200 to the relay device 400 can be input to the situation determination model 542. For example, the situation determination model 542 may be a model that receives vital data and body movement data as input and outputs information indicating at least one of a position state, an action state, a vital state, a problem state, and the like. The vital data and body movement data input here may be the vital data and body movement data acquired by the sensor 210 that have been thinned out at a predetermined time interval. Such a model can also be generated in advance by using a method similar to the above-mentioned method. The situation determination model 542 may be configured to receive input of a combination of the above-mentioned examples.

[0056] The sensing data 543 includes information acquired by the sensor 210 of the sensor device 200. For example, the sensing data 543 stores at least one of vital data, body movement data, position information, and the like acquired by the sensor 210 for each piece of identification information of the sensor device 200. Note that the sensing data 543 can store the information acquired by the sensor 210 so that the acquisition route of the information can be determined.

[0057] For example, Fig. 7 shows an example of time series data of heart rate, which is a type of vital data. In Fig. 7, the x-axis indicates time, and the y-axis indicates heart rate.

[0058] The score information 544 includes a score for determining whether or not the patient is agitated, which is an index for determining whether or not the patient is agitated. For example, in the score information 544, the identification information of the sensor device 200 and the score for determining agitation are associated with each other.

[0059] Fig. 8 shows an example of the agitation determination score calculated by score calculation unit 553 based on the vital data shown in Fig. 7. In Fig. 8, the x-axis indicates time, and the y-axis indicates the agitation determination score. As shown in Fig. 8, the agitation determination score is expressed, for example, as a value between 0 and 1. The agitation determination score closer to 1 indicates a higher possibility that the patient is agitated, and the closer to 0 indicates a higher possibility that the patient is not agitated.

[0060] The result information 545 includes information indicating the result of the judgment made by the uneasy state judgment unit 554 based on the score information 544, information indicating the judgment result by the situation judgment unit 555, etc. For example, the result information 545 includes the identification information of the sensor device 200, and information indicating the result of the uneasy state judgment or the result of the situation judgment.

[0061] The arithmetic processing unit 550 has a microprocessor such as an MPU and its peripheral circuits. The arithmetic processing unit 550 reads and executes the program 546 from the storage unit 540, thereby implementing various processing units by making the above hardware and the program 546 work together. Major processing units implemented by the arithmetic processing unit 550 include, for example, a data acquisition unit 551, a judgment unit 552, a score calculation unit 553, an uneasy state determination unit 554, and a situation determination unit 555.

[0062] The data acquiring unit 551 acquires the body movement data, vital data, position information, identification information of the sensor device 200, and the like transmitted by the relay device 400 via the communication I / F unit 530. Then, the data acquiring unit 551 stores the acquired body movement data, vital data, and position information in the storage unit 540 as sensing data 543 for each identification information of the sensor device 200.

[0063] The judgment unit 552 judges whether to perform the judgment process of the uneasy state judgment by the score calculation unit 553 and the uneasy state judgment unit 554 or the situation judgment by the situation judgment unit 555. For example, the judgment unit 552 judges whether to perform the judgment process of the uneasy state judgment or the situation judgment depending on whether the information acquisition situation satisfies a predetermined condition. For example, the judgment unit 552 judges to perform the uneasy state judgment by the score calculation unit 553 and the uneasy state judgment unit 554 while the data acquisition unit 551 is acquiring information necessary for the uneasy state judgment. On the other hand, when the data acquisition unit 551 does not acquire at least one of the information necessary for the uneasy state judgment, the judgment unit 552 judges to perform the situation judgment by the situation judgment unit 555. With this configuration, the uneasy state judgment performed by the uneasy state judgment unit 554 and the situation judgment unit 555 are switched depending on the result of the judgment by the judgment unit 552.

[0064] Specifically, for example, the determination unit 552 performs the above-mentioned determination based on data included in the sensing data 543. For example, the determination unit 552 compares the timestamp of information acquired via the bed terminal 300, such as vital data and body movement data, among the information included in the sensing data 543, with the current time. Then, while the time difference between the timestamp and the current time satisfies a predetermined condition, such as 30 seconds, the determination unit 552 determines that the score calculation unit 553 and the agitated state determination unit 554 will perform agitation determination. On the other hand, while the time difference between the timestamp and the current time exceeds the predetermined condition, the determination unit 552 determines that the situation determination unit 555 will perform a situation determination. For example, as described above, the determination unit 552 determines the determination process to be performed depending on the information acquisition status, such as whether or not information is normally acquired via the bed terminal 300. In addition, when vital data, body movement data, etc. are transmitted via a route that does not go through the bed terminal 300, the judgment unit 552 may determine that a state of agitation should be judged by the score calculation unit 553 and the agitation state judgment unit 554 in addition to, or instead of, a state of agitation judgment.

[0065] Furthermore, for example, the determination unit 552 can make the above-mentioned determination based on whether or not information acquired via the bed terminal 300, such as vital data and body movement data included in the sensing data 543, satisfies a predetermined condition. For example, when a predetermined condition is satisfied, such as when the heart rate is no longer measured, the determination unit 552 determines that a situation determination should be made by the situation determination unit 555. On the other hand, until the above-mentioned predetermined condition is satisfied, the determination unit 552 determines that an agitation determination should be made by the score calculation unit 553 and the agitation state determination unit 554.

[0066] Also, for example, the determination unit 552 may make the above-mentioned determination based on whether or not information according to the communication status received from the bed terminal 300 or the like via the relay device 400 satisfies a predetermined condition. For example, the determination unit 552 determines to perform a situation determination by the situation determination unit 555 while it is determined that the power-saving wireless communication between the sensor device 200 and the bed terminal 300 is disconnected based on the information according to the communication status. On the other hand, the determination unit 552 determines to perform an uneasy state determination by the score calculation unit 553 and the uneasy state determination unit 554 while it is determined that the power-saving wireless communication between the sensor device 200 and the bed terminal 300 is established based on the information according to the communication status.

[0067] In addition, the determination unit 552 may determine which of the determination processes, the agitation determination and the situation determination, to perform, depending on conditions according to the acquisition status of information indicating the patient's condition or situation. That is, the determination unit 552 may determine which of the determination processes, the agitation determination and the situation determination, to perform, based on the result of the agitation determination or the situation determination at the time of the judgment process. For example, in a case where the patient gets up to go to the toilet and the determination device 500 outputs the result of the situation determination, the determination unit 552 may determine to perform the agitation determination when it acquires a predetermined situation, that the patient has returned to bed, as information.

[0068] For example, as described above, the determination unit 552 determines the determination process to be executed based on the information acquisition status, etc. The information acquisition status changes depending on whether the patient is staying within a range where low-power wireless communication with the bed terminal 300 is possible, etc. Therefore, the determination unit 552 can switch the determination process depending on whether the patient has left (gotten out of) the bed on which the bed terminal 300 is installed.

[0069] The determination unit 552 may determine which of the agitation determination and the situation determination processes to perform using information other than the acquisition status of information. For example, the determination unit 552 may determine which of the agitation determination and the situation determination processes to perform based on location information included in the acquired information. For example, the determination unit 552 may determine to perform the agitation determination when it is determined based on the location information that the patient has not left the bed, and may determine to perform the situation determination when it is determined based on the location information that the patient has left the bed. The determination unit 552 may also be configured to perform a determination based on a combination of some of the above-mentioned multiple conditions.

[0070] The score calculation unit 553 calculates the unrest determination score using the unrest determination model 541.

[0071] For example, the score calculation unit 553 refers to the sensing data 543 and acquires information acquired via the bed terminal 300. For example, the score calculation unit 553 acquires vital data including time series data of heart rate as shown in FIG. 7. The score calculation unit 553 also inputs the acquired data to the agitation determination model 541 and calculates the agitation determination score at each time as shown in FIG. 8. Thereafter, the score calculation unit 553 stores information indicating the calculated agitation determination score as score information 544 in the storage unit 540. Note that when vital data, body movement data, and the like are directly transmitted from the sensor device 200 to the relay device 400, the score calculation unit 553 may calculate the agitation determination score based on the vital data, body movement data, and the like acquired without going through the bed terminal 300.

[0072] In addition, the score calculation unit 553 may input the time series data itself to the model for determining agitation 541, or may input various features calculated by performing feature quantity processing such as averaging or differentiation on the time series data to the model for determining agitation 541.

[0073] The agitated state determination section 554 determines whether or not the patient is in an agitated state based on the agitation determination score included in the score information 544. Then, the agitated state determination section 554 stores the determination result as result information 545 in the storage section 540. For example, the agitated state determination section 554 stores information indicating the result of determining that the patient is agitated as result information 545 in the storage section 540.

[0074] For example, the agitated state determination unit 554 has in advance an agitated state determination threshold for comparison with the agitated state determination score. Then, the agitated state determination unit 554 performs a determination based on the agitated state determination score and the agitated state determination threshold. For example, when the agitated state determination score is equal to or greater than the agitated state determination threshold, the agitated state determination unit 554 determines that the patient is agitated. On the other hand, when the agitated state determination score is less than the agitated state determination threshold, the agitated state determination unit 554 determines that the patient is not agitated.

[0075] Specifically, for example, in the case of the agitation determination score shown in Fig. 8, the agitation determination score is equal to or greater than the agitation determination threshold between 22:30 and just before 1:00, just before 2:00, and around 6:00, as shown in Fig. 9. Therefore, the agitated state determination section 554 determines that the patient is agitated during the above times.

[0076] In addition, FIG. 9 illustrates an example in which the agitation determination threshold is 0.5. However, the agitation determination threshold may be other than 0.5. The agitation determination threshold may be set arbitrarily. For example, the agitation determination threshold may be appropriately determined according to attribute information of a patient, which will be described later.

[0077] The condition determination unit 555 uses the condition determination model 542 to estimate the condition of the patient.

[0078] For example, the situation determination unit 555 refers to the sensing data 543 and acquires information directly transmitted from the sensor device 200 to the relay device 400. The situation determination unit 555 inputs the acquired information to the situation determination model 542 and outputs information indicating at least one of the position state, the operation state, the vital state, and the problem state. After that, the situation determination unit 555 stores the output information in the storage unit 540 as result information 545.

[0079] The situation determination unit 555 acquires at least one of position information, vital data, and body movement data. For example, the situation determination unit 555 acquires position data of time series data. The situation determination unit 555 inputs the acquired position information to the situation determination model 542 and outputs information indicating the position state of the patient. Also, for example, the situation determination unit 555 acquires vital data and body movement data. The situation determination unit 555 inputs the vital data and body movement data to the situation determination model 542 and outputs information indicating the patient's motion state, vital state, and problem state. Note that the vital data and body movement data may be information obtained by thinning out the vital data and body movement data used for the agitation determination at a predetermined time interval. Also, the situation determination unit 555 may output information indicating the vital state by inputting the vital data to the situation determination model 542, or may output information indicating a more detailed motion state and problem state by inputting the vital data and body movement data to the situation determination model 542. In this way, the situation determination unit 555 may appropriately change the situation to be determined depending on the acquired information. The situation determination unit 555 may input the time series data itself to the situation determination model 542, or may input various features calculated by performing feature amount processing such as averaging and differentiation processing on the time series data to the situation determination model 542.

[0080] The situation determination unit 555 may be configured to perform a determination using something other than a model. For example, the situation determination unit 555 may determine whether or not a problem occurs with the patient based on the stay time determined based on the position information. For example, the situation determination unit 555 may determine that a problem occurs with the patient when there is no movement from a predetermined position for a predetermined time based on the position information. The situation determination unit 555 may also perform a determination based on the position information, such as that the patient is entering an unauthorized room or heading in an unauthorized direction. The situation determination unit 555 may also perform the above-mentioned determination based on the movement trajectory of the patient generated based on the position information. The situation determination unit 555 may also be configured to output information indicating the position state itself according to the position of the patient, such as information indicating the position of the patient.

[0081] The notification unit 556 outputs the result of the agitation determination or the result of the situation determination to an external device or the like when the agitation state determination unit 554 determines that the patient is agitated or when the situation determination unit 555 outputs the position state, the motion state, the vital state, the problem state, or the like. For example, the notification unit 556 can display the fact that the patient is agitated or information corresponding to the output by the situation determination unit 555 on the screen display unit 520 together with the identification information of the sensor device 200. In addition, the notification unit 556 can transmit the fact that the patient is agitated or information corresponding to the output by the situation determination unit 555, and the identification information of the sensor device 200 to an external device such as the bed terminal 300 related to the patient or a mobile terminal carried by a medical worker in charge of the patient. The notification unit 556 may perform notifications other than those exemplified above, such as turning on a lamp at the entrance of the room where the patient is hospitalized.

[0082] The notification unit 556 may change the notification method between when the agitation determination is made by the agitation state determination unit 554 and when the situation determination is made by the situation determination unit 555. For example, the notification unit 556 may change the type of alert or the like between when the agitation state determination unit 554 determines that the patient is agitated and when the situation determination unit 555 determines that a problem has occurred in the patient.

[0083] The above is an example of the configuration of the determination system 100. Next, an example of the operation of the determination device 500 will be described with reference to Fig. 10. Note that the order of operations of the determination device 500 shown in Fig. 10 is an example, and is not limited to this.

[0084] The data acquiring unit 551 acquires at least one of the body movement data, the vital data, the position information, the identification information of the sensor device 200, and the like transmitted by the relay device 400 via the communication I / F unit 530 (step S101).

[0085] The determination unit 552 determines whether to perform the determination process of the unrest determination or the situation determination, based on whether the information acquisition status or the information according to the communication status satisfies a predetermined condition (step S102).

[0086] If the condition is not satisfied (step S102, No), the determination unit 552 determines that the situation determination unit 555 performs situation determination based on the information transmitted from the sensor device 200 to the relay device 400. The situation determination unit 555 performs situation determination of the patient based on the information transmitted from the sensor device 200 to the relay device 400 (step S103). If possible, the situation determination unit 555 may perform agitation determination together with the situation determination. On the other hand, if the condition is satisfied (step S102, Yes), the determination unit 552 determines that agitation determination is performed by the score calculation unit 553 and the agitation state determination unit 554 based on the information transmitted via the bed terminal 300. The score calculation unit 553 and the agitation state determination unit 554 perform agitation determination of the patient based on vital data, body movement data, and the like acquired via the bed terminal 300 (step S104).

[0087] The notification unit 556 outputs the result of the agitation determination or the result of the situation determination when the agitation state determination unit 554 determines that the patient is agitated or when the situation determination unit 555 performs an output (step S105). Note that the notification unit 556 may change the way of notification depending on whether the agitation state determination unit 554 determines that the patient is agitated or when the situation determination unit 555 performs an output.

[0088] In this way, the determination device 500 has the determination unit 552, the agitated state determination unit 554, and the situation determination unit 555. With this configuration, the determination unit 552 can determine which determination process to perform, between the agitated state determination by the score calculation unit 553 and the agitated state determination unit 554 and the situation determination by the situation determination unit 555, based on the sensing data 543 or the like. As a result, the agitated state determination unit 554 and the situation determination unit 555 can perform determination based on the result of the determination by the determination unit 552. This makes it possible to perform an appropriate determination according to the patient's place of stay.

[0089] The location information may be acquired using something other than the sensor device 200. For example, the relay device 400 may acquire the location information using a beacon or wireless strength. That is, the relay device 400 may be configured to acquire the location information of the sensor device 200 while communication is being performed between the relay device 400 and the sensor device 200. In this configuration, the determination system 100 may be configured such that the sensor device 200 acquires vital data and body movement data, and the relay device 400 acquires the location information.

[0090] Furthermore, the configuration of the determination device 500 is not limited to the case described with reference to Fig. 5. For example, Fig. 11 shows another configuration example of the determination device 500. With reference to Fig. 11, the calculation processing unit 550 of the determination device 500 can have, for example, an attribute information acquisition unit 557.

[0091] The attribute information acquiring unit 557 acquires attribute information of the subject. For example, the attribute information acquiring unit 557 acquires medical record information of the subject from an external device or the like, and acquires attribute information such as age, sex, and paralysis state.

[0092] The attribute information acquired by the attribute information acquisition unit 557 can be used, for example, when adjusting the agitation determination threshold, when performing state determination by the state determination unit 555, etc. For example, the state determination unit 555 can adjust the time until it is determined that a problem has occurred depending on the presence or absence of hemiplegia of the patient, etc. The attribute information acquired by the attribute information acquisition unit 557 may be used for purposes other than those exemplified above.

[0093] 5 and 11 show an example in which the function of the determination device 500 is realized by one information processing device. However, the function of the determination device 500 may be realized by, for example, a plurality of information processing devices connected via a network.

[0094] [Second embodiment] Next, a second embodiment of the present disclosure will be described with reference to Fig. 12 and Fig. 13. In the second embodiment, an overview of the configuration of a determination device 600 will be described.

[0095] Fig. 12 shows an example of a hardware configuration of the determination device 600. Referring to Fig. 12, the determination device 600 has, as an example, the following hardware configuration. ·CPU (Central Processing Unit) 601 (computing unit) ROM (Read Only Memory) 602 (storage device) RAM (Random Access Memory) 603 (storage device) · Programs 604 loaded into RAM 603 A storage device 605 for storing a group of programs 604 A drive device 606 for reading and writing data from a recording medium 610 outside the information processing device A communication interface 607 for connecting to a communication network 611 outside the information processing device Input / output interface 608 for inputting and outputting data Bus 609 connecting each component

[0096] In addition, the determination device 600 can realize the functions of the uneasy state determination unit 621, the situation determination unit 622, and the judgment unit 623 shown in Fig. 13 by the CPU 601 acquiring the program group 604 and executing it. The program group 604 is stored in the storage device 605 or the ROM 602 in advance, for example, and the CPU 601 loads the program group 604 into the RAM 603 or the like and executes it as necessary. The program group 604 may be supplied to the CPU 601 via the communication network 611, or may be stored in the recording medium 610 in advance, and the drive device 606 may read out the program and supply it to the CPU 601.

[0097] 12 shows an example of the hardware configuration of the determination device 600. The hardware configuration of the determination device 600 is not limited to the above. For example, the determination device 600 may be configured with a part of the above configuration, such as not including the drive device 606.

[0098] The unsettled state determination section 621 determines the unsettled state of the subject based on the acquired information.

[0099] The situation determination section 622 determines the situation of the subject based on the acquired information.

[0100] The determination unit 623 determines whether the determination process performed by the unsettled state determination unit 621 or the determination process performed by the state determination unit 622 should be executed, depending on the state of information acquisition.

[0101] In this way, the determination device 600 has the agitated state determination section 621, the situation determination section 622, and the determination section 623. With this configuration, the determination section 623 can determine whether to execute the determination process performed by the agitated state determination section 621 or the determination process performed by the situation determination section 622, depending on the information acquisition situation. As a result, it becomes possible to perform an appropriate determination depending on whether or not the patient has left a predetermined location.

[0102] The above-mentioned determination device 600 can be realized by incorporating a predetermined program into the determination device 600. Specifically, the program according to another embodiment of the present invention is a recording medium having a program recorded thereon for causing a computer to acquire information and, depending on the acquisition status of the information, to execute either a determination process for determining whether the subject is in an agitated state or a determination process for determining the subject's status.

[0103] In addition, the judgment method realized by the above-mentioned judgment device 600 is a method in which a computer acquires information and, depending on the information acquisition status, determines whether to execute a judgment process for judging the subject's agitated state or a judgment process for judging the subject's status.

[0104] Even if the invention is a program (or a recording medium) or a determination method having the above-mentioned configuration, it has the same action and effect as the above-mentioned determination device 700, and therefore can achieve the above-mentioned object of the present invention.

[0105] <Additional Notes> A part or all of the above-described embodiments can be described as follows: The following provides an overview of the determination device and the like in the present invention. However, the present invention is not limited to the following configuration.

[0106] (Appendix 1) An agitated state determination unit that determines the agitated state of the subject based on the acquired information; A situation determination unit that determines a situation of the subject based on the acquired information; A determination unit that determines whether to execute the determination process performed by the unsettled state determination unit or the determination process performed by the situation determination unit according to an information acquisition situation; have Judgment device. (Appendix 2) 2. The determination device according to claim 1, The determination unit determines whether to execute a determination process performed by the uneasy state determination unit or a determination process performed by the situation determination unit, depending on an acquisition status of information used when the uneasy state determination unit determines a uneasy state. Judgment device. (Appendix 3) The determination device according to claim 1 or 2, The determination unit determines that the situation determination unit is to execute a determination process for making a determination when the data used by the unsettled state determination unit to determine the unsettled state cannot be acquired for a predetermined period of time. Judgment device. (Appendix 4) The determination device according to any one of Supplementary Note 1 to Supplementary Note 3, The determination unit determines a determination process to be performed depending on a communication state between a sensor that acquires information and a communication device that communicates with the sensor. Judgment device. (Appendix 5) The determination device according to any one of Supplementary Note 1 to Supplementary Note 4, The determination unit determines whether the uneasy state determination unit performs a determination process or the situation determination unit performs a determination process, depending on whether the subject has left a predetermined location. Judgment device. (Appendix 6) The determination device according to any one of Supplementary Note 1 to Supplementary Note 5, The unsettled state determination unit performs a determination process based on at least one of vital data and body movement data of the subject. Judgment device. (Appendix 7) The determination device according to any one of Supplementary Note 1 to Supplementary Note 6, The status includes any one of an operating status, a vital status, a location status according to location information of the subject, and a problem status indicating whether or not the subject is experiencing a problem. Judgment device. (Appendix 8) The determination device according to any one of Supplementary Note 1 to Supplementary Note 7, The situation determination unit performs a determination process based on position information indicating a position of a target person. Judgment device. (Appendix 9) A determination device according to any one of Supplementary Note 1 to Supplementary Note 8, The situation determination unit performs a determination process based on information obtained by thinning out the vital data or body movement data of the subject at a predetermined time interval. Judgment device. (Appendix 10) The computer Obtain information, A determination is made as to whether to execute a determination process for determining the subject's agitated state or a determination process for determining the subject's situation, depending on the information acquisition status. Judgment method. (Appendix 11) On the computer, Obtain information, A determination is made as to whether to execute a determination process for determining the subject's agitated state or a determination process for determining the subject's situation, depending on the information acquisition status. A recording medium on which a program for implementing processing is recorded.

[0107] The programs described in the above embodiments and appendices may be stored in a storage device or a computer-readable recording medium, such as a portable medium such as a flexible disk, an optical disk, a magneto-optical disk, or a semiconductor memory.

[0108] Although the present invention has been described with reference to the above-mentioned embodiments, the present invention is not limited to the above-mentioned embodiments. Various modifications that can be understood by a person skilled in the art can be made to the configuration and details of the present invention within the scope of the present invention. [Explanation of symbols]

[0109] 100 Judgment System 200 Sensor device 210 Sensors 220 Judgment section 230 Transmitter / Receiver 300 Bed Terminal 310 Transmitter / receiver 320 Screen display section 400 Repeater 410 Transmitter / receiver 420 Location information acquisition unit 500 Judgment device 510 Operation input section 520 Screen display section 530 Communication I / F section 540 Storage section 541 Model for determining disturbance 542 Situation Judgment Model 543 Sensing Data 544 Score Information 545 Result information 546 Programs 550 Processing Unit 551 Data Acquisition Department 552 Judgment Department 553 Score Calculation Unit 554 Unsettling State Judgment Unit 555 Situation Assessment Department 556 Notification Department 557 Attribute information acquisition section 700 Judgment device 701 CPU 702 ROM 703 RAM 704 Programs 705 Storage device 706 Drive device 707 Communication Interface 708 Input / Output Interface 709 Bus 710 Recording media 711 Communication Network 721 Unsettling State Judgment Unit 722 Situation Judgment Department 723 Judgment Department

Claims

1. an acquisition unit that acquires information of the subject transmitted from the sensor using at least one of a first route that passes through a bed terminal connected using low-power wireless communication and a second route that does not pass through the bed terminal; an agitation state determination unit that determines the agitation state of the subject in response to inputting information that is predetermined to be used when determining the agitation state among the information of the subject acquired by the acquisition unit into a model for agitation determination; a situation determination unit that determines the situation of the subject in response to inputting information that is predetermined to be used when determining a situation among the information of the subject acquired by the acquisition unit into a situation determination model; A determination unit that determines whether to execute a determination process performed by the uneasy state determination unit or a determination process performed by the situation determination unit according to an acquisition status of the information of the subject; having The determination unit determines whether the determination process to be performed by the unsettled state determination unit or the determination process to be performed by the situation determination unit is to be performed depending on whether an acquisition status of the information of the subject used when the unsettled state determination unit determines an unsettled state, the acquisition status being acquired using the first route via the bed terminal, satisfies a predetermined condition. Judgment device.

2. The determination device according to claim 1 , The acquisition unit acquires different information between information of the subject via the first route and information of the subject via the second route. Judgment device.

3. The determination device according to claim 1 or 2, When the information of the subject that can be acquired using the first route via the bed terminal and used by the agitated state determination unit to determine the agitated state cannot be acquired for a predetermined period of time, the determination unit determines that the situation determination unit will execute a determination process to make a determination using the information of the subject acquired using the second route that does not pass through the bed terminal. Judgment device.

4. The determination device according to any one of claims 1 to 3, The determination unit determines whether the subject has left a predetermined location depending on whether the acquisition unit has acquired information via the first route or the second route, and determines which determination process is to be executed, a determination process in which the uneasy state determination unit performs a determination or a determination process in which the situation determination unit performs a determination, depending on a determination result of whether the subject has left the predetermined location. Judgment device.

5. The determination device according to any one of claims 1 to 4, The agitated state determination unit determines an agitated state of the subject based on at least one of vital data and body movement data of the subject acquired using the first route via the bed terminal. Judgment device.

6. The determination device according to any one of claims 1 to 5, The situation includes at least one of an operating state, a vital state, a location state according to location information of the subject, and a problem state indicating whether or not the subject is experiencing a problem. Judgment device.

7. The determination device according to any one of claims 1 to 6, The situation determination unit determines the situation of the subject based on at least one of vital data, body movement data, and position information of the subject acquired using the second route that does not pass through the bed terminal. Judgment device.

8. The determination device according to any one of claims 1 to 7, The situation determination unit determines the situation of the subject based on information obtained by thinning out at least one of vital data or body movement data of the subject used for determining the agitated state at a predetermined time interval, the data being acquired using the second route that does not pass through the bed terminal. Judgment device.

9. The computer Acquire information of the subject transmitted from the sensor using at least one of a first route via a bed terminal connected using low-power wireless communication and a second route not via the bed terminal; Depending on the acquisition status of the information of the subject, determine whether to execute a judgment process of judging the subject's agitated state by inputting information predetermined to be used when judging the subject's agitated state from the acquired information of the subject into an agitation judgment model, or a judgment process of judging the subject's situation by inputting information predetermined to be used when judging the situation from the acquired information of the subject into a situation judgment model; When making the judgment, it is judged whether to execute a judgment process for judging an agitated state or a judgment process for judging a state depending on whether the acquisition status of the information of the subject used for judging the agitated state, acquired using the first route via the bed terminal, satisfies a predetermined condition. Judgment method.

10. On the computer, Acquire information of the subject transmitted from the sensor using at least one of a first route via a bed terminal connected using low-power wireless communication and a second route not via the bed terminal; A process is realized to determine whether to execute a process of determining whether the subject is in an agitated state by inputting information from the acquired information of the subject that is predetermined to be used when determining the subject's agitated state into an agitation determination model, or a process of determining the subject's situation by inputting information from the acquired information of the subject that is predetermined to be used when determining the situation into a situation determination model, depending on the acquisition status of the subject's information, When making the judgment, it is judged whether to execute a judgment process for judging an agitated state or a judgment process for judging a state depending on whether the acquisition status of the information of the subject used for judging the agitated state, acquired using the first route via the bed terminal, satisfies a predetermined condition. program.

Citation Information

Patent Citations

  • Apparatus, system, and method for vigilance estimation

    JP2007229218A

  • Patient state information management system

    JP2011172674A

  • Data communication system for medical equipment

    JP2017205358A

  • Biological information processing system, biological information processing method, and biological information processing program recording medium

    WO2019073927A1