JP7320241B2 - Information processing device, pressure ulcer risk evaluation method, and pressure ulcer risk evaluation program - Google Patents

Description

Application of Patent Law Article 30, Paragraph 2 On February 27, 2019, the claimed invention was disclosed at the joint event of the IoT Promotion Lab.

The present disclosure relates to an information processing device, a pressure ulcer risk evaluation method, and a pressure ulcer risk evaluation program for managing the biometric information of the care recipient in the equipment in which the care recipient entrusts the body and evaluating the risk of developing pressure ulcers in the care recipient.

Among hospitalized patients and residents in medical institutions and nursing homes, etc., those who have difficulty in activities on their own and who require a high degree of nursing care, especially those who are almost bedridden (hereinafter referred to as "long-term bedridden persons") ) cannot roll over on their own. When such a long-term bedridden person remains bedridden in the same posture, pressure is constantly applied to a part of the body, resulting in poor blood flow. It is known that this causes so-called bedsores called decubitus ulcers.

In medical institutions, nursing homes, and the like, a treatment called repositioning is performed in which a long-term bedridden person is made to change the direction of the body at predetermined time intervals in order to prevent pressure ulcers. Moreover, in order to ensure that this position change is performed reliably in medical institutions, nursing care facilities, etc., the time for the position change is set, for example, in a nursing care plan showing a daily schedule. However, workers who change positions in medical institutions, nursing care facilities, etc. are very busy, and in many cases the work of changing positions is not performed according to the nursing care plan. Pressure ulcers can seriously damage people who are bedridden for a long period of time, so it is necessary to change positions according to the nursing care plan.

For example, Patent Literature 1 discloses a health condition detection device capable of detecting a person's health condition 24 hours a day by detecting, with a vibration sensor, vibration caused by breathing activity of a person's lungs and heartbeat. It is The health condition detection device described in Patent Literature 1 can detect a change in body position due to rolling over, etc., by arranging a vibration sensor on the bed.

JP 2019-000673 A

By the way, it is empirically known that there are various risk factors before such long-term bedridden persons become unable to turn over by themselves. For example, it is possible to roll over on one's own, and even if the person receiving care is at a stage before becoming bedridden for a long period of time, the number of times the person needs to turn over gradually decreases as they become older because their physical strength declines year by year. It has been known. In addition, not only bedridden persons lying on bedding but also care recipients sitting in wheelchairs are known to develop or exacerbate bedsores. In this way, if it is known in advance that the patient is unable to turn over on his or her own, and the risk of developing a pressure ulcer increases, it is possible to improve the situation through guidance, rehabilitation, and the like. Since the health condition detection device described in Patent Document 1 does not perform such an analysis, a device or system for evaluating the risk of developing pressure ulcers has been desired.

Therefore, in the present disclosure, an information processing device, a pressure ulcer risk evaluation method, and a pressure ulcer risk evaluation program that manage the biometric information of the care recipient in the equipment in which the care recipient entrusts the body and evaluate the risk of developing pressure ulcers in the care recipient are described. do.

An information processing device according to one aspect of the present disclosure includes an appliance for a care recipient to rest his/her body on, and a management device for managing biometric information of the care recipient who entrusts his/her body to the equipment, and evaluates the risk of pressure ulcer development of the care recipient. The device includes a sensor that detects the vibration of the care recipient, and the management device includes a signal receiving unit that receives a detection signal from the sensor, and a care recipient based on the received detection signal. A pressure ulcer that evaluates the risk of a care recipient developing a pressure ulcer based on the biometric information, based on a biometric information acquisition unit that acquires the biometric information of the care recipient and pressure ulcer risk information that indicates the relationship between the biometric information and the risk of developing a pressure ulcer. and a risk assessment unit.

A pressure ulcer risk evaluation method according to one aspect of the present disclosure is a pressure ulcer risk evaluation method for managing the biometric information of a care recipient in a device in which the care recipient entrusts his or her body, and evaluating the risk of developing a pressure ulcer in the care recipient. A signal receiving step of receiving a detection signal from a sensor that detects the vibration of the care recipient, performed by the receiving unit, and a biological information acquisition unit performing the received detection signal, A biometric information acquisition step of acquiring biometric information, and information on the pressure ulcer risk indicating the relationship between the biometric information and the risk of developing a pressure ulcer performed by the pressure ulcer risk evaluation unit is used to cause the care recipient to develop a pressure ulcer based on the biometric information. a pressure ulcer risk assessment step of assessing risk.

Further, the pressure ulcer risk evaluation program in one aspect of the present disclosure is a pressure ulcer risk evaluation program that manages the biometric information of the care recipient in the equipment in which the care recipient entrusts the body, and evaluates the pressure ulcer development risk of the care recipient. a signal receiving step of receiving a detection signal from a sensor provided in the device for detecting the care receiver's vibration; a biological information obtaining step of obtaining the care receiver's biological information based on the received detection signal; and a pressure ulcer risk assessment step of assessing the risk of the care recipient developing a pressure ulcer based on the biometric information, from the pressure ulcer risk information indicating the relationship between the biometric information and the risk of developing a pressure ulcer.

According to the present disclosure, the appliance is provided with a sensor that detects the vibration of the care recipient, the management device receives the detection signal from the sensor, acquires the biometric information of the care recipient, and based on the biometric information, to assess the risk of developing a pressure ulcer. As a result, early detection of the risk becomes possible by evaluating the risk of developing pressure ulcers of the care recipient, so that the risk of developing pressure ulcers can be reduced by instructing the care recipient.

1 is a functional block configuration diagram showing an information processing device according to an embodiment of the present disclosure; FIG. 1. It is a top view which shows an example which has arrange|positioned the vibration sensor 230 of FIG. 1 to the mattress M of the bed B. FIG. 2 is a flowchart showing the operation of the information processing device 1 of FIG. 1; FIG. 3 is a schematic diagram showing an example of a state in which a bed person H is lying face up on the bed B in FIG. 2 ; FIG. 5 is a graph showing an example of changes in the position of the center of gravity according to analysis results of changes in the body position of the person H in bed in FIG. 4 ; FIG. 1 is a functional block configuration diagram showing a management device of an information processing device according to an embodiment of the present disclosure; FIG. 1 is a block configuration diagram showing an information processing device according to an embodiment of the present disclosure; FIG. 7 is a functional block configuration diagram showing a computer 700 according to an embodiment of the present disclosure; FIG.

Hereinafter, embodiments of the present disclosure will be described with reference to the drawings. It should be noted that the embodiments described below do not unduly limit the content of the present disclosure described in the claims. Also, not all the components shown in the embodiments are essential components of the present disclosure.

(Embodiment 1)
<Configuration>
FIG. 1 is a functional block configuration diagram showing an information processing device 1 according to Embodiment 1 of the present disclosure. This information processing apparatus 1 is a system that manages biometric information such as changes in body position of a person being cared for, mainly in medical institutions, nursing care facilities, and the like. Postural change refers to the act of the care recipient turning over on his or her own to change the direction of the body (orientation), coughing or sneezing, or vibrating a part of the body consciously or unconsciously. It is a concept that includes acts such as poverty extortion. Further, the information processing apparatus 1 is a system for evaluating the pressure ulcer development risk, which is the risk of the care recipient developing a pressure ulcer, based on biometric information such as changes in body position of the care recipient.

The information processing device 1 has a management device 100, a detection device 200, and a network NW. The management device 100 and the detection device 200 are interconnected via a network NW. The network NW is a communication network for communication, and non-limiting examples include the Internet, an intranet, a LAN (Local Area Network), a WAN (Wide Area Network), a wireless LAN (WLAN), a wireless WAN ( Wireless WAN (WWAN), virtual private network (VPN) and other communication networks. In addition, the management device 100 and the detection device 200 may be directly connected by a USB (Universal Serial Bus) cable or the like as an example without limitation.

The management device 100 receives vibration signals from the cared person from the detection device 200, manages biometric information such as changes in body position, evaluates the risk of the cared person developing pressure ulcers from the biometric information, and outputs the results. It is a device that notifies, and as a non-limiting example, it is composed of a computer (desktop, laptop, tablet, etc.) that provides various web services, a device including a server device, and the like. Note that the server device is not limited to a server device that operates alone, and may be a distributed server system that operates cooperatively by communicating via a network NW, or a cloud server.

The detection device 200 is a device that detects vibration when the cared person changes posture such as rolling over, or when the care recipient gets up, and is configured by a sensor or the like as an example and not a limitation. The detection device 200 is attached to a device on which the care recipient rests, for example, bedding such as a bed on which the care recipient lies, or a wheelchair on which the care recipient sits when moving. In this embodiment, an example in which the care recipient is a bedridden person and the sensor is attached to the bed will be described.

The management device 100 includes a communication section 110 , a display section 120 , an operation section 130 , a storage section 140 and a control section 150 .

The communication unit 110 is a communication interface for performing wired or wireless communication with the detecting device 200 via the network NW, and any communication protocol may be used as long as mutual communication can be performed. The communication unit 110 performs communication using a communication protocol such as TCP/IP (Transmission Control Protocol/Internet Protocol) as an example and not a limitation.

The display unit 120 is a user interface used to display operation contents input by a user who operates the management device 100, for example, staff members of a medical institution, a nursing care facility, etc., and contents transmitted from the detection device 200. Rather, as an example, it is composed of a device including a liquid crystal display, a touch panel, a touch display, and the like.

The operation unit 130 is a user interface used by a user who operates the management device 100 to input operation instructions, and includes devices such as a keyboard, mouse, touch panel, and touch display, for example and not limitation.

The storage unit 140 stores programs for executing various control processes and functions in the control unit 150, input data, and the like. Memory), etc., and storage including HDD (Hard Disk Drive), SSD (Solid State Drive), flash memory, and the like. The storage unit 140 also stores a pressure ulcer risk model DB (information on pressure ulcer risk) 141 . Further, the storage unit 140 temporarily stores data communicated with the detection device 200 and data generated in each process described later.

The pressure ulcer risk model DB 141 stores information on the pressure ulcer risk, which is information for evaluating the risk of the bed ulcer developing the bed ulcer based on the biometric information of the bed ulcer. Specifically, information on the time and number of times the bedridden person changed their posture, information on the weight change of the bedridden person for a certain period of time, information on the sleeping state of the bedridden person, information on the time and number of times the bedridden person left the bed, etc. Based on this, it is model information for evaluating the presence or absence of the risk of developing pressure ulcers in the future in the bedridden person. This pressure ulcer risk model DB 141 is information generated by performing machine learning based on the above-described information, and for example, obtains model information generated by performing machine learning on another device. Also, the pressure ulcer risk model DB 141 is used in the pressure ulcer risk evaluation unit 153, which will be described later.

The control unit 150 controls the overall operation of the management apparatus 100 by executing a program stored in the storage unit 140. As examples, not limitation, a CPU (Central Processing Unit), MPU (Micro Processing Unit), GPU (Graphics Processing Unit), Microprocessor, Processor core, Multiprocessor, ASIC (Application-Specific Integrated Circuit), FPGA (Field Programmable Gate Array), etc. consists of As functions of the control unit 150 , a signal reception unit 151 , a biological information acquisition unit 152 , a bedsore risk evaluation unit 153 , and a notification unit 154 are provided. The signal receiving unit 151 , the biological information acquiring unit 152 , the pressure ulcer risk evaluating unit 153 , and the notifying unit 154 are activated by a program stored in the storage unit 140 and executed by the management device 100 .

The signal receiving unit 151 receives a detection signal from a sensor included in the detecting device 200 from the detecting device 200 via the communication unit 110 . The sensing signals include, by way of example and not limitation, time-series waveform signals indicative of changes in voltage or current.

Further, the signal receiving unit 151 decomposes the detection signal into various periodic signals and performs Fourier transform to extract a predetermined periodic signal. This is because the detection signal, which is a waveform signal, contains noise, so that correct determination can be made in subsequent processing. Therefore, when the noise is small enough to allow determination of the required signal, Fourier transform may not be performed. The signal receiving unit 151 may store the received detection signal in the storage unit 140, but the illustration is omitted.

The biological information acquisition unit 152 acquires the biological information of the bedridden person by analyzing the detection signal received by the signal receiving unit 151 and performing Fourier transform as necessary. The biological information of the bedridden person includes, but is not limited to, the number of breathing and heartbeats of the bedridden person, the time and number of changes in body position of the bedridden person, the time and number of times the bedridden person left the bed (bed leave information), and the bed rest information. This is information on changes in body weight over a certain period of time. In addition, by further analyzing these pieces of information, information on the sleep state of the bedridden person (sleep state information) is obtained. For example, the detection signal obtained by detecting the vibration of a person lying on the bed with a sensor determines whether it is due to a change in the position of the person lying on the bed or due to the breathing or heartbeat of the person based on the magnitude and cycle of the signal level. Is possible. Therefore, in the biological information acquisition unit 152, for example, when acquiring information on changes in the body position of a bedridden person, if the signal level of the detection signal changes by a predetermined threshold or more and the change in the detection signal continues for a predetermined time or longer, It is determined that there is a change in the posture of the person, and is acquired as information on the change in posture of the bedridden person.

For example, when the person is stably sleeping, the signal detected by the sensor is the pulsation of the person and the vibration caused by the movement of the diaphragm accompanying breathing. It is about 1 Hz, and the vibration due to the respiration of the bedridden person is about 0.3 to 0.5 Hz, for example. When a bedridden person coughs, or consciously or unconsciously vibrates a part of the body, i.e., so-called squeezing, a signal level in a frequency band different from that of pulsation and respiration is detected. This signal is determined as a small change in body position. On the other hand, the vibration resulting from the postural change of the bedridden person is 2 to 8 times stronger than the signal level of a small postural change, and lasts for about 2 seconds to 3 minutes. The biological information acquiring unit 152 determines that this signal is a large change in body position, and that the signal when the person is lying in bed turns over is a large change in body position.

In addition, the biological information acquiring unit 152 may determine the orientation of the body of the bedridden person (orientation). For example, by analyzing a sensor-detected signal of vibration due to a change in the body position of a bedridden person, it is possible to determine the orientation of the body of the bedridden person at that time.

The pressure ulcer risk evaluation unit 153 acquires the biometric information of the bed ulcer stored in the bed ulcer risk model DB 141 and the bed ulcer risk model representing the relationship between the risk of the bed ulcer developing the bed ulcer by the biometric information acquisition unit 152. Based on the biometric information of the bedridden person, the risk of developing pressure ulcer in the bedridden person is evaluated. As a non-limiting example, a bedridden person who initially entered a nursing home or the like is able to roll over voluntarily, so information on the time and number of times the position has been changed indicates that the patient has frequently rolled over. Information of a large change in body position is stored. However, after a long period of time, the number of times of gradual large positional changes decreases and the time interval may increase. Then, such a bedridden person may not be able to turn over by themselves later, increasing the risk of pressure ulcers. The pressure ulcer risk evaluation unit 153 evaluates a bed ulcer risk person who tends not to detect a large change in body position for a predetermined period of time or more as having a pressure ulcer risk.

As another example, a bedridden person who has lost weight and tends to be slim compared to when they first entered a nursing home, etc., gradually decreases the number of times they make large changes in body position as their physical strength decreases. Intervals may also increase. Such bedridden persons may later be unable to roll over on their own, increasing the risk of pressure ulcers. The pressure ulcer risk evaluation unit 153 evaluates a bed ulcer person who exhibits such a tendency as having a pressure ulcer risk.

That is, the pressure ulcer risk evaluation unit 153 acquires not only the short-term biological information of the bedridden person, but also changes in long-term biological information, and evaluates the pressure ulcer risk. This makes it possible to grasp in advance that the bedridden person is at increased risk of developing pressure ulcers.

The notification unit 154 identifies a bedridden person whose pressure ulcer risk is evaluated to be higher than a predetermined value by the pressure ulcer risk evaluation unit 153, and notifies, for example, that the pressure ulcer risk is higher than a predetermined value. A person to be notified by the notification unit 154 is a person who is responsible for the health condition of the bedridden person, such as a care worker in a nursing facility or a nurse in a hospital. Specifically, for example, when these persons access the information of the bedridden person using the management device 100, a warning is issued to the effect that the pressure ulcer risk has increased beyond a predetermined level. Note that the target person of this notification may be the person himself/herself or his/her family. Also, the notification unit 154 may output an audio alert, and the management device 100 may include an audio output device, such as a speaker, for that purpose.

In addition, the notification unit 154 may, for example, output an alert in multiple stages. A caution display may be performed, and when two hours have passed, a warning display may be performed such that the display unit 120 displays the warning in red. Furthermore, in the case of alert output by voice output, the volume of the voice may be increased as time elapses.

The detection device 200 includes a communication section 210 , an operation control section 220 and a vibration sensor 230 .

The communication unit 210 is a communication interface for performing wired or wireless communication with the management apparatus 100 via the network NW, and any communication protocol may be used as long as mutual communication can be executed. The communication unit 210 performs communication using a communication protocol such as TCP/IP as an example and not a limitation.

The operation control unit 220 has a function of controlling the operation of the vibration sensor 230 and transmitting a detection signal to the management apparatus 100 via the communication unit 210. Configured.

A vibration sensor (sensor) 230 detects changes in body position when a person rolls over, breathing and heartbeat of a person in bed, coughing and sneezing of a person in bed, and vibration of a part of the body consciously or unconsciously. It is a sensor that detects vibration such as the act of moving the body, and as a non-limiting example, it is composed of a piezoelectric element or the like that converts externally applied vibration into an electric signal by the piezoelectric effect. This vibration sensor 230 is arranged on the bedding such as the mattress of the bed on which the bedridden person lies, at a position where the bedridden person lies down. Note that the vibration sensor 230 may be any sensor that detects the vibration of a bedridden person, and may be composed of a Doppler sensor, a mat sensor, or the like.

FIG. 2 is a plan view showing an example in which the vibration sensor 230 of FIG. 1 is arranged on the mattress M of the bed B. As shown in FIG. For example, a plurality of vibration sensors 230 are arranged on the mattress (bedding) M of the bed B shown in FIG. The vibration sensor 230 is formed in the shape of an elongated sheet, is arranged on the upper surface side of the mattress M, is covered with a sheet, a cushioning material, or the like and is embedded so as not to come into direct contact with the bedridden person. The reason why it is arranged so as not to directly touch the bedridden person is that there is a risk of electric shock or the like by touching the bedridden person, and the bedridden person may feel uncomfortable.

The layout of the vibration sensor 230 on the mattress M, as shown in FIG. are arranged in parallel along the width direction of the body of the bedridden person (vibration sensors 230a, 230b, 230c, 230d, 230e in order from the left), and vibration Two sensors 230 (vibration sensors 230f, 230g in order from the top) are arranged in parallel in the vertical direction of the bedridden person's body so that the longitudinal direction of the sensor 230 is along the width direction of the bedridden person's body. In addition, the bed B shown in FIG. 2 is directed upward toward the head of the bedridden person and downward toward the feet of the bedridden person.

The reason for this arrangement is that the five vibration sensors 230 on the side of the upper body of the bedridden person detect the position in the width direction on the mattress M of the bedridden person, thereby determining that there has been a change in body position. be. In addition, since it is conceivable that the bedridden person changes his/her body position without changing the position in the width direction on the mattress M, the two vibration sensors 230 in the lower body of the bedridden person detect vibrations larger than a predetermined amount. It is made possible to determine that there has been a change in posture.

<Process flow>
A flow of processing of an example of the pressure ulcer risk evaluation method executed by the information processing apparatus 1 will be described with reference to FIG. 3 . FIG. 3 is a flow chart showing the operation of the information processing apparatus 1 of FIG.

As the process of step S101, the detection signal detected by the vibration sensor 230 of the detection device 200 is transmitted to the management device 100 via the communication unit 210 by the operation control unit 220. Therefore, the signal reception unit 151 of the management device 100 It is received via the communication unit 110 . Further, in the signal receiving unit 151, a Fourier transform is performed on the received detection signal as necessary, and a predetermined periodic signal is extracted.

As the process of step S102, the biological information acquisition unit 152 performs necessary analysis from the detection signal received in step S101 and subjected to Fourier transform, and detects the number of respirations and heartbeats of the bedridden person, and changes in the posture of the bedridden person. The biological information of the bedridden person is obtained, such as the time and number of visits, the time and number of times the bedridden person left the bed, weight change of the bedridden person for a certain period of time, and information on the sleeping state of the bedridden person.

FIG. 4 is a schematic diagram showing an example of a state in which the bed B in FIG. 2 has a bed person H lying face up. The bedridden person H on the mattress M shown in FIG. At this time, since the body of the lying person H is placed on the vibration sensors 230b, 230c, 230d, 230f, and 230g, these vibration sensors detect the vibration of the lying person H, specifically the pulsation of the lying person H. and vibrations caused by breathing. For example, the vibration sensors 230c and 230f on which the vicinity of the center of gravity of the bedridden person H is placed detect a strong signal level, and the signal level of the detection signal by the vibration sensor at this time is strong. Sensors 230b, 230d and 230g detect weak signal levels.

For example, when the bedridden person H shown in FIG. lie down. At this time, the vibration sensors 230b, 230c, 230d, 230f, and 230g detect strong signal level detection signals due to the vibration of the bedridden person H. Based on such a change in the detection signal, the biometric information of the bedridden person H is acquired in the biometric information acquisition unit 152 .

As the process of step S103, the pressure ulcer risk evaluation unit 153 selects the pressure ulcer risk model stored in the pressure ulcer risk model DB 141, based on the biometric information of the bedridden person acquired in step S102. the risk of causing

FIG. 5 is a graph showing an example of changes in the position of the center of gravity according to the analysis results of changes in the body position of the person H in FIG. The curve L of the graph shown in FIG. 5 is obtained by analyzing the detection signals of the vibration sensors 230a to 230g due to the vibration of the bedridden person H shown in FIG. is shown as a time chart. Times T1 to T10 on the time chart indicate times of large or small changes in body position determined by the biological information acquisition unit 152, and times T2, T4, T6, and T9 indicated by solid lines indicate large changes in position, and times T9 indicated by solid lines indicate large changes in position. , indicate small changes in posture.

For example, before and after times T1 to T10 shown in FIG. 5, it can be seen that the movement direction of the center of gravity position changes. In addition to such a change in body position, a large or small change in body position is determined from the intensity of the signal level. The pressure ulcer risk evaluation unit 153 evaluates that there is a pressure ulcer risk when, for example, the number of large changes in body position tends to decrease or when the time interval is widening.

As the process of step S104, the notification unit 154 determines whether or not the evaluation result of step S103 indicates that the pressure ulcer risk is higher than a predetermined value. If it is higher, the process of step S105 is performed, and if it is not higher, the process ends.

As the process of step S105, the notification unit 154 notifies the bedridden person evaluated that the pressure ulcer risk is higher than a predetermined level, for example, that the pressure ulcer risk is higher than a predetermined level. This makes it possible to recognize the bed ulcer risk of the bedridden person.

<effect>
As described above, in the information processing apparatus and the pressure ulcer risk evaluation method according to the present embodiment, the detection device having the vibration sensor for detecting the vibration of the bedridden person is attached to the mattress of the bed, and the biological information acquisition unit detects the vibration of the vibration sensor. The biometric information of the bedridden person is acquired from the detection signal, and whether or not there is a risk of developing a bed sore is evaluated by the pressure ulcer risk evaluation unit. Since the notification unit identifies and notifies a bed ulcer who has a predetermined or higher pressure ulcer risk, it is possible to recognize the pressure ulcer risk. This enables early detection of the risk by evaluating the risk of developing a pressure ulcer in a bedridden person, so that the risk of developing a pressure ulcer can be reduced by providing guidance to the bedridden person.

In addition, the biometric information that is the target of pressure ulcer risk assessment includes the number of times the person is breathing and heartbeat, the time and number of times the person changes position, the time and number of times the person leaves the bed, and the weight of the person over a certain period of time. Not only short-term biometric information but also long-term biometric information, such as information on changes, is included. Enables risk assessment.

(Embodiment 2)
FIG. 6 is a functional block configuration diagram showing the management device 100A of the information processing device 1 according to the second embodiment of the present disclosure. This management device 100A receives a vibration signal from the bedridden person from the detection device 200, manages biometric information such as changes in body position, evaluates the risk of developing pressure ulcers in the bedridden person from the biometric information, and notifies the results. It is the same as the management device 100 according to the first embodiment in that it does so, but differs from the management device 100 according to the first embodiment in that a machine learning unit 155 is provided as a function of the control unit 150 .

Embodiment 1 is an embodiment in which machine learning for generating the pressure ulcer risk model DB 141 used in the pressure ulcer risk evaluation unit 153 is performed by another device and the pressure ulcer risk model DB 141 is acquired. Machine learning for generating the pressure ulcer risk model DB 141 is performed by the management device 100A.

The machine learning unit 155 performs machine learning for generating the pressure ulcer risk model DB 141 used by the pressure ulcer risk evaluation unit 153 on the biometric information of the bedridden person managed by the management device 100A. Specifically, the information obtained by the biological information acquisition unit 152 includes information on the time and the number of times the bedridden person changed his/her posture, information on weight change of the bedridden person for a certain period of time, information on the sleeping state of the bedridden person, Based on information such as the time and number of times the person leaves the bed, supervised machine learning is performed using, as not limitation, data when a bed ulcer develops in a bed ulcer as teacher data. Model information generated by machine learning is stored in the pressure ulcer risk model DB 141 .

Machine learning by the machine learning unit 155 is performed in a form independent of the processing flow of the pressure ulcer risk evaluation method in the first embodiment. For example, it is performed based on the biometric information of the bedridden person acquired by the biometric information acquiring unit 152 at a specific period or timing. Other configurations and processing flows are the same as in the first embodiment.

An example of machine learning by the machine learning unit 155 will be described below. From the vibration data of the bedridden person (cared person) acquired by the biological information acquisition unit 152, large body movements such as voluntary tossing and turning, position changes by caregivers, and diaper changes, and part of the body consciously or unconsciously The act of vibrating, the so-called poverty extortion, is separated. Specifically, as described above, this division is performed by dividing a small change in body position from a large change in body position. By storing such steady state data and large body motion data, a machine learning model is constructed that, by way of example and not limitation, determines the signal level sensed by the sensor.

In addition, the machine learning unit 155 acquires the frequency of body movements of the bedridden person over a long period of time (for example, several months to several years), and learns the body movement frequency and its tendency for each bedridden person. For example, if the frequency of body movement decreases over time, or if the time zone of body movement changes, there is an increase in no body movement for a certain period of time (e.g., 2 hours). In such a case, supervised machine learning is performed using data with a high risk of developing pressure ulcers as teacher data, such as when the body suddenly stops moving.

Furthermore, the machine learning unit 155 determines the orientation of the body of the bedridden person (orientation) from the vibration data of the bedridden person as described above, and learns the tendency individually. Then, supervised machine learning is performed using data with a high risk of developing pressure ulcers from that tendency as teacher data. The machine learning performed by the machine learning unit 155 may perform the above-described machine learning individually to evaluate the risk of developing a pressure ulcer, or may perform a comprehensive evaluation. Furthermore, this information may be combined with information on the position of the device on which the cared person rests, for example, the bed of a bedridden person.

According to this embodiment, in addition to the effects of the first embodiment, machine learning for generating model information is performed based on the biometric information of the bedridden person managed by the management device. This makes it possible to generate more accurate model information.

(Embodiment 3)
FIG. 7 is a block configuration diagram showing an information processing device 1B according to Embodiment 3 of the present disclosure. This information processing device 1B is the same as the information processing device 1 according to Embodiment 1 in that it manages biological information such as changes in the posture of a bedridden person and evaluates the risk of the bedridden person developing a pressure ulcer. The information processing apparatus 1 differs from the information processing apparatus 1 according to the first embodiment in that it includes a management apparatus 100B, a detection apparatus 200, a network NW, and a mobile terminal 300. FIG.

In this embodiment, the notification unit of the management apparatus outputs the warning to the portable terminal as the output destination. Workers such as staff members in medical institutions, nursing care facilities, etc. are busy and have limited time to look at the display section of the management device.

The mobile terminal 300 is configured by a mobile terminal including a smart phone and a mobile phone as an example and not a limitation. The portable terminal 300 displays, for example, a pop-up of the warning information transmitted from the management device 100B, and outputs it so that the worker can recognize that the warning is output. Moreover, the portable terminal 300 may output a warning by voice. Other configurations and processing flows are the same as in the first embodiment.

According to this embodiment, in addition to the effects of Embodiments 1 and 2, since a mobile terminal is provided and a warning is output to the mobile terminal, it is possible to reliably recognize that a warning is being output. Thereby, it is possible to reliably recognize the information on the bed sore development risk of the bedridden person.

(Embodiment 4 (program))
FIG. 815 is a functional block diagram showing an example of the configuration of the computer (electronic calculator) 700. As shown in FIG. A computer 700 includes a CPU 701 , a main memory device 702 , an auxiliary memory device 703 and an interface 704 .

Here, a control program (decubitus risk assessment program). These functional blocks are implemented in computer 700 . The operations of these components are stored in the auxiliary storage device 703 in the form of programs. The CPU 701 reads out the program from the auxiliary storage device 703, develops it in the main storage device 702, and executes the above processing according to the program. Further, the CPU 701 secures a storage area corresponding to the above-described storage unit in the main storage device 702 according to the program.

Specifically, in the computer 700, the computer 700 includes a signal receiving step of receiving a detection signal from a sensor that detects the vibration of the bedridden person, and based on the received detection signal, a pressure ulcer risk evaluation step of evaluating the risk of developing a pressure ulcer in a bedridden person based on the biological information from a pressure ulcer risk model indicating the relationship between the biological information and the risk of developing a pressure ulcer; is a control program that realizes by a computer.

Note that the auxiliary storage device 703 is an example of a non-temporary tangible medium. Other examples of non-transitory tangible media include magnetic disks, magneto-optical disks, CD-ROMs, DVD-ROMs, semiconductor memories, etc. that are connected via interface 704 . Further, when this program is distributed to the computer 700 via a network, the computer 700 receiving the distribution may develop the program in the main storage device 702 and execute the above process.

Also, the program may be for realizing part of the functions described above. Furthermore, the program may be a so-called difference file (difference program) that implements the above-described functions in combination with another program already stored in the auxiliary storage device 703 .

Although the disclosed embodiments have been described above, they can be implemented in various other forms, and can be implemented with various omissions, substitutions, and modifications. These embodiments, modifications, omissions, substitutions and changes are included within the technical scope of the claims and their equivalents.

1, 1B information processing device, 100, 100A, 100B management device, 110 communication unit, 120 display unit, 130 operation unit, 140 storage unit, 141 pressure ulcer risk model DB, 150 control unit, 151 signal reception unit, 152 biometric information acquisition Unit, 153 Pressure ulcer risk evaluation unit, 154 Notification unit, 155 Machine learning unit, 200 Detection device, 210 Communication unit, 220 Operation control unit, 230 Vibration sensor, 300 Mobile terminal, NW network

Claims (10)

An information processing device, comprising: a device in which a care recipient entrusts his/her body; and a management device for managing biometric information of the care recipient who entrusts his/her body in said appliance, and performs pressure ulcer development risk evaluation of said care recipient,
The appliance comprises a sensor for detecting vibration of the care-receiver,
The management device
a signal receiving unit that receives a detection signal from the sensor;
a biometric information acquiring unit that acquires the biometric information of the cared person based on the received detection signal;
a pressure ulcer risk evaluation unit that evaluates the risk of the care recipient developing a pressure ulcer based on the biometric information, from information on pressure ulcer risk that indicates the relationship between the biometric information and the risk of developing a pressure ulcer ;
a machine learning unit that performs machine learning based on the biometric information and generates information about the pressure ulcer risk ,
The biological information acquisition unit acquires sleep state information of the care recipient as the biological information based on the detection signal,
The information about the pressure ulcer risk is model information generated by machine learning based on the biometric information including the sleeping state information of the care recipient,
The pressure ulcer risk evaluation unit is an information processing device that evaluates the risk of the care recipient developing a pressure ulcer based on the biometric information including the sleeping state information of the care recipient. The information on the pressure ulcer risk further includes the biometric information including one or more of information on changes in body position of the care-receiver, information on changes in body weight of the care-receiver, and information on getting out of bed of the care-receiver. 2. The information processing apparatus according to claim 1 , wherein the model information is generated by machine learning based on. When the signal level of the detection signal changes by a predetermined threshold value or more and the change in the detection signal continues for a predetermined time or longer, the biological information acquisition unit determines that the cared person has changed in posture, and determines that the cared person has changed in posture. The information processing apparatus according to claim 2 , which is acquired as the caregiver's postural change information. The bedding on which the cared person lies has a plurality of the sensors,
When it is determined from the detection signals from the plurality of sensors that the vibration applied to one of the sensors has changed to the vibration applied to the other sensor, the biological information acquisition unit adjusts the body position of the cared person. 4. The information processing apparatus according to claim 2, wherein it determines that there has been a change, and acquires the position change information of the care-receiver. The pressure ulcer risk evaluation unit evaluates that the risk of developing a pressure ulcer in the care recipient is high if the care recipient's position change information does not detect the care recipient's position change for a predetermined time or longer. The information processing apparatus according to any one of claims 2 to 4 . The pressure ulcer risk evaluation unit determines that the risk of the care recipient developing a pressure ulcer is high when the number of times the care recipient changes his or her posture in a predetermined time tends to decrease in the position change information of the care recipient. The information processing apparatus according to any one of claims 2 to 5 , which is evaluated. According to claim 2 , the pressure ulcer risk evaluation unit evaluates that the risk of developing a pressure ulcer is high in the care-receiver when the weight of the care-receiver tends to decrease in the weight change information of the care-receiver. The information processing apparatus according to claim 6 . The information processing apparatus according to any one of claims 1 to 7, further comprising a notification unit that outputs a predetermined notification when the care-receiver has a predetermined risk of developing a pressure ulcer. A pressure ulcer risk assessment method for managing the biometric information of the care recipient in a device in which the care recipient entrusts the body, and evaluating the risk of developing pressure ulcers of the care recipient,
a signal receiving step of receiving a detection signal from a sensor, which is provided in the appliance and which detects the vibration of the care recipient, performed by the signal receiving unit;
a biological information acquisition step of acquiring the biological information of the cared person based on the received detection signal, performed by the biological information acquisition unit;
A pressure ulcer risk evaluation step of evaluating the risk of the care-receiver developing a pressure ulcer based on the biometric information, performed by the pressure ulcer risk assessment unit, from the information on the pressure ulcer risk indicating the relationship between the biometric information and the risk of developing a pressure ulcer. and,
a machine learning step in which a machine learning unit performs machine learning based on the biometric information to generate information about the pressure ulcer risk ;
The biological information acquisition unit acquires sleep state information of the care recipient as the biological information based on the detection signal,
The information about the pressure ulcer risk is model information generated by machine learning based on the biometric information including the sleeping state information of the care recipient,
A pressure ulcer risk evaluation method, wherein the pressure ulcer risk evaluation unit evaluates the risk of the care receiver developing a pressure ulcer based on the biometric information including the sleeping state information of the care receiver. A pressure ulcer risk evaluation program for managing the biometric information of the care recipient in the equipment in which the care recipient entrusts the body, and evaluating the risk of developing pressure ulcers of the care recipient,
a signal receiving step of receiving a detection signal from a sensor provided in the appliance for detecting vibration of the care recipient;
a biometric information acquisition step of acquiring biometric information of the cared person based on the received detection signal;
a pressure ulcer risk assessment step of evaluating the risk of the care recipient developing a pressure ulcer based on the biometric information from the information on pressure ulcer risk that indicates the relationship between the biometric information and the risk of developing a pressure ulcer ;
A pressure ulcer risk assessment program for causing a computer to execute a machine learning step of performing machine learning based on the biometric information and generating information related to the pressure ulcer risk ,
In the biometric information acquisition step, sleep state information of the cared person is acquired as the biometric information based on the detection signal,
The information about the pressure ulcer risk is model information generated by machine learning based on the biometric information including the sleeping state information of the care recipient,
A pressure ulcer risk evaluation program, wherein, in the pressure ulcer risk evaluation step, the risk of the care recipient developing a pressure ulcer is evaluated based on the biometric information including the sleep state information of the care recipient.

Images