JP2020174967A - Information processing device, bedsore risk evaluation method, and bedsore risk evaluation program - Google Patents

Abstract

To provide an information processing device, method, and program for managing biological information of a bedridden person and evaluating a bedsore development risk of the bedridden person.SOLUTION: A management device 100 in an information processing device 1 comprises as its functions: a signal reception unit 151 for receiving a detection signal from a vibration sensor 230 provided in a detection device 200; a biological information acquisition unit 152 for acquiring biological information of a bedridden person from the detection signal; a bedsore risk evaluation unit 153 for evaluating a bedsore development risk of the bedridden person from a bedsore risk model indicating the relation between biological information of the bedridden person and a bedsore development risk; and an information unit 154 for giving information that the bedsore risk has become higher than a predetermined level.SELECTED DRAWING: Figure 1

Description

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 device in which the care recipient entrusts the body and evaluating the pressure ulcer development risk of the care recipient.

Among inpatients and residents in medical institutions and nursing homes, inpatients and residents who have difficulty in activities on their own and require a high degree of care, especially those who are almost bedridden (hereinafter, "long-term bed rests") ) Can't turn over on its own. When such a long-term bedridden person is bedridden in the same posture, pressure is constantly applied to a part of the body, and blood flow deteriorates. It is known that this causes so-called bedsores, which are called pressure sores.

In medical institutions and long-term care facilities, in order to prevent pressure ulcers in long-term bed rests, a procedure called postural change is performed in which the body of long-term bed rests is changed at predetermined time intervals. Further, in a medical institution, a long-term care facility, etc., in order to ensure that the position change is performed, for example, a time for the position change is set in a care plan showing a daily schedule. However, the workers who change their positions at medical institutions and long-term care facilities are busy, and the work of changing their positions is often not performed according to the care plan. Pressure ulcers can cause serious damage to long-term bed rests and need to be repositioned as planned.

For example, Patent Document 1 discloses a health condition detection device capable of detecting a person's health condition for 24 hours by detecting a person's lung respiratory activity, vibration due to heartbeat, and the like with a vibration sensor. Has been done. The health condition detection device described in Patent Document 1 can detect a change in body position due to turning over or the like by arranging a vibration sensor on the bed.

JP-A-2019-000673

By the way, it is empirically known that there are various risk factors before such a long-term bed rest cannot turn over on his own. For example, it is possible to turn over on its own, and even if the care recipient is in the stage before becoming a long-term bed rest, the physical strength of the elderly will decrease year by year, so the number of times of turning over will gradually decrease. It has been known. It is also known that pressure ulcers develop or worsen not only in bed rests lying on bedding but also in care recipients sitting in wheelchairs. In this way, if it is known in advance that the person cannot turn over on his own and the risk of developing a pressure ulcer is increasing, it can be improved by guidance or rehabilitation. Since the health condition detection device described in Patent Document 1 does not perform such analysis, a device or system for evaluating the risk of developing a pressure ulcer has been desired.

Therefore, in this 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 device in which the care recipient entrusts the body and evaluate the pressure ulcer development risk of the care recipient will be described. To do.

The information processing device in one aspect of the present disclosure includes a device for the care recipient to deposit the body and a management device for managing the biological information of the care recipient who deposits the body in the device, and evaluates the risk of developing pressure ulcers of the care recipient. The device is equipped with a sensor that detects the vibration of the care recipient, and the management device is a signal receiving unit that receives a detection signal from the sensor and receives care based on the received detection signal. Pressure ulcers that evaluate the risk of a care recipient developing a pressure ulcer based on the biometric information from the information on the pressure ulcer risk that shows the relationship between the biometric information and the risk of developing a pressure ulcer. It has a risk assessment department.

The pressure ulcer risk evaluation method in one aspect of the present disclosure is a pressure ulcer risk evaluation method that manages the biometric information of the care recipient in the device in which the care recipient entrusts the body and evaluates the pressure ulcer development risk of the care recipient, and is a signal. Based on the signal reception step of receiving the detection signal from the sensor that detects the vibration of the care recipient provided in the device performed by the receiving unit and the received detection signal performed by the biometric information acquisition unit, the care recipient The care recipient develops a pressure ulcer based on the biometric information from the biometric information acquisition step of acquiring biometric information and the information on the pressure ulcer risk that shows the relationship between the biometric information and the risk of developing a pressure ulcer, which is performed by the pressure ulcer risk evaluation department. It includes a pressure ulcer risk assessment step to assess the risk.

In addition, 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 device in which the care recipient entrusts the body and evaluates the pressure ulcer development risk of the care recipient. , A signal reception step for receiving a detection signal from a sensor for detecting the vibration of the care recipient, and a biometric information acquisition step for acquiring biometric information of the care recipient based on the received detection signal. From the information on the pressure ulcer risk showing the relationship between the biometric information and the risk of developing a pressure ulcer, a pressure ulcer risk evaluation step of evaluating the risk of the care recipient developing a pressure ulcer based on the biometric information is executed by a computer.

According to the present disclosure, the device is provided with a sensor for detecting the vibration of the care recipient, the management device receives the detection signal from the sensor to acquire the biometric information of the care recipient, and the care recipient is based on the biometric information. Assess the risk of developing pressure ulcers. As a result, the risk of developing pressure ulcers can be detected at an early stage by evaluating the risk of developing pressure ulcers of the care recipient, and the risk of developing pressure ulcers can be reduced by providing guidance to the care recipient.

It is a functional block block diagram which shows the information processing apparatus which concerns on one Embodiment of this disclosure. It is a top view which shows an example which arranged the vibration sensor 230 of FIG. 1 on the mattress M of a bed B. It is a flowchart which shows the operation of the information processing apparatus 1 of FIG. It is a schematic diagram which shows an example of the state in which the bed rest H lies on his back on the bed B of FIG. It is a graph which shows an example of the change of the position of the center of gravity by the analysis result of the position change of the bed rest person H of FIG. It is a functional block block diagram which shows the management apparatus of the information processing apparatus which concerns on one Embodiment of this disclosure. It is a block block diagram which shows the information processing apparatus which concerns on one Embodiment of this disclosure. It is a functional block block diagram which shows the computer 700 which concerns on one Embodiment of this disclosure.

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 unreasonably limit the contents of the present disclosure described in the claims. In addition, not all of the components shown in the embodiments are essential components of the present disclosure.

(Embodiment 1)
<Composition>
FIG. 1 is a functional block configuration diagram showing an information processing device 1 according to the first embodiment of the present disclosure. This information processing device 1 is a system that manages biological information such as changes in the position of a care recipient, mainly in medical institutions and nursing care facilities. Postural change is the act of the care recipient turning over on his own to change the direction of the body (body orientation), coughing or sneezing, or consciously or unconsciously vibrating a part of the body, so-called. It is a concept that includes acts such as poverty sneezing. Further, the information processing device 1 is a system for evaluating the pressure ulcer development risk, which is a risk of the care recipient developing a pressure ulcer, based on biological information such as a change in the 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 connected to each other via a network NW. The network NW is a communication network for communication, and is not limited to the Internet, an intranet, a LAN (Local Area Network), a WAN (Wide Area Network), a wireless LAN (Wireless LAN), and a wireless WAN (Wireless LAN). It is composed of a communication network including Wireless WAN (WAN), Virtual Private Network (VPN), and the like. Further, the management device 100 and the detection device 200 may be directly connected by, for example, a USB (Universal Serial Bus) cable or the like, without limitation.

The management device 100 receives a vibration signal from the care recipient from the detection device 200, manages biological information such as a change in body position, evaluates the risk of the care recipient developing decubitus from the biological information, and obtains the result. It is a device for notifying, and is not limited, and is composed of a computer (desktop, laptop, tablet, etc.) that provides various Web services, a device including a server device, and the like. The server device is not limited to a server device that operates independently, and may be a distributed server system that operates in cooperation by communicating via a network NW, or a cloud server.

The detection device 200 is a device that detects vibration when the care recipient changes his / her body position such as turning over or gets up, and is not limited but includes a sensor or the like as an example. The detection device 200 is attached to a device for the care recipient to hold his / her body, 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 the present embodiment, the care recipient is a bed rest lying on the bed, and an example in which the sensor is attached to the bed will be described.

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

The communication unit 110 is a communication interface for communicating with the detection device 200 by wire or wirelessly via the network NW, and any communication protocol may be used as long as mutual communication can be executed. The communication unit 110 is not limited, and for example, communication is performed by a communication protocol such as TCP / IP (Transmission Control Protocol / Internet Protocol).

The display unit 120 is a user interface used for displaying the operation content input from the user who operates the management device 100, for example, the staff of a medical institution, a nursing facility, or the like, or the transmission content from the detection device 200, and is limited. Instead, as an example, it is composed of a device including a liquid crystal display, a touch panel, and a touch display.

The operation unit 130 is a user interface used for a user who operates the management device 100 to input an operation instruction, and is not limited to, but includes, as an example, a device including a keyboard, a mouse, a touch panel, and a touch display.

The storage unit 140 stores programs for executing various control processes and each function in the control unit 150, input data, and the like. The storage unit 140 is not limited, but as an example, a RAM (Random Access Memory) and a ROM (Read Only). It is composed of a memory including a memory) and a storage including an HDD (Hard Disk Drive), an SSD (Solid State Drive), a flash memory and the like. In addition, the storage unit 140 stores the pressure ulcer risk model DB (information on the pressure ulcer risk) 141. Further, the storage unit 140 temporarily stores the data that has communicated with the detection device 200 and the data generated by each process described later.

The pressure ulcer risk model DB 141 is stored as information on the pressure ulcer risk, which is information for evaluating the risk of developing a pressure ulcer by a bed rest person based on the biometric information of the bed rest person. Specifically, for information on the time and number of times the bed rest has changed position, information on the weight change of the bed rest for a certain period, information on the sleeping state of the bed rest, information on the time and number of times the bed rest has left the bed, etc. Based on this, it is model information for evaluating the risk of developing a pressure ulcer in the future for the bed rest. This pressure ulcer risk model DB 141 is information generated by performing machine learning based on the above-mentioned information, and is obtained by acquiring model information generated by performing machine learning by, for example, another device. In addition, the pressure ulcer risk model DB 141 is used by the pressure ulcer risk evaluation unit 153, which will be described later.

The control unit 150 controls the entire operation of the management device 100 by executing a program stored in the storage unit 140, and is not limited, but as an example, a CPU (Central Processing Unit) and an MPU (Micro). Equipment including Processing Unit), GPU (Graphics Processing Unit), microprocessor (Microprocessor), processor core (Processor core), multiprocessor (Multiprocessor), ASIC (Application-Specific Integrated Circuit), FPGA (Field Programmable Gate Array), etc. Consists of. The control unit 150 includes a signal receiving unit 151, a biological information acquisition unit 152, a pressure ulcer risk evaluation unit 153, and a notification unit 154. The signal receiving unit 151, the biological information acquisition unit 152, the pressure ulcer risk evaluation unit 153, and the notification 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 the detection signal from the sensor included in the detection device 200 from the detection device 200 via the communication unit 110. This detection signal includes, but is not limited to, an example, a time-series waveform signal indicating a change in voltage or current.

Further, the signal receiving unit 151 performs a Fourier transform on the detected signal by decomposing it into various periodic signals and extracting a predetermined periodic signal. This is because the detection signal, which is a waveform signal, contains noise and therefore makes a correct determination in subsequent processing. Therefore, if the noise is small enough to determine the required signal, it is not necessary to perform the Fourier transform. 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 bed rest by receiving the signal reception unit 151 and analyzing the detection signal obtained by performing a Fourier transform as necessary. The biometric information of a bed rest is not limited, but as an example, the number of breaths and heartbeats of the bed rest, the time and number of times the bed rest has changed position, the time and number of times the bed rest has left the bed (bed rest information), and the bed rest. It is information on the weight change in a certain period of time. In addition, this information is further analyzed to obtain information on the sleep state of the bed rest (sleep state information). For example, the detection signal detected by the sensor for the vibration of the bed rest is determined by the magnitude and cycle of the signal level, whether it is due to the change in the position of the bed rest, the breathing or heartbeat of the bed rest, and the like. It is possible. Therefore, in the biometric information acquisition unit 152, for example, when acquiring information on the position change of a bed rest person, if the signal level of the detection signal changes by a predetermined threshold value or more and the change of the detection signal continues for a predetermined time or more, the bed rest It is determined that the person has changed his / her body position, and the information is acquired as the information on the change in the position of the bed rest person.

For example, when the bed rest is in a stable sleeping state, the signal detected by the sensor is due to the vibration caused by the pulsation of the bed rest and the movement of the diaphragm accompanying breathing, and the vibration caused by the pulsation of the bed rest is, for example. It is about 1 Hz, and the vibration caused by the respiration of the bed rest is, for example, about 0.3 to 0.5 Hz. When a bed rest coughs or vibrates a part of the body consciously or unconsciously, so-called poor swaying, it detects a signal level in a frequency band different from the vibration caused by pulsation and breathing. This signal is determined to be a small change in body position. On the other hand, the vibration resulting from the change in the position of the bed rest is strong, 2 to 8 times the signal level of the small change in position, and continues for about 2 seconds to 3 minutes. The biological information acquisition unit 152 determines that this signal is a large change in body position, and determines that the signal when the bed rest person turns over is a large change in body position.

In addition, the biological information acquisition unit 152 may determine the orientation (body orientation) of the body of the bed rest person. For example, by analyzing a signal obtained by detecting vibration due to a change in the body position of a bed rest person, it is possible to determine what kind of orientation the bed rest person was facing at that time.

The pressure ulcer risk evaluation unit 153 was acquired by the pressure ulcer risk evaluation unit 152 from the pressure ulcer risk model that shows the relationship between the biometric information of the bed rest and the risk of developing the pressure ulcer by the bed rest, which is stored in the pressure ulcer risk model DB 141. Based on the biometric information of the bed rest, the risk of the bed rest developing pressure ulcers is evaluated. As an example, not a limitation, the initial bed rest who entered a nursing facility, etc. can turn over voluntarily, so he frequently turned over as information on the time and number of times he changed his position. Information on large changes in body position is stored so that you can see. However, after a long period of time, the number of major changes in posture gradually decreases, and the time interval may increase. And such bed rests may later be unable to turn over on their own, increasing the risk of pressure ulcers. The pressure ulcer risk evaluation unit 153 evaluates a bed rest person who tends not to detect a large change in body position for a predetermined time or longer as having a pressure ulcer risk.

In addition, as another example, bed rests who have lost weight and tend to be slim compared to when they first entered a nursing facility, etc., gradually decrease the number of major changes in their postures as their physical strength decreases, and the time The intervals may also increase. Such bed rests may later be unable to turn over on their own, increasing the risk of pressure ulcers. The pressure ulcer risk evaluation unit 153 evaluates a bed rest who has such a tendency as having a pressure ulcer risk.

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

The notification unit 154 identifies a bed rest 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. The person to be notified by the notification unit 154 is a person who is responsible for the health condition of the bed rest, such as a care worker in a care facility or a nurse in a hospital. Specifically, for example, when these persons access the information of the bed rest person with the management device 100, a notification that the pressure ulcer risk is increased by a predetermined value or more is given as a warning. The target person of this notification may be the person himself / herself or his / her family. Further, the notification unit 154 may output a voice alert, and the management device 100 may include a voice output device for that purpose, for example, a speaker or the like.

Further, the notification unit 154 may output, for example, a plurality of stages of alerts, for example, when one and a half hours have passed since the time when the body position changed was stored, the notification unit 154 displays the alert in yellow on the display unit 120. A caution display may be performed, and a warning display may be displayed so as to be displayed in red on the display unit 120 when 2 hours have passed. Further, in the case of alert output by voice output, the volume of voice may be increased as time elapses.

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

The communication unit 210 is a communication interface for communicating with the management device 100 by wire or wirelessly via the network NW, and any communication protocol may be used as long as mutual communication can be executed. The communication unit 210 is not limited, and communication is performed by a communication protocol such as TCP / IP as an example.

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 device 100 via the communication unit 210. The operation control unit 220 is not limited to the CPU, MPU, GPU, etc. It is composed.

The vibration sensor (sensor) 230 vibrates a part of the body consciously or unconsciously, such as a change in position when the lie-down person turns over, the lie-down person's breathing and heartbeat, or the lie-down person coughing or squeezing. It is a sensor that detects vibrations such as the act of causing the vibrations, and is not limited to, but is composed of a piezoelectric element or the like that converts vibrations applied from the outside into an electric signal by a piezoelectric effect. The vibration sensor 230 is arranged on a bedding such as a bed mattress on which the bed rest lays, at a position where the bed rest lays down. The vibration sensor 230 may be any sensor that detects the vibration of the bed rest, 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. 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, and is covered with sheets, cushioning material, or the like so as not to come into direct contact with the bed rest. In this way, the reason why the bed rest is arranged so as not to directly touch the bed rest is that touching the bed rest may cause an electric shock or the like, and the bed rest may feel uncomfortable.

As shown in FIG. 2, the arrangement of the vibration sensor 230 on the mattress M is such that the longitudinal direction of the vibration sensor 230 is the vertical direction of the bed rest's body at the place where the upper body is placed when the bed rest is lying on the mattress M. Five sensors are arranged in parallel in the width direction of the bed rest person's body (in order from the left, vibration sensors 230a, 230b, 230c, 230d, 230e), and vibrations occur at the place where the lower body of the bed rest person is placed. Two sensors 230 are arranged in parallel in the vertical direction of the bed rest person's body so that the longitudinal direction of the sensor 230 is along the width direction of the bed rest person's body (vibration sensors 230f, 230 g in order from the top). In the bed B shown in FIG. 2, the upward direction is the head side of the bed rest person, and the downward direction is the foot side of the bed rest person.

The reason for arranging in this way is that the five vibration sensors 230 on the upper body side of the bed rest detect the position in the width direction on the mattress M of the bed rest to determine that the body position has changed. is there. In addition, since it is conceivable that the bed rest person changes his / her body position without changing the position in the width direction on the mattress M, the two vibration sensors 230 of the lower body of the bed rest person detect a large vibration more than a predetermined value. It is possible to determine that there has been a change in body position.

<Processing flow>
The processing flow of an example of the pressure ulcer risk evaluation method executed by the information processing apparatus 1 will be described with reference to FIG. FIG. 3 is a flowchart showing the operation of the information processing device 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 by the operation control unit 220 via the communication unit 210. Therefore, the signal reception unit 151 of the management device 100 It is received via the communication unit 110. In addition, the signal receiving unit 151 performs a Fourier transform on the received detection signal as needed, and extracts a predetermined periodic signal.

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 changes the position of the bed rester by breathing and heartbeats. The biometric information of the bed rest is acquired, such as the time and number of times the bed rest is performed, the time and number of times the bed rest has left the bed, the weight change of the bed rest for a certain period of time, and information on the sleep state of the bed rest.

FIG. 4 is a schematic view showing an example of a state in which the bed rest H lies on his back on the bed B of FIG. The bed rest H on the mattress M shown in FIG. 4 lies, for example, lying on his back at substantially the center of the body of the bed rest H in the width direction. At this time, since the body of the bed rest H is placed on the vibration sensors 230b, 230c, 230d, 230f, 230g, these vibration sensors are the vibration of the bed rest H, specifically the pulsation of the bed rest person H. And vibration due to breathing is detected. The signal level of the detection signal by the vibration sensor at this time is, for example, the vibration sensors 230c and 230f on which the vicinity of the center of gravity of the lying person H is placed detects a strong signal level and vibrates away from the center of gravity of the lying person H. The sensors 230b, 230d, 230g detect a weak signal level.

When the bed rest H shown in FIG. 4 turns to the left (to the right when viewed from the bed rest H), for example, the bed rest H faces left on the mattress M in the width direction of the body of the bed rest H. You will be in a lying state. At this time, the vibration sensors 230b, 230c, 230d, 230f, 230g detect a strong signal level detection signal due to the vibration of the bed rest H. Due to such a change in the detection signal, the biological information acquisition unit 152 acquires the biological information of the bed rest person H.

As the process of step S103, the pressure ulcer risk evaluation unit 153 develops a pressure ulcer from the pressure ulcer risk model stored in the pressure ulcer risk model DB 141 based on the biological information of the bed rest obtained in step S102. The risk of causing pressure ulcers is evaluated.

FIG. 5 is a graph showing an example of a change in the position of the center of gravity according to the analysis result of the change in the body position of the bed rest person H in FIG. The curve L of the graph shown in FIG. 5 analyzes the detection signals of the vibration sensors 230a to 230 g due to the vibration of the bed rest H shown in FIG. 4, and shows the movement state of the center of gravity of the bed rest H on the mattress M in a predetermined day. Is shown as a time chart. Times T1 to T10 on the time chart indicate the time of a large position change or a small position change determined by the biological information acquisition unit 152, and times T2, T4, T6, and T9 shown by a solid line indicate a large position change and a broken line. Times T1, T3, T5, T7, T8, and T10 shown by are small changes in body position.

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

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

As a process of step S105, the notification unit 154 notifies the bed rest who is evaluated to have a pressure ulcer risk higher than a predetermined value, for example, that the pressure ulcer risk is higher than a predetermined value. This makes it possible to recognize the risk of pressure ulcers in bed rests.

<Effect>
As described above, in the information processing device and the pressure ulcer risk evaluation method according to the present embodiment, a detection device provided with a vibration sensor for detecting the vibration of the bed rest is attached to the bed mat, and the vibration sensor is provided by the biological information acquisition unit. The biometric information of the bed rest is acquired from the detection signal of the bed rest, and the pressure ulcer risk evaluation unit evaluates whether or not the bed rest is at risk of developing a pressure ulcer. Since the bed rest person who has a pressure ulcer risk of a predetermined value or more is identified and notified by the notification unit, the pressure ulcer risk can be recognized. As a result, it is possible to detect the risk at an early stage by evaluating the pressure ulcer development risk of the bed rest person, and therefore it is possible to reduce the pressure ulcer development risk by providing guidance to the bed rest person.

In addition, the biological information to be evaluated for pressure ulcer risk includes the number of breaths and heartbeats of the bed rest, the time and number of times the bed rest changed his / her position, the time and number of times the bed rest left the bed, and the weight of the bed rest for a certain period of time. Since it includes not only short-term biometric information such as change information but also long-term biometric information, changes that are difficult for even specialists such as long-term care staff and hospital nurses to notice. Risk assessment becomes possible.

(Embodiment 2)
FIG. 6 is a functional block configuration diagram showing a management device 100A of the information processing device 1 according to the second embodiment of the present disclosure. The management device 100A receives a signal of vibration from the bed rest from the detection device 200, manages biological information such as a change in body position, evaluates the risk of the bed rest developing pressure ulcer from the biological information, and notifies the result. The same as the management device 100 according to the first embodiment, but different from the management device 100 according to the first embodiment in that the machine learning unit 155 is provided as a function of the control unit 150.

The first embodiment is an embodiment in which machine learning for generating the pressure ulcer risk model DB 141 used by the pressure ulcer risk evaluation unit 153 is performed by another device to acquire the pressure ulcer risk model DB 141, but in the present embodiment, 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 for the biometric information of the bed rest person managed by the management device 100A. Specifically, the information on the time and the number of times the bed rest has changed the position, the information on the weight change of the bed rest for a certain period, the information on the sleeping state of the bed rest, and the bed rest acquired by the biological information acquisition unit 152. Based on information such as the time and number of times a person has left the bed, supervised machine learning is performed using the data when the bed rest develops a pressure ulcer as teacher data, not as a limitation. The model information generated by machine learning is stored in the pressure ulcer risk model DB 141.

The 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 bed rested person acquired by the biometric information acquisition unit 152 at a specific time or timing. The other configurations and the flow of processing are the same as those 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 lying person (care recipient) acquired by the biological information acquisition unit 152, large body movements such as voluntary turning over, position change by the caregiver, and diaper change, and a part of the body consciously or unconsciously The act of vibrating the body, the so-called poor diaper, is separated. Specifically, as described above, this separation is performed by separating a small position change and a large position. By storing the data in the stable state and the data of the large body movement in this way, a machine learning model for discriminating the signal level detected by the sensor is constructed as an example, not limited.

In addition, the machine learning unit 155 acquires the frequency of body movements of the bed rest overnight (for example, several months to several years), and learns the frequency of body movements and the tendency of each bed rest. For example, when the frequency of body movement decreases with the passage of time, or when the time zone of body movement changes, the tendency is that there is no body movement for a certain period of time (for example, 2 hours). In this case, supervised machine learning is performed using data with a high risk of developing pressure ulcers as supervised data, such as when the body suddenly stops moving.

Further, the machine learning unit 155 determines the body orientation (body orientation) of the bed rest person from the vibration data of the bed rest person as described above, and individually learns the tendency. Then, based on this tendency, supervised machine learning is performed using data having a high risk of developing pressure ulcers as teacher data. In the machine learning by the machine learning unit 155, the above-mentioned machine learning may be performed individually to evaluate the risk of developing a pressure ulcer, or a comprehensive evaluation may be performed. Further, this information may be combined with an instrument for the care recipient to hold the body, for example, information on the position of the bed rest in the bed.

According to the present embodiment, in addition to the effect of the first embodiment, machine learning for generating model information is performed based on the biological information of the bed rest 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 the third embodiment of the present disclosure. The information processing device 1B is similar to the information processing device 1 according to the first embodiment in that it manages biological information such as a change in the position of the lying person and evaluates the risk of the lying person developing decubitus. It differs from the information processing device 1 according to the first embodiment in that it has a management device 100B, a detection device 200, a network NW, and a mobile terminal 300.

In the present embodiment, the mobile terminal is output as the output destination of the warning by the notification unit of the management device. Workers such as staff in medical institutions and long-term care facilities are busy, and the time spent looking at the display unit of the management device is limited. Therefore, the warning is output to the mobile terminal possessed by the worker.

The mobile terminal 300 is not limited, but is composed of a mobile terminal including a smartphone and a mobile phone as an example. The mobile terminal 300 displays, for example, a pop-up display of warning information transmitted from the management device 100B, and outputs the warning so that the operator can recognize that the warning has been output. Further, the mobile terminal 300 may output a warning by voice. The other configurations and the flow of processing are the same as those in the first embodiment.

According to the present embodiment, in addition to the effects of the first and second embodiments, the mobile terminal is provided and the mobile terminal is made to output a warning, so that it is possible to reliably recognize that the warning is output. This makes it possible to reliably recognize information on the risk of developing pressure ulcers in bed rests.

(Embodiment 4 (Program))
FIG. 815 is a functional block configuration diagram showing an example of the configuration of the computer (electronic computer) 700. The computer 700 includes a CPU 701, a main storage device 702, an auxiliary storage device 703, and an interface 704.

Here, a control program (decubitus) for realizing each function constituting the signal receiving unit 151, the biological information acquisition unit 152, the pressure ulcer risk evaluation unit 153, the notification unit 154, and the machine learning unit 155 according to the first to third embodiments. The details of the risk assessment program) will be explained. These functional blocks are implemented in the computer 700. The operation of each of these components is stored in the auxiliary storage device 703 in the form of a program. The CPU 701 reads the program from the auxiliary storage device 703, expands it to 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-mentioned storage unit in the main storage device 702 according to the program.

Specifically, in the computer 700, the program is based on a signal receiving step of receiving a detection signal from a sensor for detecting the vibration of the bed rest provided on the bed rest and the received detection signal, and the living body of the bed rest. A pressure ulcer risk evaluation step that evaluates the risk of a bed rest person developing a pressure ulcer based on the biometric information from a pressure ulcer risk model that shows the relationship between the biometric information acquisition step for acquiring information and the risk of developing a pressure ulcer. It is a control program that realizes by computer.

The auxiliary storage device 703 is an example of a tangible medium that is not temporary. Other examples of non-temporary tangible media include magnetic disks, magneto-optical disks, CD-ROMs, DVD-ROMs, semiconductor memories, etc. connected via interface 704. When this program is distributed to the computer 700 via the network, the distributed computer 700 may expand the program to the main storage device 702 and execute the above processing.

Further, the program may be for realizing a part of the above-mentioned functions. Further, the program may be a so-called difference file (difference program) that realizes the above-mentioned function in combination with another program already stored in the auxiliary storage device 703.

Although the embodiments related to the disclosure have been described above, these can be implemented in various other embodiments, and can be implemented by making various omissions, substitutions, and changes. These embodiments and modifications, as well as those omitted, replaced and modified, are included in the technical scope of the claims and the equivalent scope thereof.

1,1B information processing device, 100, 100A, 100B management device, 110 communication unit, 120 display unit, 130 operation unit, 140 storage unit, 141 decubitus risk model DB, 150 control unit, 151 signal receiver, 152 biometric information acquisition Department, 153 Decubitus risk evaluation unit, 154 Notification unit, 155 Machine learning unit, 200 detector, 210 communication unit, 220 motion control unit, 230 vibration sensor, 300 mobile terminal, NW network

Claims (12)

It is an information processing device that includes a device for the care recipient to deposit the body and a management device for managing the biological information of the care recipient who deposits the body in the device, and evaluates the risk of developing pressure ulcers of the care recipient.
The device includes a sensor that detects the vibration of the care recipient.
The management device is
A signal receiving unit that receives the detection signal from the sensor, and
A biometric information acquisition unit that acquires biometric information of the care recipient based on the received detection signal, and
An information processing device including a pressure ulcer risk evaluation unit that evaluates the risk of a care recipient developing a pressure ulcer based on the biometric information from information on the pressure ulcer risk showing the relationship between the biometric information and the risk of developing a pressure ulcer. .. The information processing apparatus according to claim 1, further comprising a machine learning unit that performs machine learning based on the biological information and generates information on the pressure ulcer risk. The machine learning unit performs learning for determining whether or not the care recipient has changed his / her posture from the vibration information of the care recipient.
The information processing device according to claim 2, wherein the information on the pressure ulcer risk is information relating to information on a change in the posture of the care recipient and information on the risk of the care recipient developing a pressure ulcer. The information regarding the risk of decubitus is one or more information among the position change information of the care recipient, the weight change information of the care recipient, the sleep state information of the care recipient, and the bed leaving information of the care recipient. The information processing apparatus according to any one of claims 1 to 3, which is model information generated by machine learning based on the biometric information including. When the signal level of the detection signal changes by a predetermined threshold value or more and the change of the detection signal continues for a predetermined time or more, the biometric information acquisition unit determines that the care recipient has changed his / her body position and receives the subject. The information processing device according to claim 4, which is acquired as information on changes in the position of a caregiver. The bedding includes a plurality of the sensors.
When it is determined that the vibration applied to one of the sensors has changed to the vibration applied to the other sensors from the detection signals from the plurality of sensors, the biometric information acquisition unit positions the person to be cared for. The information processing device according to claim 4 or 5, wherein it is determined that there has been a change and is acquired as the position change information of the care recipient. The pressure ulcer risk evaluation unit evaluates that the care recipient has a high risk of developing a pressure ulcer if the care recipient's position change is not detected for a predetermined time or longer in the position change information of the care recipient. The information processing apparatus according to any one of items 4 to 6. According to the pressure ulcer risk evaluation unit, when the number of changes in the position of the care recipient in a predetermined time tends to decrease in the position change information of the care recipient, the care recipient has a high risk of developing a pressure ulcer. The information processing apparatus according to any one of claims 4 to 7, which is evaluated. From claim 4, the pressure ulcer risk evaluation unit evaluates that the care recipient has a high risk of developing a pressure ulcer when the care recipient's weight tends to decrease in the weight change information of the care recipient. The information processing apparatus according to any one of claim 8. The information processing device according to any one of claims 1 to 9, further comprising a notification unit that outputs a predetermined notification when the care recipient has a risk of developing a pressure ulcer or more. It is a pressure ulcer risk evaluation method that manages the biometric information of the care recipient in the device in which the care recipient entrusts the body and evaluates the risk of developing pressure ulcers of the care recipient.
A signal receiving step performed by the signal receiving unit to receive a detection signal from a sensor provided on the device for detecting the vibration of the care recipient.
A biometric information acquisition step of acquiring the biometric information of the care recipient based on the received detection signal performed by the biometric information acquisition unit, and
A pressure ulcer risk evaluation step for evaluating the risk of a person being cared for developing a pressure ulcer based on the information on the pressure ulcer risk, which is performed by the pressure ulcer risk evaluation department and shows the relationship between the biometric information and the risk of developing a pressure ulcer. And a pressure ulcer risk assessment method. It is a pressure ulcer risk evaluation program that manages the biometric information of the care recipient in the device in which the care recipient entrusts the body and evaluates the risk of developing pressure ulcers of the care recipient.
A signal receiving step for receiving a detection signal from a sensor for detecting the vibration of the care recipient provided in the device.
A biometric information acquisition step for acquiring biometric information of the care recipient based on the received detection signal, and
From the information on the pressure ulcer risk showing the relationship between the biometric information and the risk of developing a pressure ulcer, a pressure ulcer risk evaluation step of evaluating the risk of the care recipient developing a pressure ulcer based on the biometric information is executed on a computer. Pressure ulcer risk assessment program to help.

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