JP2022007429A - Information processing device, information processing method, and information processing system - Google Patents

Abstract

To ensure propriety of vital data.SOLUTION: An information processing device includes: a vital data acquisition unit for acquiring vital data measured from an object person; a posture state information acquisition unit for acquiring posture state information indicating a posture state of the object person when the vital data is measured from the object person; and a data determination unit for determining propriety of the vital data acquired by the vital data acquisition unit on the basis of the posture state information acquired by the posture state information acquisition unit.SELECTED DRAWING: Figure 1

Description

The present invention relates to an information processing apparatus, an information processing method, and an information processing system that handle vital data.

Conventionally, there is a vital measuring device that measures vital data (heart rate, respiratory rate, etc.) of a subject. For example, the vital measuring device described in Patent Document 1 includes a detection unit inserted between a subject sleeping on a bed and the bed, and the detection unit detects the respiratory vibration of the subject to detect the subject. It is designed to measure a person's respiratory rate.

Japanese Unexamined Patent Publication No. 2014-131369

By the way, in the conventional vital measuring device, for example, the subject is sleeping in a stable posture without moving significantly and the bed is in close contact with the subject's body (that is, the detection unit is in close contact with the subject's body). It is not possible to measure accurate vital data unless it is in the state of being in bed. On the other hand, the conventional vital measuring device can measure vital data even when the detection unit is not in close contact with the subject's body, for example, when the subject sits on the edge of the bed, so that the vital data is valid. There was a problem with sex.

The present invention has taken the above points into consideration, and attempts to propose an information processing device, an information processing method, and an information processing system capable of ensuring the validity of vital data.

The information processing apparatus of the present invention has a vital data acquisition unit that acquires vital data measured from a target person, and posture state information indicating the posture state of the target person when the vital data is measured from the target person. The attitude state information acquisition unit to be acquired and the data determination unit for determining the validity of the vital data acquired by the vital data acquisition unit based on the attitude state information acquired by the attitude state information acquisition unit. Be prepared.

Further, the information processing method of the present invention includes a step in which the vital data acquisition unit acquires vital data measured from the subject, and the subject when the posture state information acquisition unit measures the vital data from the subject. The step of acquiring the posture state information indicating the posture state of the above, and the data determination unit of the vital data acquired by the vital data acquisition unit based on the attitude state information acquired by the attitude state information acquisition unit. It has a step to determine the legitimacy.

Further, the information processing system of the present invention is an information processing system including a sensor terminal and an information processing device connected to the sensor terminal, and the sensor terminal is the vital data of the subject based on the output of the vital sensor. Attitude state information that generates attitude state information indicating the attitude state of the subject when the vital data is measured based on the output of the vital measurement unit that measures the vital data and the sensor provided separately from the vital sensor. The information processing apparatus includes a generation unit, a vital data acquisition unit that acquires the vital data from the sensor terminal, a posture state information acquisition unit that acquires the posture state information from the sensor terminal, and the posture state. It has a data determination unit for determining the validity of the vital data acquired by the vital data acquisition unit based on the posture state information acquired by the information acquisition unit.

In this way, by determining the validity of the vital data based on the posture state information when the vital data was measured from the subject, it seems that the measured vital data was measured correctly. It can be distinguished from those that are not.

Thus, the present invention can realize an information processing device, an information processing method, and an information processing system capable of ensuring the validity of vital data.

It is a figure which shows the whole structure of a care support system. It is a figure which shows the structure of the sensor data transmitted from the bed leaving sensor terminal to the bed leaving sensor server. It is a figure which shows the type of data recorded in the sensor data recording part of the getting-out sensor server. It is a figure which shows the structure of the sensor data table registered in the database of a sensor data recording part, and the data table after determination. It is a flowchart which shows the procedure of the vital justification determination method by a bed leaving sensor server. It is a flowchart which shows the procedure of the vital display method by a bed leaving sensor server.

Hereinafter, embodiments for carrying out the invention (hereinafter, referred to as embodiments) will be described in detail with reference to the drawings.

[1. Overall configuration of long-term care support system]
First, with reference to FIG. 1, the overall configuration of the long-term care support system 1 according to the present embodiment will be described. This long-term care support system 1 is, for example, a system that supports a long-term care service for a user (target person) by a long-term care staff working in a long-term care facility. The care support system 1 includes a bed leaving sensor terminal 10 as a sensor terminal prepared for each user, a bed leaving sensor server 20 as an information processing device connected to a plurality of bed leaving sensor terminals 10 via a network NT, and the bed leaving sensor server 20. It is composed of a display terminal 30 connected to a bed leaving sensor server 20 via a network NT. The long-term care support system 1 shown in FIG. 1 is an example in which one bed leaving sensor terminal 10 is connected to the bed leaving sensor server 20, but when there are a plurality of users, the bed leaving sensor server 20 is connected to the user. A plurality of bed-leaving sensor terminals 10 prepared for each are connected. Further, the bed leaving sensor server 20 is connected to the network NT via, for example, the WIFI router 40.

The user's bed leaving sensor terminal 10 is installed, for example, in the user's room, is connected to the floor sensor 11, the end sitting position sensor 12, and the vital sensor 13, and includes a waveform analysis unit 14 and a communication unit 15. The floor sensor 11, the end sitting position sensor 12, and the vital sensor 13 are each laid on the user's bed and are connected to the bed leaving sensor terminal 10 by wire or wirelessly.

The bed sensor 11 is a sensor for detecting whether or not the user's posture state (hereinafter referred to as a posture state) is a state of sleeping on a bed (this is referred to as being in bed or lying down). It is provided with a piezoelectric sensor 11A capable of measuring the pressure applied to the bed and an electrostatic sensor 11B capable of measuring the state and degree of contact when the human body is in contact with the bed, and the sensors are periodically output from each. The sensor value is sent to the bed leaving sensor terminal 10. Here, the sensor value output from the piezoelectric sensor 11A is referred to as a floor piezoelectric sensor value, and the sensor value output from the electrostatic sensor 11B is referred to as a floor electrostatic sensor value. The floor piezoelectric sensor value and the electrostatic sensor value are output as voltage values.

The end sitting position sensor 12 is a sensor for detecting whether or not the user's posture state is sitting on the edge of the bed (this is called the end sitting position), and is a sensor for detecting whether or not the user is sitting on the edge of the bed (this is called an end sitting position), and is a piezoelectric sensor 12A and an electrostatic sensor 12B. And, the sensor value (voltage value) periodically output from each is sent to the bed leaving sensor terminal 10. For example, the floor sensor 11 is laid in the center of the bed, and the end sitting position sensor 12 is laid at the end of the bed.

The vital sensor 13 is a sensor for detecting the vital data of the user (heart rate and respiratory rate as an example in the present embodiment), and includes a piezoelectric sensor 13A and an electrostatic sensor 13B, and periodically from each of them. The output sensor value (voltage value) is sent to the bed leaving sensor terminal 10. The floor sensor 11, the sitting position sensor 12, and the vital sensor 13 are known techniques, and detailed description thereof will be omitted. That is, the vital sensor 13 is in a state where the user is sleeping on the bed in a stable posture without making a large movement and the bed is in close contact with the user's body (specifically, the back) as in the conventional case (that is, the user). Accurate vital data cannot be measured unless the vital sensor 13 is in close contact with the body of the body.

The waveform analysis unit 14 of the bed leaving sensor terminal 10 periodically (for example, at intervals of several ms) outputs sensor values from each of the bed sensor 11, the sitting position sensor 12, and the vital sensor 13 at regular time intervals (for example, 1). By analyzing the waveform every minute) and quantitatively evaluating it, the posture state of the user is judged and the vital data is measured.

Specifically, the waveform analysis unit 14 has a sensor value extracted at regular intervals from the waveform of the sensor values (bed-bed piezoelectric sensor value and bed-based electrostatic sensor value) periodically output by the bed-based sensor 11. , The posture state of the user at the time of vital data measurement is the state of sleeping on the bed by using the sensor value extracted at regular intervals from the waveform of the sensor value periodically output by the end sitting position sensor 12. Whether it is (being in bed), sitting on the edge of the bed (in the sitting position), or not on the bed (this is called getting out of bed). do. Further, the waveform analysis unit 14 uses the waveform of the sensor value periodically output by the vital sensor 13 to obtain the user's vital data (heart rate and respiratory rate as an example in this embodiment) at regular time intervals. measure. The determination of the posture state and the measurement of vital data performed by the waveform analysis unit 14 are also known techniques, and detailed description thereof will be omitted.

The communication unit 15 is an interface that communicates with the bed leaving sensor server 20, and is used to determine the user's posture state (bed, sitting position, leaving bed) determined by the waveform analysis unit 14 and the posture state. Three data, the floor piezoelectric sensor value and the floor electrostatic sensor value, and the vital data measured by the waveform analysis unit 14, are periodically (for example, every minute) transmitted to the bed leaving sensor server 20.

Here, FIG. 2 shows the structure of the sensor data SD including the above-mentioned three data transmitted to the bed leaving sensor server 20 by the communication unit 15. This sensor data SD is data created by the waveform analysis unit 14, and is "time", "terminal ID", "attitude state", "bed-bed piezoelectric sensor value", "bed-bed electrostatic sensor value", and "bed-bed electrostatic sensor value". One data set consists of seven items, "heart rate" and "respiratory rate".

In "time", the date and time when this sensor data SD was created is described. The "terminal ID" is a terminal ID that can uniquely identify the bed leaving sensor terminal 10. This terminal ID is registered in the bed leaving sensor terminal 10. The "posture state" is the posture state of the user determined by the waveform analysis unit 14. Specifically, the "posture state" is "1" if the posture state is on the floor, "2" if the posture state is out of bed, and "3" if the posture state is the end sitting position.

The "bed-bed piezoelectric sensor value" and "bed-bed electrostatic sensor value" are the bed-based piezoelectric sensor value and the bed-based electrostatic sensor value (that is, the same data) used by the waveform analysis unit 14 to determine the posture state of the user. The value of the piezoelectric sensor in bed and the value of the electrostatic sensor in bed used to determine the "attitude state" in the set). The "heart rate" and the "respiratory rate" are the heart rate and the respiratory rate per minute measured by the vital sensor 13.

Returning to FIG. 1, the bed leaving sensor server 20 is installed in, for example, a machine room (machine room) and includes a communication unit 21, a sensor data recording unit 22, a data determination unit 23, and a screen display unit 24. .. The bed leaving sensor server 20 has a computer configuration including a CPU, a memory, a recording device, and various interfaces, and functions as a bed leaving sensor server 20 when the CPU executes a program installed in the recording device.

The communication unit 21 of the bed leaving sensor server 20 is an interface for communicating with the user's bed leaving sensor terminal 10 and the display terminal 30, and receives, for example, the sensor data SD transmitted from the user's bed leaving sensor terminal 10. The sensor data recording unit 22 includes, for example, a recording device such as a hard disk, and records various data (details will be described later) such as sensor data SD transmitted from the user's bed leaving sensor terminal 10 in the recording device. The data determination unit 23 determines the validity (whether or not the data is correctly measured) of the vital data (heart rate and respiratory rate) included in the sensor data SD recorded in the sensor data recording unit 22. The details of this determination method will be described later. The screen display unit 24 generates screen data for display on the display terminal 30 or the like based on various data recorded in the sensor data recording unit 22.

Here, various data recorded in the sensor data recording unit 22 will be briefly described with reference to FIGS. 3 and 4. The sensor data recording unit 22 records the sensor data SD, the post-determination data JD, the user profile UP, and the sensor threshold value TH. Of these, the sensor data SD and the post-determination data JD are stored and managed by the database DB constructed in the sensor data recording unit 22.

Specifically, the sensor data table ST shown in FIG. 4A is created in the database DB, and the sensor data SD is stored and managed by the sensor data table ST. The sensor data table ST has a structure that matches the sensor data SD, and has a structure of "time", "terminal ID", "posture state", "bed-bed piezoelectric sensor value", "bed-bed electrostatic sensor value", and "heart rate". , And "respiratory rate".

Further, the post-determination data table JT shown in FIG. 4B is created in the database DB, and the post-determination data JD is stored and managed by the post-determination data table JT. The post-determination data JD is data obtained by adding a "validity flag" indicating the validity (whether or not the measurement is correct) of the vital data included in the sensor data SD to the sensor data SD. Therefore, the post-judgment data table JT that stores and manages the post-judgment data JD has "time", "terminal ID", "posture state", "bed-bed piezoelectric sensor value", "bed-bed electrostatic sensor value", and "heartbeat". It consists of 8 items with "validity flag" added to "number" and "respiratory rate". The "validity flag" is "1" if the vital data is valid (that is, correctly measured), and "2" if it is invalid.

The user profile UP is data indicating the normal range of the user's vital data. Specifically, in the user profile UP, the upper limit value and the lower limit value of the normal heart rate and the upper limit value and the lower limit value of the normal respiratory rate are registered for each user. The user profile UP is input to the bed leaving sensor server 20 by, for example, a doctor in charge of the user or a nurse in charge, and is recorded in the sensor data recording unit 22.

The sensor threshold TH is a threshold set for the piezoelectric sensor value output from the bed sensor 11 of the bed leaving sensor terminal 10 (hereinafter referred to as the piezoelectric sensor threshold) and the piezo sensor value. It is the data which shows the set threshold value (hereinafter, referred to as an electrostatic sensor threshold value). Specifically, the sensor threshold TH includes an upper limit value and a lower limit value of the piezoelectric sensor value in bed and a lower limit value of the electrostatic sensor value in bed as the piezoelectric sensor threshold value and the electrostatic sensor threshold value for each of the bed leaving sensor terminals 10. Is described. Of these, the upper limit value and the lower limit value of the floor piezoelectric sensor value indicate the range that the floor piezoelectric sensor value can take when the user is sleeping on the bed in a stable posture without making a large movement. On the other hand, the lower limit of the floor electrostatic sensor value is the floor electrostatic sensor value when the user's body is in close contact with the bed (that is, when the user's body is in close contact with the vital sensor 13). Shows the minimum possible value.

In the long-term care support system 1, the output of the bed leaving sensor terminal 10 is actually used while the user is lying on the bed in a stable posture without making a large movement and the bed is in close contact with the user's body. It is designed to be adjusted (calibrated) according to the person and the usage environment. The bed leaving sensor terminal 10 has an upper limit value and a lower limit value of the floor piezoelectric sensor value and a bed electrostatic sensor value based on the floor piezoelectric sensor value and the bed electrostatic sensor value obtained at the time of this calibration. A lower limit value is set, and these are set as a sensor threshold value TH and transmitted to the bed leaving sensor server 20 to be recorded by the sensor data recording unit 22. The bed leaving sensor terminal 10 is adapted to perform such calibration on a daily or hourly basis in addition to, for example, the first use. In the present embodiment, the bed leaving sensor terminal 10 automatically sets the sensor threshold value TH by calibration, but the present invention is not limited to this, and for example, a care worker sets the sensor threshold value TH to the bed leaving sensor terminal 10. You may set it manually by inputting to.

The sensor data SD, the post-determination data JD, the user profile UP, and the sensor threshold TH recorded in the sensor data recording unit 22 are linked by the terminal ID of the bed leaving sensor terminal 10, and are associated with each bed leaving sensor terminal 10 (that is, the user). It is managed every). This concludes the description of the various data recorded in the sensor data recording unit 22.

Returning to FIG. 1, the display terminal 30 is a display device installed in, for example, a long-term care staff room in which a long-term care staff is on standby, and is a user based on screen data received from the bed leaving sensor server 20 via the network NT. Display the screen that displays the vital data of. This concludes the explanation of the overall configuration of the long-term care support system 1.

[2. Vital legitimacy judgment method]
Next, the figure shows the vital legitimacy determination method in which the data determination unit 23 of the bed leaving sensor server 20 determines the validity of the vital data (heart rate and respiratory rate) included in the sensor data SD acquired from the bed leaving sensor terminal 10. It will be described in detail with reference to the flowchart shown in 5.

First, in step SP1, the communication unit 21 of the bed leaving sensor server 20 receives the sensor data SD transmitted from the bed leaving sensor terminal 10. In the subsequent step SP2, the sensor data recording unit 22 of the bed leaving sensor server 20 records the sensor data SD by adding the sensor data SD received by the communication unit 21 to the sensor data table ST of the database DB.

In the following step SP3, the data determination unit 23 of the bed leaving sensor server 20 starts the validity determination of the vital data included in the sensor data SD received by the communication unit 21. In the subsequent step SP4, the data determination unit 23 first confirms the "posture state" of the sensor data SD (that is, the posture state of the user whose vital data is measured). Then, the data determination unit 23 proceeds to step SP5 if the confirmed "posture state" is in the sitting position or out of bed, and proceeds to step SP9 if the "posture state" is in bed.

In step SP5, which proceeds when the "posture state" of the sensor data SD is the sitting position or getting out of bed, the data determination unit 23 has the same "terminal ID" as the sensor data SD received this time from the sensor data table ST, and "time". Is included in the range from the present to a predetermined time ago (for example, within the range from the present to 5 minutes ago) to read out the sensor data SD. That is, the data determination unit 23 reads the sensor data SD received from the same bed leaving sensor terminal 10 most recently (within the past 5 minutes) from the sensor data table ST, in addition to the sensor data SD received from the bed leaving sensor terminal 10 this time. ..

In the subsequent step SP6, the data determination unit 23 again "posture state" of the sensor data SD received this time and the "posture state" of the most recently received sensor data SD read in step SP5. Check the "posture state". Specifically, the data determination unit 23 has, for example, a linear array in which the "posture state" of the sensor data SD received this time and the "posture state" of the most recently received sensor data SD are arranged in chronological order. .. Then, for example, when the data determination unit 23 includes a bed at a certain ratio (for example, 50% or more) in the "posture state" in this primary arrangement, the "posture state" is the bed. In other cases, it is determined that the "posture state" is the end sitting position or the bed leaving. The method for determining the "posture state" at this time is an example, and other methods may be used for determination. For example, if all the "posture states" in the primary arrangement are in the end sitting position or out of bed, it is determined that the "posture state" is in the end sitting position or out of bed, and in other cases, the "posture state" is present. It may be determined that it is a floor. Further, among the "posture states" in the primary arrangement, the newer ones may be weighted so as to be heavier, and then the "posture state" may be determined.

As described above, when the "posture state" included in the sensor data SD received this time is the end sitting position or getting out of bed, the data determination unit 23 has the "posture state" of the sensor data SD received this time and the sensor data recording unit 22. The posture state of the user is determined based on the "posture state" of the latest sensor data SD recorded in (within the past 5 minutes). By doing so, the data determination unit 23 can accurately determine the posture state (bed, sitting position, leaving the bed) of the user. In this way, after determining (confirming) the "posture state", the data determination unit 23 proceeds to step SP7 if the confirmed "posture state" is the end sitting position or the bed leaving, and the "posture state" is in bed. If there is, the process proceeds to step SP9.

In step SP7, which proceeds when the "posture state" is the sitting position or getting out of bed, the data determination unit 23 can measure the vital data included in the sensor data SD received this time as a numerical value, but the posture of the user. Since the state is not the state of being in bed, which is the correct posture state when measuring vital data, it is determined that the vital data is invalid and invalid. Then, the data determination unit 23 generates the post-determination data JD based on the sensor data SD received this time and the determination result of the validity of the vital data. Specifically, the data determination unit 23 replaces the "heart rate" and "respiratory rate" included in the sensor data SD received this time with -1 which cannot be taken in a normal state, and sets a "validity flag". Generates post-judgment data JD set to 2 (invalid).

In the following step SP8, the sensor data recording unit 22 of the bed leaving sensor server 20 adds the post-judgment data JD generated by the data determination unit 23 to the post-judgment data table JT of the database DB to obtain the post-judgment data JD. After recording, the series of processes is terminated.

On the other hand, in step SP9, which proceeds when it is confirmed that the "attitude state" is in bed in step SP4 or step SP6 described above, the data determination unit 23 uses the sensor data SD "bed-to-bed piezoelectric" received this time. The "sensor value" is checked (compared) with the upper limit threshold and the lower limit threshold of the piezoelectric sensor value in bed described in the sensor threshold value TH associated with the sensor data SD and the terminal ID.

In the subsequent step SP10, the data determination unit 23 determines that the “bed-bed piezoelectric sensor value” of the sensor data SD received this time is within the range from the upper limit value to the lower limit value of the bed-based piezoelectric sensor value described in the sensor threshold TH. Determine if it fits. Specifically, assuming that the upper limit value of the piezoelectric sensor value in bed described in the sensor threshold value TH is 50 and the lower limit value is -50, the data determination unit 23 is "existing" of the sensor data SD received this time. If the "floor piezoelectric sensor value" is 50 or less and -50 or more, it is determined that the value is within the range.

Here, if the "bed-bed piezoelectric sensor value" of the sensor data SD received this time does not fall within the range from the upper limit value to the lower limit value of the bed-based piezoelectric sensor value described in the sensor threshold TH, this means that this is the case. , The posture state of the user at the time of measuring the vital data (heart rate and respiratory rate) included in the sensor data SD received this time is in bed (confirmed in steps SP4 and SP6), but the movement is large and the posture is stable. It means that it is not in a state where it is not, that is, it is not the correct posture when measuring vital data.

In this case, the data determination unit 23 obtains a negative result in step SP10 and moves to step SP7. In step SP7, the data determination unit 23 can measure the vital data included in the sensor data SD received this time as a numerical value, but the posture state of the user is the correct posture state when measuring the vital data. Since there is no vital data, it is judged to be invalid and invalid. Then, the data determination unit 23 generates post-determination data JD based on the sensor data SD received this time and the determination result of the validity of the vital data, and moves to step SP8. Since the processing of step SP8 has been described above, it will be omitted.

On the other hand, when the "bed-bed piezoelectric sensor value" of the sensor data SD received this time is within the range from the upper limit value to the lower limit value of the bed-based piezoelectric sensor value described in the sensor threshold TH, this is the case. That is, the posture state of the user at the time of measuring the vital data (heart rate and respiratory rate) included in the sensor data SD received this time is in bed (confirmed in steps SP4 and SP6), and the movement is not large and the posture is not large. Means that is in a stable state. For example, in the example shown in FIG. 2, the “in-floor piezoelectric sensor value” of the sensor data SD is 10, from the upper limit threshold value (50) to the lower limit threshold value (-50) of the in-floor piezoelectric sensor value described in the sensor threshold value TH. It is within the range of.

In this case, the data determination unit 23 obtains a positive result in step SP10 and moves to step SP11. In step SP11, the data determination unit 23 describes the “at-bed electrostatic sensor value” of the sensor data SD received this time and the sensor threshold TH associated with the sensor data SD by the terminal ID. Check (compare) with the lower limit of the sensor value.

In the subsequent step SP12, the data determination unit 23 determines whether or not the “bed-bed electrostatic sensor value” of the sensor data SD received this time is equal to or greater than the lower limit of the bed-based electrostatic sensor value described in the sensor threshold value TH. Is determined. Specifically, the data determination unit 23, for example, assuming that the lower limit of the floor electrostatic sensor value described in the sensor threshold TH is 750, the “bed-bed piezoelectric sensor value” of the sensor data SD received this time. Is 750 or more.

Here, when the "at-bed electrostatic sensor value" of the sensor data SD received this time is less than the lower limit value of the at-bed piezoelectric sensor value described in the sensor threshold TH, this means that the sensor data SD received this time. The posture state of the user at the time of measuring the vital data (heart rate and respiratory rate) included in is in bed (confirmed in steps SP4 and SP6), and the movement is large and the posture is stable (step). (Confirmed by SP10) means that the user's body (back) is not in close contact with the bed, that is, the posture is not correct when measuring vital data.

In this case, the data determination unit 23 obtains a negative result in step SP12 and moves to step SP7. In step SP7, the data determination unit 23 can measure the vital data included in the sensor data SD received this time as a numerical value, but the posture state of the user is the correct posture state when measuring the vital data. Since there is no vital data, it is judged to be invalid and invalid. Then, the data determination unit 23 generates post-determination data JD based on the sensor data SD received this time and the determination result of the validity of the vital data, and moves to step SP8. Since the process of step SP8 is described above, it is omitted.

On the other hand, when the "at-bed electrostatic sensor value" of the sensor data SD received this time is equal to or more than the lower limit of the at-bed electrostatic sensor value described in the sensor threshold TH, this is received this time. The posture state of the user at the time of measuring the vital data (heart rate and respiratory rate) included in the sensor data SD is in bed (confirmed in steps SP4 and SP6), and the movement is not large and the posture is stable (step). It means that the user's body (back) is in close contact with the bed (confirmed by SP10). For example, in the example shown in FIG. 2, the “floor electrostatic sensor value” of the sensor data SD is 980, which is equal to or higher than the lower value (980) of the floor electrostatic sensor value described in the sensor threshold value TH. ..

In this case, the data determination unit 23 obtains a positive result in step SP12 and moves to step SP13. In step SP13, the data determination unit 23 can measure the vital data included in the sensor data SD received this time as a numerical value, and the posture state of the user is the correct posture state when measuring the vital data. Therefore, it is judged that the vital data is valid. Then, the data determination unit 23 generates post-determination data JD based on the sensor data SD received this time and the determination result of the validity of the vital data, and moves to step SP8. Specifically, the data determination unit 23 sets the "validity flag" to 1 (valid) while keeping the "heart rate" and "respiratory rate" included in the sensor data SD received this time as they are, and the post-determination data JD. Is generated, and the process proceeds to step SP8. Since the process of step SP8 is described above, it is omitted. This concludes the explanation of the vital legitimacy determination method.

By the way, in the above-mentioned vital validity determination method, the "bed-bed piezoelectric sensor value" of the sensor data SD is within the range from the upper limit value to the lower limit value of the bed-based piezoelectric sensor value set as the sensor threshold TH. After determining whether or not the sensor data is used (this is called threshold determination), the “bed-bed electrostatic sensor value” of the sensor data SD is equal to or higher than the lower limit of the bed-based electrostatic sensor value set as the sensor threshold TH. It was made to judge whether or not there is (that is, threshold judgment). Here, the reason why the threshold value determination of the “bed-bed piezoelectric sensor value” is performed before the threshold value determination of the “bed-bed electrostatic sensor value” will be briefly described.

First, consider the combination pattern of the "bed-bed piezoelectric sensor value" and the "bed-bed electrostatic sensor value". Regarding the "floor piezoelectric sensor value", there are two patterns, one within the upper and lower limit value range and the other outside the upper and lower limit value range, and the "floor electrostatic sensor value" has two patterns, one above the lower limit value and the other below the lower limit value. .. Therefore, the combination pattern of the “bed-bed piezoelectric sensor value” and the “bed-bed electrostatic sensor value” is 4 patterns of 2 × 2.

Here, when the threshold value is individually determined for each of these four patterns to determine the validity of the vital data, the threshold value determination step is increased as compared with the vital validity determination method shown in FIG. 5, and the logic is increased. It gets complicated. That is, in the above-mentioned vital validity determination method, the logic is simplified by performing the threshold value determination of the "bed-bed piezoelectric sensor value" before the threshold value determination of the "bed-bed electrostatic sensor value". There is.

Then, if the threshold value determination of the "floor piezoelectric sensor value" is performed before the threshold value determination of the "floor electrostatic sensor value", at least "at bed" when the user's posture state is at bed. The threshold value determination (step SP10) of the "piezoelectric sensor value" is always executed. Here, the threshold value determination of the "piezoelectric sensor value in bed" is a process of determining whether or not the posture state of the user sleeping on the bed is a stable state without significant movement. Always executing the threshold value determination of the "at-bed piezoelectric sensor value" means that it is always determined whether or not the posture of the user is stable without significant movement.

By doing so, although not described in the flowchart shown in FIG. 5, for example, the data determination unit 23 determines that the posture state of the user who is absolutely rested is a state in which the movement is large and the posture is not stable. When the determination is made continuously a predetermined number of times, the screen display unit 24 generates screen data for notifying the user to confirm the user as having an abnormality in the movement of the user on the bed, and the display terminal 30 generates the screen data. It is possible to display it.

That is, in the above-mentioned vital validity determination method, the threshold determination of the "floor piezoelectric sensor value" (that is, the posture state determination of the user using the "at-floor piezoelectric sensor value") is changed to the "at-floor electrostatic sensor value". By performing before the threshold judgment (that is, the posture state judgment of the user using the "at-bed electrostatic sensor value"), in addition to simplifying the logic, there is an abnormality in the movement of the user on the bed. It is possible to monitor the presence or absence.

For example, when it is not necessary to simplify the logic and monitor the movement of the user on the bed, the threshold values for each of the four combination patterns of "bed-bed piezoelectric sensor value" and "bed-bed electrostatic sensor value" are individually set. It may be determined and the validity of the vital data may be determined.

[3. How to display vital data]
Subsequently, the flowchart shown in FIG. 6 is shown with respect to the vital display method for displaying the vital data included in the post-judgment data JD on the display terminal 30 based on the post-judgment data JD generated by the above-mentioned vital validity determination method. It will be explained using.

When the screen display unit 24 of the bed leaving sensor server 20 receives a screen data request from the display terminal 30 via the communication unit 21, in step SP20, the latest post-determination data JD from the post-determination data table JT of the database DB. Is read, and the "validity flag" of the data JD after the determination is confirmed. When a plurality of post-determination data JDs having different terminal IDs are recorded in the post-determination data table JT, the latest post-determination data JD may be read out for each terminal ID.

In the subsequent step SP21, the screen display unit 24 confirms whether or not the "validity flag" of the post-determination data JD is 1 (that is, whether or not it is valid). Here, when the "validity flag" is 2, this means that the vital data (heart rate and respiratory rate) included in the post-judgment data JD is invalid, and the vital data included in the post-judgment data JD is used. It means that both "heart rate" and "respiratory rate" are -1.

In this case, the screen display unit 24 obtains a negative result in step SP21 and moves to step SP22. In step SP22, the screen display unit 24 creates screen data for displaying the vital data included in the determined data JD as invalid data (minus 1), and moves to the next step SP23. The screen data at this time is, for example, data including post-determination data JD and character information (for example, "vital invalid") indicating that the vital data is invalid. In step SP23, the screen display unit 24 causes the display terminal 30 to display the created screen data by transmitting the created screen data to the display terminal 30 via the communication unit 21. As a result, the display terminal 30 displays, for example, the post-determination data JD (heart rate and respiratory rate minus 1) together with the text information indicating that the vital data is invalid.

On the other hand, when the "validity flag" of the post-judgment data JD is 1, this means that the vital data (heart rate and respiratory rate) included in the post-judgment data JD is legitimate and after the determination. It means that both "heart rate" and "respiratory rate" as vital data included in the data JD are numerical values other than -1.

In this case, the screen display unit 24 obtains a positive result in step SP21 and moves to step SP24. In step SP24, the screen display unit 24 displays the "heart rate" of the post-judgment data JD, and the upper limit value and the lower limit value of the heart rate described in the user profile UP associated with the post-judgment data JD and the terminal ID. And check. Further, the screen display unit 24 checks the "respiratory rate" of the post-judgment data JD and the upper and lower limits of the respiratory rate described in the user profile UP associated with the post-judgment data JD and the terminal ID. do.

In the subsequent step SP25, in the screen display unit 24, both the “heart rate” and the “respiratory rate” of the post-determination data JD are within the range from the upper limit value to the lower limit value described in the user profile UP. Determine if it is.

Here, if both the "heart rate" and the "respiratory rate" of the post-judgment data JD are within the range from the upper limit value to the lower limit value described in the user profile UP, this means that this is true. It means that the vital data included in the post-judgment data JD is a normal numerical value for the user.

In this case, the screen display unit 24 obtains an affirmative result in step SP25 and proceeds to step SP26. In step SP26, the screen display unit 24 creates screen data for displaying the vital data included in the determination data JD as normal data, and moves to the next step SP23. The screen data at this time is, for example, data including post-determination data JD and character information (for example, "vital normal") indicating that the vital data is normal. In step SP23, the screen display unit 24 causes the display terminal 30 to display the created screen data by transmitting the created screen data to the display terminal 30 via the communication unit 21. As a result, the display terminal 30 displays, for example, the post-determination data JD together with the character information indicating that the vital data is normal.

On the other hand, if at least one of the "heart rate" and "respiratory rate" of the post-judgment data JD is not within the range from the upper limit value to the lower limit value described in the user profile UP, this is the case. That means that the vital data included in the post-determination data JD is an abnormal numerical value for the user.

In this case, the screen display unit 24 obtains a negative result in step SP25 and proceeds to step SP27. In step SP27, the screen display unit 24 creates screen data for displaying the vital data included in the determination data JD as abnormal data, and moves to the next step SP23. The screen data at this time is, for example, data including post-determination data JD and character information indicating that the vital data is abnormal (for example, "vital abnormality, confirmation required!"). In step SP23, the screen display unit 24 causes the display terminal 30 to display the created screen data by transmitting the created screen data to the display terminal 30 via the communication unit 21. As a result, the display terminal 30 displays, for example, the post-determination data JD together with the character information indicating that the vital data is abnormal.

In the present embodiment, as an example, character information indicating whether the vital data is invalid, normal, or abnormal is displayed on the display terminal 30 together with the post-determination data JD. Not limited to this, the point is that the form that can tell at a glance whether the vital data is invalid, normal, or abnormal (invalid vital data is displayed as -1; normal vital data is displayed in black, abnormal). The vital data may be displayed in red, etc.), and the vital data may be displayed on the display terminal 30. Further, the present invention is not limited to this, and for example, only abnormal vital data may be displayed. This concludes the explanation of the vital display method.

[4. Summary and effects]
As described above, in the care support system 1 of the present embodiment, the bed leaving sensor terminal 10 is provided with a vital measurement unit and a waveform analysis unit 14 as a posture state information generation unit, and the waveform analysis unit 14 is a vital sensor. When the "heart rate" and "respiratory rate" as vital data are measured based on the output of 13, and the vital data is measured based on the output of the bed sensor 11 and the output of the sitting position sensor 12. "Attitude state", "at-bed piezoelectric sensor value", and "at-bed electrostatic sensor" are generated as attitude state information indicating the user's attitude state.

Further, the bed leaving sensor server 20 is provided with a communication unit 21 as a vital data acquisition unit and a posture state information acquisition unit, and a data determination unit 23, and the communication unit 21 uses the “heart rate” as vital data measured by the user. And, the sensor data SD including the "breathing rate", the "posture state" as the posture state information, the "bed-bed piezoelectric sensor value", and the "bed-bed electrostatic sensor value" is acquired from the bed leaving sensor terminal 10. The data determination unit 23 was acquired by the communication unit 21 based on the "attitude state", the "bed-bed piezoelectric sensor value" and the "bed-bed electrostatic sensor value" as the attitude state information acquired by the communication unit 21. The validity of vital data is judged.

By doing so, the bed leaving sensor server 20 can distinguish the vital data measured by the user into correctly measured data (legitimate vital data) and data that is not (invalid vital data). It will be possible to guarantee the correctness of vital data that is distinguished as correctly measured data.

As a result, in the nursing care support system 1 of the present embodiment, the vital data measured by the user can be displayed on the display terminal 30 in a state of distinguishing whether or not the data is correctly measured, and the nursing care can be performed. The staff can easily confirm the validity of the vital data displayed on the display terminal 30.

As a result, for example, it is possible to reduce unnecessary work such as the care staff looking at the vital data showing an abnormal value because it is not measured correctly and going to the user's room to check it. As a result, care workers will be able to work efficiently. In addition, by being able to carry out work efficiently in this way, caregivers will be able to properly care for users who need immediate confirmation because their vital data show abnormal values. become able to.

Thus, in the long-term care support system 1 of the present embodiment, the safety of the user can be ensured even during the time when the number of long-term care staff is small (for example, during night shift), and the burden on the long-term care staff is reduced. be able to.

Further, in the bed leaving sensor server 20 of the present embodiment, the data determination unit 23 has a "posture state" included in the sensor data SD received from the bed leaving sensor terminal 10 (that is, a "posture state" determined by the bed leaving sensor terminal 10 side. ), After confirming that the user's posture state when the vital data is measured is in bed (sleeping on the bed), the "posture state" further included in the sensor data SD. Based on the "in-floor piezoelectric sensor value" and "in-floor electrostatic sensor value" used for the determination of, the posture state of the user when the vital data is measured is correct when measuring the vital data. It is determined whether or not the user is in a posture state (that is, the user is sleeping in a stable posture without moving significantly and the bed is in close contact with the user's body), and based on this determination result, vitality is determined. The validity of the data is judged.

By doing so, the data determination unit 23 of the bed leaving sensor server 20 is compared with the case where the user's posture state is determined only by the "posture state" included in the sensor data SD received from the bed leaving sensor terminal 10, for example. Therefore, the posture state of the user can be determined more accurately, and the validity of the vital data can be determined more accurately.

Further, the data determination unit 23 of the bed leaving sensor server 20 of the present embodiment determines the posture state of the user by using the “bed-bed piezoelectric sensor value” when determining the validity of the vital data, and then “exists”. The posture state of the user is judged by using the "floor electrostatic sensor value". As a result, the data determination unit 23 of the bed leaving sensor server 20 can simplify the logic for determining the validity of the vital data and can monitor whether or not there is an abnormality in the movement of the user on the bed.

[5. Other embodiments]
[5-1. Other Embodiment 1]
In the above-described embodiment, the data determination unit 23 of the bed leaving sensor server 20 has a “posture state”, a “bed-bed piezoelectric sensor value”, and a “bed-bed electrostatic sensor” as posture state information included in the sensor data SD. Based on the "value", it is determined whether or not the posture state of the user when measuring the vital data is the correct posture state when measuring the vital data.

Here, for example, a camera as an image sensor for photographing the area around the user's bed is connected to the bed leaving sensor terminal 10, and the image data taken by this camera is transmitted by the communication unit 15 of the bed leaving sensor terminal 10 to the sensor data SD. At the same time, it is transmitted to the bed leaving sensor server 20. Then, when the data determination unit 23 of the bed leaving sensor server 20 measures vital data based on, for example, the "posture state" included in the sensor data SD and the image data taken by the camera, the user It may be determined whether or not the posture state is the correct posture state when measuring vital data.

In this case, for example, the sensor data recording unit 22 of the bed leaving sensor server 20 uses the image data actually taken by the camera when the user is sleeping in the bed in the correct posture when measuring the vital data as the reference image data. As, register for each user. Then, the data determination unit 23 of the bed leaving sensor server 20 compares the image data received from the bed leaving sensor terminal 10 with the reference image data registered in the sensor data recording unit 22, and the degree of similarity between them is a predetermined value. In the above cases, it may be determined that the posture state of the user when the vital data is measured is the correct posture state when the vital data is measured.

Not limited to this, of the four posture state information of the "posture state", the "bed-bed piezoelectric sensor value" and the "bed-bed electrostatic sensor value" included in the sensor data SD, and the image data taken by the camera. Some of the above may be used to determine whether or not the posture state of the user when measuring the vital data is the correct posture state when measuring the vital data. For example, the posture state of the user when the vital data is measured using only the "bed-bed piezoelectric sensor value" and the "bed-bed electrostatic sensor value" included in the sensor data SD is when the vital data is measured. It may be determined whether or not the posture is correct. In this case, for example, steps SP4 to SP6 may be omitted from the flowchart shown in FIG.

Furthermore, not limited to this, vital data is measured in addition to the "attitude state", "bed-bed piezoelectric sensor value" and "bed-bed electrostatic sensor value" included in the sensor data SD, and the image data taken by the camera. If there is information that can confirm the posture state of the user at that time, the information may be acquired by the bed leaving sensor server 20 from a sensor or the like and used for determining the posture state of the user. In the above-described embodiment, the “bed-bed piezoelectric sensor value” and the “bed-bed electrostatic sensor value” are extracted at regular time intervals from the waveforms of the sensor values periodically output by the bed-based sensor 11. Although it is assumed to be a sensor value, the sensor value extracted at regular intervals may be the sensor value at a certain point in time, the maximum value, the minimum value, or the average value of the sensor values obtained within a fixed time. good.

[5-2. Other Embodiment 2]
Further, in the above-described embodiment, when the data determination unit 23 of the bed leaving sensor server 20 confirms in step SP4 that the "posture state" included in the received sensor data SD is the sitting position or getting out of bed, the "attitude state" is said to be ". Vital data was measured in step SP6 based on the "posture state" and the "posture state" included in the latest (for example, within the past few minutes) sensor data SD stored in the sensor data recording unit 22. The user's posture state at that time was determined to be whether he / she was in bed, sitting at the end, or getting out of bed. Not limited to this, for example, by omitting step SP4, the "posture state" included in the received sensor data SD and the latest (for example, within the past few minutes) stored in the sensor data recording unit 22 from the beginning. Based on the "posture state" included in the sensor data SD of the above, it may be determined whether the posture state of the user when the vital data is measured is whether the user is in bed, sitting at the end, or leaving the bed. ..

Further, in the above-described embodiment, the waveform analysis unit 14 of the bed leaving sensor terminal 10 determines the posture state of the user based on the sensor value of the bed sensor 11 and the sensor value of the end sitting position sensor 12. This is included in the sensor data SD and transmitted to the bed leaving sensor server 20. Not limited to this, the sensor value of the bed sensor 11 and the sensor value of the sitting position sensor 12 are included in the sensor data SD and transmitted to the bed leaving sensor server 20, and the data determination unit 23 of the bed leaving sensor server 20 performs the sensor data SD. Based on the sensor value of the floor sensor 11 and the sensor value of the end sitting position sensor 12 included in the above, the posture state (bed, end sitting, leaving the bed) of the user may be determined. Further, not limited to this, the bed leaving sensor terminal 10 is provided with the function of the bed leaving sensor server 20, and the bed sensor 11, the end sitting position sensor 12, and the vital sensor 13 are each provided with a communication function, and the sensors output from each of them are provided. The value may be acquired by the communication unit 21 by the bed leaving sensor server 20.

[5-3. Other Embodiment 3]
Further, in the above-described embodiment, the screen data for displaying the vital data measured by the user, which is created by the screen display unit 24 of the bed leaving sensor server 20, is displayed on the display terminal 30 installed in the care staff room or the like. I sent it to and displayed it. Not limited to this, the screen data is transmitted to a mobile terminal such as a smartphone owned by each care staff so that the vital data measured by the user can be confirmed on the mobile terminal by each care staff. May be good.

[5-4. Other Embodiment 4]
Further, in the above-described embodiment, the present invention is applied to the care support system 1 as an information processing system, and the posture state on the bed of the user when the vital data is measured is the correct posture when the vital data is measured. It was determined whether or not it was in a state, and the validity of the vital data was determined based on this determination result. Not limited to this, for example, the present invention is applied to a driving support system that measures vital data of a user during driving, and the posture state on the driver's seat of the user when the vital data is measured is the vital data. It may be determined whether or not the posture state is correct at the time of measurement, and the validity of the vital data may be determined based on the determination result. Further, the present invention is not limited to this, and for example, the present invention is applied to a business support system for measuring vital data of a user during desk work, and the posture state on the seat of the user when the vital data is measured is the vital data. It may be determined whether or not the posture is correct at the time of measurement, and the validity of the vital data may be determined based on the determination result. Further, the present invention is not limited to this, and the present invention can be applied to various systems and devices for measuring vital data from a user who is supported by a support portion such as a bed, a seat, or a chair.

[5-5. Other Embodiment 5]
Furthermore, the present invention is not limited to the above-described embodiments. That is, the present invention has an scope of application to an embodiment in which a part or all of the above-mentioned embodiment and other embodiments are arbitrarily combined, and an embodiment in which a part is extracted.

The present invention can be widely used in various systems and devices for measuring vital data from a user (target person).

1 ... Nursing care support system, 10 ... Bed-away sensor terminal, 11 ... Bed sensor, 12 ... End sitting sensor, 13 ... Vital sensor, 11A, 12A, 13A ... Piezoelectric sensor, 11B, 12B, 13B ... ... Electrostatic sensor, 14 ... Wave analysis unit, 15 ... Communication unit, 20 ... Out of bed sensor server, 21 ... Communication unit, 22 ... Sensor data recording unit, 23 ... Data judgment unit, 24 ... Screen Display unit, 30 ... Display terminal, 40 ... WIFI router, NT ... Network, SD ... Sensor data, JD ... Post-judgment data, UP ... User profile, TH ... Sensor threshold.

Claims (11)

The vital data acquisition unit that acquires vital data measured from the target person,
A posture state information acquisition unit that acquires posture state information indicating the posture state of the target person when the vital data is measured from the target person, and a posture state information acquisition unit.
An information processing apparatus including a data determination unit for determining the validity of the vital data acquired by the vital data acquisition unit based on the posture state information acquired by the posture state information acquisition unit. .. The posture state information includes
The piezoelectric sensor value detected by the piezoelectric sensor and the electrostatic sensor value detected by the electrostatic sensor are included.
The data determination unit
The information processing apparatus according to claim 1, wherein the validity of the vital data is determined based on the piezoelectric sensor value and the electrostatic sensor value. The data determination unit
The piezoelectric sensor value is compared with the preset piezoelectric sensor threshold, the electrostatic sensor value is compared with the preset electrostatic sensor threshold, and the validity of the vital data is based on the result of the comparison. The information processing apparatus according to claim 2, wherein the sex is determined. The data determination unit
The information according to claim 3, wherein the piezoelectric sensor value is compared with the piezoelectric sensor threshold value, and then the electrostatic sensor value is compared with the electrostatic sensor threshold value based on the result of the comparison. Processing device. The piezoelectric sensor threshold and the electrostatic sensor threshold are
Set based on the piezoelectric sensor value detected by the piezoelectric sensor and the electrostatic sensor value detected by the electrostatic sensor when the posture state of the subject is the correct posture state when measuring the vital data. The information processing apparatus according to claim 3 or 4, wherein the threshold value is set. As the piezoelectric sensor threshold value, an upper limit value and a lower limit value of the piezoelectric sensor value are set.
As the electrostatic sensor threshold value, a lower limit value of the electrostatic sensor value is set.
The data determination unit
The vital when the piezoelectric sensor value is within the range from the upper limit value set as the piezoelectric sensor threshold value to the lower limit value and the electrostatic sensor value is equal to or larger than the lower limit value set as the electrostatic sensor threshold value. The information processing apparatus according to any one of claims 3 to 5, wherein the vital data acquired by the data acquisition unit is determined to be valid. The posture state information includes
The posture state of the subject determined by the external sensor terminal and the piezoelectric sensor value and the electrostatic sensor value used for determining the posture state are included.
The data determination unit
The information processing apparatus according to claim 2, wherein the validity of the vital data is determined based on the posture state determined by the sensor terminal, the piezoelectric sensor value, and the electrostatic sensor value. .. The vital data and the posture state information are
It is periodically acquired from the sensor terminal by the vital data acquisition unit and the posture state information acquisition unit.
Further equipped with a data recording unit for accumulating the vital data and the posture state information acquired periodically.
The data determination unit
The attitude state of the subject, the piezoelectric sensor value, and the electrostatic sensor value determined by the sensor terminal, which are included in the attitude state information received by the attitude state information acquisition unit, are stored in the data recording unit. The validity of the vital data acquired by the vital data acquisition unit is determined based on the posture state of the target person determined by the sensor terminal included in the posture state information received in the past. The information processing apparatus according to claim 7, wherein the determination is made. A claim characterized by further comprising a screen display unit that generates screen data for displaying the vital data in a form in which the validity can be confirmed based on the determination result of the validity of the vital data by the data determination unit. Item 6. The information processing apparatus according to any one of Items 1 to 8. The step that the vital data acquisition unit acquires the vital data measured from the target person,
A step in which the posture state information acquisition unit acquires posture state information indicating the posture state of the target person when the vital data is measured from the target person, and
The data determination unit is characterized by having a step of determining the validity of the vital data acquired by the vital data acquisition unit based on the posture state information acquired by the posture state information acquisition unit. Information processing method. An information processing system including a sensor terminal and an information processing device connected to the sensor terminal.
The sensor terminal is
A vital measurement unit that measures the vital data of the subject based on the output of the vital sensor, and the subject when the vital data is measured based on the output of a sensor provided separately from the vital sensor. It has a posture state information generation unit that generates posture state information indicating the posture state.
The information processing device is
A vital data acquisition unit that acquires the vital data from the sensor terminal,
A posture state information acquisition unit that acquires the posture state information from the sensor terminal,
An information processing system including a data determination unit that determines the validity of the vital data acquired by the vital data acquisition unit based on the attitude state information acquired by the attitude state information acquisition unit. ..

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