JP7396215B2 - Information processing device, information processing method, and information processing system - Google Patents

Description

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

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

Japanese Patent Application Publication No. 2014-113169

By the way, conventional vital signs measurement devices are designed to detect conditions in which, for example, the subject is lying on a bed in a stable posture without moving much, and the bed is in close contact with the subject's body (in other words, the detection unit is in close contact with the subject's body). If the patient is not in the correct state, accurate vital data cannot be measured. On the other hand, conventional vital signs measurement devices can measure vital data even when the detection unit is not in close contact with the subject's body, such as when the subject is sitting on the edge of the bed, so the validity of the vital data is not guaranteed. There was a problem with sexuality.

The present invention has been made in consideration of the above points, and aims to propose an information processing device, an information processing method, and an information processing system that can ensure the validity of vital data.

The information processing device of the present invention includes a vital data acquisition unit that acquires vital data measured from a subject, and posture state information indicating a posture state of the subject when the vital data is measured from the subject. a posture state information acquisition unit that acquires the information, and a data determination unit that determines the validity of the vital data acquired by the vital data acquisition unit based on the posture status information acquired by the posture status information acquisition unit. The posture state information includes a piezoelectric sensor value detected by a piezoelectric sensor and an electrostatic sensor value detected by an electrostatic sensor, and the data determination unit is configured to determine the position state information included in the posture state information. The piezoelectric sensor value is compared with a preset piezoelectric sensor threshold value, and the electrostatic sensor value included in the posture state information is compared with a preset electrostatic sensor threshold value, and based on the result of the comparison, , determine the validity of the vital data .

Further, the information processing method of the present invention includes a step in which a vital data acquisition unit acquires vital data measured from a subject, and a posture state information acquisition unit acquires vital data from the subject when the vital data is measured from the subject. a step of acquiring posture state information indicating a posture state of the body, and a data determining section determining the vital data obtained by the vital data obtaining section based on the posture state information obtained by the posture state information obtaining section. The posture state information includes a piezoelectric sensor value detected by a piezoelectric sensor and an electrostatic sensor value detected by an electrostatic sensor, and the posture state information includes a step of determining validity of the vital data. In the step of determining the electrostatic sensor value, the data determining unit compares the piezoelectric sensor value included in the posture state information with a preset piezoelectric sensor threshold value, and compares the electrostatic sensor value included in the posture state information. and a preset electrostatic sensor threshold, and based on the comparison result, the validity of the vital data is determined .

Furthermore, the information processing system of the present invention is an information processing system comprising a sensor terminal and an information processing device connected to the sensor terminal, and the sensor terminal collects vital data of the subject based on the output of the vital sensor. and posture state information that generates posture state information indicating the posture state of the subject when the vital data is measured based on the output of a sensor provided separately from the vital sensor. the information processing device includes 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 a posture state information acquisition unit that acquires the posture state information from the sensor terminal. and a data determination section that determines the validity of the vital data acquired by the vital data acquisition section based on the posture state information acquired by the information acquisition section.

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 is possible to ensure that the measured vital data is correctly measured. 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 that can ensure the validity of vital data.

FIG. 1 is a diagram showing the overall configuration of a nursing care support system. It is a figure which shows the structure of the sensor data transmitted from a bed-off sensor terminal to a bed-off sensor server. It is a figure which shows the types of data recorded in the sensor data recording part of a bed leaving sensor server. It is a figure which shows the structure of the sensor data table and post-determination data table registered in the database of a sensor data recording part. It is a flowchart which shows the procedure of the method of determining the validity of vital signs by the bed leaving sensor server. It is a flowchart which shows the procedure of the vital signs display method by a bed leaving sensor server.

DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, modes for carrying out the invention (hereinafter referred to as embodiments) will be described in detail using the drawings.

[1. Overall configuration of nursing care support system]
First, the overall configuration of a nursing care support system 1 according to the present embodiment will be described using FIG. 1. This care support system 1 is, for example, a system that supports care services provided to users (target persons) by care workers working in a care facility. This nursing 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, It is composed of a display terminal 30 connected to a bed leaving sensor server 20 via a network NT. Note that the nursing care support system 1 shown in FIG. 1 is an example in which one out-of-bed sensor terminal 10 is connected to the out-of-bed sensor server 20; A plurality of bed leaving sensor terminals 10 are connected, one for each bed leaving sensor terminal 10. Further, the bed leaving sensor server 20 is connected to the network NT via, for example, a WIFI router 40.

The user's out-of-bed sensor terminal 10 is installed, for example, in the user's room, is connected to a bed presence sensor 11, an edge sitting position sensor 12, and a vital sensor 13, and includes a waveform analysis section 14 and a communication section 15. The in-bed sensor 11, the edge sitting position sensor 12, and the vital sensor 13 are each installed in the user's bed, and are connected to the out-of-bed sensor terminal 10 by wire or wirelessly.

The bed sensor 11 is a sensor for detecting whether or not the user's posture (hereinafter referred to as posture state) is in a state where the user is lying on a bed (this is referred to as being in bed or lying down). It is equipped with a piezoelectric sensor 11A that can measure the pressure applied to the bed, and an electrostatic sensor 11B that can measure the state and degree of contact when a human body is in contact with the bed, and outputs are periodically output from each of them. The sensor value is sent to the out-of-bed sensor terminal 10. Here, the sensor value output from the piezoelectric sensor 11A is called an in-bed piezoelectric sensor value, and the sensor value output from the electrostatic sensor 11B is called an in-bed electrostatic sensor value. Note that these in-bed piezoelectric sensor values and electrostatic sensor values are output as voltage values.

The edge sitting position sensor 12 is a sensor for detecting whether the user is sitting on the edge of the bed (this is referred to as the edge sitting position), and includes a piezoelectric sensor 12A and an electrostatic sensor 12B. and sends sensor values (voltage values) periodically outputted from each to the bed leaving sensor terminal 10. Note that, for example, the bed presence sensor 11 is placed in the center of the bed, and the edge sitting position sensor 12 is placed at the edge of the bed.

The vital sensor 13 is a sensor for detecting the user's vital data (heart rate and breathing rate as an example in this embodiment), and includes a piezoelectric sensor 13A and an electrostatic sensor 13B, and periodically receives data from each of them. The output sensor value (voltage value) is sent to the bed leaving sensor terminal 10. Incidentally, the bed presence sensor 11, the edge sitting position sensor 12, and the vital sensor 13 are known technologies, and detailed explanations thereof will be omitted. In other words, as in the past, the vital sensor 13 detects the condition in which the user is sleeping on the bed in a stable posture without moving much and the bed is in close contact with the user's body (specifically, the back). Accurate vital data cannot be measured unless the vital sensor 13 is in close contact with the body of the patient.

The waveform analysis unit 14 of the bed leaving sensor terminal 10 analyzes the sensor values output periodically (for example, at intervals of several ms) from the in-bed sensor 11, the edge sitting position sensor 12, and the vital sensor 13 at regular intervals (for example, once every few milliseconds). By analyzing waveforms and making quantitative evaluations (every minute), it determines the user's posture and measures vital data.

Specifically, the waveform analysis unit 14 extracts sensor values at regular intervals from the waveforms of sensor values (in-bed piezoelectric sensor values and in-bed electrostatic sensor values) periodically output by the in-bed sensor 11. , sensor values extracted at regular intervals from the waveform of sensor values periodically output by the edge sitting position sensor 12 are used to determine that the posture of the user at the time of vital data measurement is a state in which the user is lying on the bed. Determine whether the patient is in bed (in bed), sitting on the edge of the bed (sitting on the edge), or not on the bed (this is called leaving the bed). do. In addition, the waveform analysis unit 14 uses the waveform of the sensor value periodically output by the vital sensor 13 to collect the user's vital data (heart rate and breathing rate as an example in this embodiment) at regular intervals. measure. Note that the determination of the posture state and the measurement of vital data performed by the waveform analysis unit 14 are also well-known techniques, so a detailed explanation will be omitted.

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

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

"Time" describes the date and time when this sensor data SD was created. “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. “Posture state” is the user's postural state determined by the waveform analysis unit 14. Specifically, the "posture state" is "1" if the patient is in bed, "2" if the patient is out of bed, and "3" if the patient is sitting on the edge.

The “in-bed piezoelectric sensor value” and the “in-bed electrostatic sensor value” are the in-bed piezoelectric sensor value and the in-bed electrostatic sensor value (that is, the same data (in-bed piezoelectric sensor value and in-bed electrostatic sensor value) used to determine the "posture state" in the set. "Heart rate" and "Respiration rate" are the heart rate and respiration rate per minute measured by the vital sensor 13.

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

The communication unit 21 of the get-out-of-bed sensor server 20 is an interface that communicates with the get-out-of-bed sensor terminal 10 of the user and the display terminal 30, and receives, for example, sensor data SD transmitted from the get-out-of-bed sensor terminal 10 of the user. The sensor data recording unit 22 includes 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 on the recording device. The data determination unit 23 determines the validity of vital data (heart rate and breathing rate) included in the sensor data SD recorded in the sensor data recording unit 22 (whether or not it has been correctly measured). This determination method will be described in detail later. The screen display unit 24 generates screen data to be displayed 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 section 22 will be briefly explained using FIGS. 3 and 4. The sensor data recording unit 22 records sensor data SD, post-determination data JD, user profile UP, and sensor threshold TH. Of these, the sensor data SD and the post-judgment data JD are stored and managed by a database DB built in the sensor data recording section 22.

Specifically, a sensor data table ST shown in FIG. 4(A) is created in the database DB, and the sensor data SD is stored and managed using this sensor data table ST. The sensor data table ST has a structure that matches the sensor data SD, and includes "time", "terminal ID", "posture state", "in-bed piezoelectric sensor value", "in-bed electrostatic sensor value", and "heart rate". ” and “respiration rate.”

Further, in the database DB, a post-judgment data table JT shown in FIG. 4(B) is created, and the post-judgment data table JT is used to store and manage the post-judgment data JD. The post-determination data JD is data obtained by adding a "validity flag" to the sensor data SD that indicates the validity (whether or not it has been correctly measured) of the vital data included in the sensor data SD. Therefore, the post-judgment data table JT that stores and manages the post-judgment data JD includes "time", "terminal ID", "posture state", "in-bed piezoelectric sensor value", "in-bed electrostatic sensor value", "heartbeat It consists of eight items, including "number of breaths", "breathing rate", and a "validity flag". Note that the "validity flag" is "1" if the vital data is valid (ie, 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 and lower limits of the normal heart rate and the upper and lower limits of the normal breathing rate are registered for each user. Note that this user profile UP is inputted into the out-of-bed sensor server 20 by, for example, a doctor or nurse in charge of the user, and is recorded in the sensor data recording unit 22.

The sensor threshold TH is a threshold set for the in-bed piezoelectric sensor value output from the in-bed sensor 11 of the bed leaving sensor terminal 10 (hereinafter referred to as piezoelectric sensor threshold) and the in-bed electrostatic sensor value. This is data indicating a set threshold value (hereinafter referred to as an electrostatic sensor threshold value). Specifically, the sensor threshold TH includes the upper and lower limits of the in-bed piezoelectric sensor value and the lower limit of the in-bed electrostatic sensor value as the piezoelectric sensor threshold and electrostatic sensor threshold for each bed leaving sensor terminal 10. is described. Among these, the upper limit value and lower limit value of the in-bed piezoelectric sensor value indicate the range that the in-bed piezoelectric sensor value can take when the user is sleeping in a bed in a stable posture without moving much. On the other hand, the lower limit of the in-bed electrostatic sensor value is the in-bed 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 value that can take.

In addition, in the nursing care support system 1, the output of the bed leaving sensor terminal 10 is used when the user is actually sleeping on the bed in a stable posture without moving much and the bed is in close contact with the user's body. It is designed to be adjusted (calibrated) to suit the user and usage environment. The bed leaving sensor terminal 10 calculates the upper and lower limits of the in-bed piezoelectric sensor value and the in-bed electrostatic sensor value based on the in-bed piezoelectric sensor value and in-bed electrostatic sensor value obtained during this calibration. These lower limit values are set as sensor threshold values TH and transmitted to the bed leaving sensor server 20 so as to be recorded in the sensor data recording unit 22. The bed leaving sensor terminal 10 is configured to perform such calibration, for example, not only at the time of first use but also every day or every hour. In the present embodiment, the bed-leaving sensor terminal 10 automatically sets the sensor threshold TH through calibration, but the present invention is not limited to this. For example, a care worker may set the sensor threshold TH on the bed-leaving sensor terminal 10. You may also set it manually by inputting it into .

The sensor data SD, post-judgment data JD, user profile UP, and sensor threshold TH recorded in the sensor data recording unit 22 are linked by the terminal ID of the get-out-of-bed sensor terminal 10, and are ). The various data recorded in the sensor data recording section 22 have been described above.

Returning to FIG. 1, the display terminal 30 is a display device installed, for example, in a care worker's room where care workers are waiting. Displays a screen that displays the patient's vital data, etc. The overall configuration of the nursing care support system 1 has been described above.

[2. Vital validity determination method]
Next, a method for determining the validity of vital data (heart rate and respiratory rate) included in the sensor data SD acquired from the bed exit sensor terminal 10 by the data determination unit 23 of the bed exit sensor server 20 will be explained in the figure. This will be explained in detail using the flowchart shown in 5.

First, in step SP1, the communication unit 21 of the bed-leaving sensor server 20 receives sensor data SD transmitted from the bed-leaving sensor terminal 10. In the following 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 determining the validity of the vital data included in the sensor data SD received by the communication unit 21. In the following step SP4, the data determination unit 23 first checks the "posture state" of this sensor data SD (that is, the postural state of the user whose vital data was measured). Then, the data determination unit 23 proceeds to step SP5 if the confirmed "posture state" is the edge sitting position or off the bed, and proceeds to step SP9 if the "posture state" is in bed.

In step SP5, which is proceeded to when the "posture state" of the sensor data SD is an edge sitting position or an off-bed position, the data determination unit 23 determines from the sensor data table ST that the currently received sensor data SD and the "terminal ID" are the same, and that the "time" " is included in the range from now to a predetermined time ago (for example, within the range from now to 5 minutes ago). The sensor data SD is read out. In other words, the data determination unit 23 reads sensor data SD received most recently (within the past 5 minutes) from the same bed-off sensor terminal 10 from the sensor data table ST, in addition to the sensor data SD received from the bed-off sensor terminal 10 this time. .

In the following step SP6, the data determination unit 23 again determines the "posture state" based on the "posture state" of the sensor data SD received this time and the "posture state" of the most recently received sensor data SD read out in step SP5. Check your posture. Specifically, the data determination unit 23, for example, creates a primary array in which the "attitude state" of the currently received sensor data SD and the "attitude state" of the most recently received sensor data SD are arranged in chronological order. . Then, the data determination unit 23 determines that, for example, if the "posture state" in this primary array includes a certain percentage (for example, 50% or more) of "being in bed," the "posture state" is "being in bed." In other cases, it is determined that the "posture state" is an edge sitting position or an off-bed position. Note that the method for determining the "posture state" at this time is just an example, and other methods may be used. For example, if all the "posture states" in the primary array are edge sitting or getting off the bed, it is determined that the "posture state" is edge sitting or getting off the bed; otherwise, there is no "posture state". It may be determined that the object is the floor. Alternatively, among the "posture states" in the primary array, the "posture states" may be determined after being weighted so that the newer the postural states, the heavier the postural states.

In this way, if the "posture state" included in the sensor data SD received this time is an edge sitting position or off the bed, the data determination section 23 determines whether the "posture state" of the sensor data SD received this time and the sensor data recording section 22 The posture state of the user is determined based on the "posture state" of the most recent sensor data SD (within the past 5 minutes) recorded in . By doing so, the data determination unit 23 can accurately determine the posture state of the user (in bed, sitting on the edge of the bed, leaving the bed). After determining (confirming) the "posture state" in this way, the data determination unit 23 proceeds to step SP7 if the confirmed "posture state" is in the edge sitting position or off the bed, and if the "posture state" is in bed. If so, proceed to step SP9.

In step SP7, which is proceeded to when the "posture state" is an edge sitting position or getting off the bed, the data determination unit 23 determines that although the vital data included in the sensor data SD received this time can be measured numerically, the user's posture Since the state is not in bed, which is the correct posture when measuring vital data, the vital data is determined to be invalid and invalid. Then, the data determination unit 23 generates post-determination data JD based on the currently received sensor data SD and the determination result of the validity of the vital data. Specifically, the data determination unit 23 replaces the "heart rate" and "respiration rate" included in the sensor data SD received this time with minus 1, which cannot be taken under normal conditions, and also sets the "validity flag". 2 (invalid), post-judgment data JD is generated.

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 determining unit 23 to the post-judgment data table JT of the database DB, thereby recording the post-judgment data JD. After recording, the series of processing ends.

On the other hand, in step SP9, which is proceeded when it is confirmed that the "posture state" is "in bed" in step SP4 or step SP6 described above, the data determination unit 23 determines the "in bed piezoelectricity" of the sensor data SD received this time. "sensor value" and the upper and lower thresholds of the in-bed piezoelectric sensor value described in the sensor threshold TH linked by the sensor data SD and the terminal ID are checked (compared).

In the following step SP10, the data determination unit 23 determines that the "in-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 in-bed piezoelectric sensor value described in the sensor threshold TH. Determine whether it is within the range. Specifically, for example, if the upper limit value of the in-bed piezoelectric sensor value described in the sensor threshold TH is 50 and the lower limit value is -50, the data determination unit 23 determines whether the currently received sensor data SD is If the "floor piezoelectric sensor value" is 50 or less and -50 or more, it is determined that it is within the range.

Here, if the "bed piezoelectric sensor value" of the sensor data SD received this time is not within the range from the upper limit value to the lower limit value of the bed piezoelectric sensor value described in the sensor threshold TH, this , the posture state of the user at the time of measuring the vital data (heart rate and breathing rate) included in the sensor data SD received this time is that the user is in bed (confirmed in steps SP4 and SP6), but there is a lot of movement and the posture is not stable. This means that the posture is not correct 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 determines that although the vital data included in the sensor data SD received this time can be measured numerically, the posture state of the user is not the correct posture state when measuring the vital data. Therefore, the vital data is determined to be invalid and invalid. Then, the data determination unit 23 generates post-determination data JD based on the currently received sensor data SD and the determination result of the validity of the vital data, and proceeds to step SP8. Since the process of step SP8 has been described above, it will be omitted.

On the other hand, if the "in-bed piezoelectric sensor value" of the sensor data SD received this time falls within the range from the upper limit value to the lower limit value of the in-bed piezoelectric sensor value described in the sensor threshold TH, this This means that the posture of the user at the time of measuring the vital data (heart rate and breathing rate) included in the sensor data SD received this time is that the user is in bed (confirmed in steps SP4 and SP6), and that there is no large movement and the posture is correct. means that it is in a stable state. For example, in the example shown in FIG. 2, the "in-bed piezoelectric sensor value" of the sensor data SD is 10, and the in-bed piezoelectric sensor value written in the sensor threshold TH ranges from the upper limit threshold (50) to the lower limit threshold (-50). is within the range.

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 determines the "in-bed electrostatic sensor value" of the currently received sensor data SD and the in-bed electrostatic value described in the sensor threshold TH linked by the sensor data SD and the terminal ID. Check (compare) the sensor value with the lower limit value.

In the following step SP12, the data determination unit 23 determines whether the "in-bed electrostatic sensor value" of the sensor data SD received this time is greater than or equal to the lower limit of the in-bed electrostatic sensor value described in the sensor threshold TH. Determine. Specifically, for example, if the lower limit value of the in-bed electrostatic sensor value described in the sensor threshold TH is 750, the data determination unit 23 determines the “in-bed piezoelectric sensor value” of the sensor data SD received this time. is 750 or more.

Here, if the "in-bed electrostatic sensor value" of the currently received sensor data SD is less than the lower limit value of the in-bed piezoelectric sensor value described in the sensor threshold TH, this means that the currently received sensor data SD The posture state of the user at the time of measuring the vital data (heart rate and breathing rate) included in is that the user is in bed (confirmed in steps SP4 and SP6), and that the user's movements are large and the posture is stable (step (confirmed in 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 determines that although the vital data included in the sensor data SD received this time can be measured numerically, the posture state of the user is not the correct posture state when measuring the vital data. Therefore, the vital data is determined to be invalid and invalid. Then, the data determination unit 23 generates post-determination data JD based on the currently received sensor data SD and the determination result of the validity of the vital data, and proceeds to step SP8. Since the process of step SP8 has been described above, it will be omitted.

On the other hand, if the "in-bed electrostatic sensor value" of the sensor data SD received this time is greater than or equal to the lower limit of the in-bed electrostatic sensor value described in the sensor threshold TH, this means that the sensor data SD received this time is The posture state of the user at the time of measuring the vital data (heart rate and breathing rate) included in the sensor data SD is that the user is in bed (confirmed in steps SP4 and SP6), and that the user's posture is stable without large movements (step SP4 and SP6). (confirmed in SP10), and means that the user's body (back) is in close contact with the bed. For example, in the example shown in FIG. 2, the "in-bed electrostatic sensor value" of the sensor data SD is 980, which is greater than or equal to the decrease value (980) of the in-bed electrostatic sensor value described in the sensor threshold 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 determines whether the vital data included in the sensor data SD received this time can be measured as a numerical value, and the posture state of the user is the correct posture state when measuring the vital data. Therefore, the vital data is judged to be valid. Then, the data determination unit 23 generates post-determination data JD based on the currently received sensor data SD and the determination result of the validity of the vital data, and proceeds to step SP8. Specifically, the data determination unit 23 generates the post-determination data JD with the "heart rate" and "respiration rate" included in the sensor data SD received this time unchanged and the "validity flag" set to 1 (valid). is generated, and the process moves to step SP8. Since the process of step SP8 has been described above, it will be omitted. This concludes the explanation of the vital validity determination method.

By the way, in the above-mentioned method for determining the validity of vital signs, it is first determined that the "in-bed piezoelectric sensor value" of the sensor data SD falls within the range from the upper limit value to the lower limit value of the in-bed piezoelectric sensor value set as the sensor threshold TH. (This is called threshold value determination), and then determines whether the "in-bed electrostatic sensor value" of the sensor data SD is greater than or equal to the lower limit of the in-bed electrostatic sensor value set as the sensor threshold TH. It is now possible to determine whether or not it exists (in other words, a threshold value determination). Here, the reason why the threshold value determination for the "in-bed piezoelectric sensor value" is performed before the threshold value determination for the "in-bed electrostatic sensor value" will be briefly explained.

First, consider the combination pattern of the "in-bed piezoelectric sensor value" and the "in-bed electrostatic sensor value". There are two patterns for "in-bed piezoelectric sensor values": within the upper and lower limit range and outside the upper and lower limit range, and for "in-bed electrostatic sensor values" there are two patterns: above the lower limit and below the lower limit. . For this reason, there are four combination patterns of 2×2 of the “bed piezoelectric sensor value” and “bed bed electrostatic sensor value”.

If the validity of the vital data is determined by individually determining the threshold value for each of these four patterns, the number of threshold determination steps will increase compared to the method for determining the validity of vital data shown in FIG. It gets complicated. In other words, in the method for determining the validity of vital signs described above, the logic is simplified by performing the threshold value determination for the "in-bed piezoelectric sensor value" before the threshold value determination for the "in-bed electrostatic sensor value". There is.

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

By doing this, although it is 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 at absolute rest is a state where the user's posture is unstable due to large movements. If the judgment is made a predetermined number of times in a row, the screen display unit 24 generates screen data to notify the user that there is an abnormality in the movement of the user on the bed, and displays the screen data on the display terminal 30. It becomes possible to display the information.

In other words, in the method for determining the validity of vital signs described above, the threshold value determination of the "in-bed piezoelectric sensor value" (that is, the determination of the posture state of the user using the "in-bed piezoelectric sensor value") is performed using the "in-bed electrostatic sensor value". By performing this before the threshold value judgment (that is, the judgment of the user's posture state using the "in-bed electrostatic sensor value"), in addition to simplifying the logic, it is also possible to detect abnormalities in the movement of the user on the bed. It is now possible to monitor whether or not it is present.

For example, if it is not necessary to simplify the logic or monitor the movement of the user on the bed, threshold values can be set individually for the four combination patterns of "piezoelectric sensor value in bed" and "electrostatic sensor value in bed". Alternatively, the validity of the vital data may be determined.

[3. How to display vital data]
Next, a flowchart shown in FIG. 6 will be described regarding a vitals display method for displaying 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 vitals validity determination method. I will explain using

When the screen display unit 24 of the bed leaving sensor server 20 receives a request for screen data from the display terminal 30 via the communication unit 21, in step SP20, the screen display unit 24 displays the latest post-judgment data JD from the post-judgment data table JT of the database DB. , and check the "validity flag" of the post-judgment data JD. Note that if a plurality of post-judgment data JD with different terminal IDs are recorded in the post-judgment data table JT, the latest post-judgment data JD may be read out for each terminal ID.

In the following step SP21, the screen display unit 24 checks whether the "validity flag" of the post-determination data JD is 1 (that is, whether it is valid or not). Here, if the "validity flag" is 2, this means that the vital data (heart rate and breathing rate) included in the post-judgment data JD is invalid, and the vital data included in the post-judgment data JD is invalid. This means that the "heart rate" and "respiration rate" are both -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 post-judgment data JD as invalid data (minus 1), and proceeds to the next step SP23. Note that the screen data at this time includes, for example, post-judgment data JD and text information indicating that the vital data is invalid (for example, "vital invalid"). In step SP23, the screen display section 24 transmits the created screen data to the display terminal 30 via the communication section 21, thereby displaying it on the display terminal 30. As a result, the display terminal 30 displays, for example, text information indicating that the vital data is invalid, as well as post-determination data JD (heart rate and breathing rate are minus 1).

On the other hand, if the "validity flag" of the post-judgment data JD is 1, this means that the vital data (heart rate and breathing rate) included in the post-judgment data JD is valid, and after the This means that the "heart rate" and "respiration rate" as vital data included in the data JD are both values other than minus 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 and lower limits of the heart rate described in the user profile UP linked by the post-judgment data JD and the terminal ID. Check. The screen display unit 24 also checks the “breathing rate” of the post-determination data JD and the upper and lower limit values of the respiration rate described in the user profile UP linked by the post-judgment data JD and the terminal ID. do.

In the following step SP25, the screen display unit 24 displays whether both the "heart rate" and "respiration rate" of the post-determination data JD are within the range from the upper limit to the lower limit, respectively, described in the user profile UP. Determine whether or not the

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

In this case, the screen display unit 24 obtains a positive result in step SP25, and moves to step SP26. In step SP26, the screen display unit 24 creates screen data for displaying the vital data included in the post-determination data JD as normal data, and proceeds to the next step SP23. The screen data at this time includes, for example, post-judgment data JD and text information indicating that the vital data are normal (for example, "vital normal"). In step SP23, the screen display section 24 transmits the created screen data to the display terminal 30 via the communication section 21, thereby displaying it on the display terminal 30. As a result, the post-determination data JD is displayed on the display terminal 30, for example, along with text information indicating that the vital data are normal.

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

In this case, the screen display section 24 obtains a negative result in step SP25, and moves to step SP27. In step SP27, the screen display unit 24 creates screen data for displaying the vital data included in the post-judgment data JD as abnormal data, and proceeds to the next step SP23. Note that the screen data at this time includes, for example, post-judgment data JD and text information indicating that the vital data is abnormal (for example, "Vital abnormality, confirmation required!"). In step SP23, the screen display section 24 transmits the created screen data to the display terminal 30 via the communication section 21, thereby displaying it on the display terminal 30. As a result, the post-determination data JD is displayed on the display terminal 30, for example, along with text information indicating that the vital data is abnormal.

In this embodiment, as an example, text information indicating whether the vital data is invalid, normal, or abnormal is displayed on the display terminal 30 along with the post-judgment data JD. , but not limited to this, the key point is a form that allows you to see at a glance whether vital data is invalid, normal, or abnormal (invalid vital data is displayed as minus 1, normal vital data is displayed in black, abnormal Vital data may be displayed on the display terminal 30 (such as in red). Furthermore, the present invention is not limited to this, and for example, only abnormal vital data may be displayed. This concludes the explanation of the vitals display method.

[4. Summary and effects]
As described so far, in the nursing care support system 1 of the present embodiment, the bed leaving sensor terminal 10 is provided with the waveform analysis unit 14 as a vital measurement unit and a posture state information generation unit, and the waveform analysis unit 14 13, as vital data, ``heart rate'' and ``respiration rate'' are measured, and based on the output of the bed sensor 11 and the edge sitting sensor 12, when the vital data is measured. ``Posture state'', ``Bed piezoelectric sensor value'', and ``Bed electrostatic sensor value'' are generated as posture state information indicating the posture state of the user.

Furthermore, the bed exit 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 is configured to receive “heart rate” as vital data measured from the user. and "respiration rate", "posture state" as postural state information, "in-bed piezoelectric sensor value" and "in-bed electrostatic sensor value" sensor data SD is acquired from the bed leaving sensor terminal 10, The data determination unit 23 determines the posture status information acquired by the communication unit 21 based on the “posture status”, “in-bed piezoelectric sensor value”, and “in-bed electrostatic sensor value” as posture status information acquired by the communication unit 21. The validity of vital data is now determined.

By doing this, the bed leaving sensor server 20 can distinguish the vital data measured from the user into data that has been measured correctly (valid vital data) and data that has not been measured (invalid vital data). It will be possible to ensure the validity of vital data that has been classified as correctly measured data.

As a result, in the nursing care support system 1 of the present embodiment, the vital data measured from the user can be displayed on the display terminal 30 while distinguishing whether the data has been measured correctly, and A staff member can easily confirm the validity of the vital data displayed on the display terminal 30.

As a result, for example, care staff can see vital data showing abnormal values because they are not being measured correctly, and can reduce wasteful work such as going to the user's room to check, compared to conventional methods. This will enable nursing care staff to perform their duties more efficiently. In addition, by being able to work efficiently in this way, care staff can provide appropriate care without overlooking users whose vital data shows abnormal values and need immediate confirmation. become able to.

Thus, in the nursing care support system 1 of the present embodiment, the safety of users can be ensured even during times when the number of nursing staff is small (for example, during night shifts), and the burden on the nursing staff can be reduced. be able to.

Further, in the bed-off sensor server 20 of the present embodiment, the data determination unit 23 determines the "posture state" included in the sensor data SD received from the bed-off sensor terminal 10 (that is, the "posture state" determined on the bed-off sensor terminal 10 side). ), after confirming that the user's posture state at the time the vital data was measured was in bed (lying in bed), the "posture state" included in the sensor data SD is further determined. Based on the "in-bed piezoelectric sensor value" and "in-bed electrostatic sensor value" used to determine whether the user's postural state when vital data was measured is correct when vital data is measured. It determines whether the user is in a postural state (that is, the user is sleeping on the bed in a stable posture without moving much, and the bed is in close contact with the user's body), and based on this determination, vital signs are determined. The validity of the data is now determined.

By doing this, the data determination unit 23 of the bed-off sensor server 20 can, for example, compare the case where the user's posture state is determined only based on the "posture state" included in the sensor data SD received from the bed-off sensor terminal 10. Therefore, the posture state of the user can be determined more accurately, and the validity of vital data can be determined more accurately.

Furthermore, when determining the validity of the vital data, the data determination unit 23 of the bed exit sensor server 20 of the present embodiment determines the posture state of the user using the "in-bed piezoelectric sensor value" and then determines the "in-bed piezoelectric sensor value". The user's posture is determined using the floor electrostatic sensor value. Thereby, the data determination unit 23 of the bed exit sensor server 20 can simplify the logic for determining the validity of vital data, and can monitor whether there is any abnormality in the movement of the user on the bed.

[5. Other embodiments]
[5-1. Other embodiment 1]
In the embodiment described above, the data determination unit 23 of the bed leaving sensor server 20 determines the "posture state", "in-bed piezoelectric sensor value", and "in-bed electrostatic sensor value" as the posture state information included in the sensor data SD. Based on the "value", it is determined whether the user's posture when vital data is measured is the correct posture when vital data is measured.

Here, for example, a camera as an image sensor that photographs the area around the bed of the user is connected to the bed-leaving sensor terminal 10, and the communication unit 15 of the bed-leaving sensor terminal 10 transmits the image data photographed by this camera to the sensor data SD. At the same time, it is also transmitted to the bed leaving sensor server 20. Then, the data determination unit 23 of the bed exit sensor server 20 measures the user's vital data based on, for example, the "posture state" included in the sensor data SD and the image data taken by the camera. It may be determined whether the posture state is a correct posture state when measuring vital data.

In this case, for example, image data actually captured by a camera while the user is lying on the bed in the correct posture when measuring vital data is stored in the sensor data recording unit 22 of the out-of-bed sensor server 20 as reference image data. , and is registered for each user. Then, the data determination unit 23 of the get-out-of-bed sensor server 20 compares the image data received from the get-out-of-bed sensor terminal 10 and the reference image data registered in the sensor data recording unit 22, and determines that the degree of similarity between them is a predetermined value. In the above case, it may be determined that the posture of the user when vital data is measured is the correct posture when vital data is measured.

In addition, the information is not limited to this, and among the four posture state information including "posture state", "bed piezoelectric sensor value", "bed seat electrostatic sensor value" included in the sensor data SD, and image data captured by the camera. It may be determined whether or not the user's posture state when vital data is measured is the correct posture state when vital data is measured, using some of the above. For example, the posture state of the user when vital data is measured using only the "in-bed piezoelectric sensor value" and "in-bed electrostatic sensor value" included in the sensor data SD is different from that at the time of measuring vital data. 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, vital data is measured in addition to the "posture state", "bed piezoelectric sensor value", "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 user's postural state at the time of the user's posture, the bed leaving sensor server 20 may acquire that information from a sensor or the like and use it to determine the user's postural state. In the embodiment described above, the "in-bed piezoelectric sensor value" and the "in-bed electrostatic sensor value" are extracted at fixed time intervals from the waveform of the sensor value periodically output by the in-bed sensor 11. Although it is assumed that the sensor value is a sensor value, the sensor value extracted at a certain time period can be a sensor value at a certain point in time, the maximum value, minimum value, or average value of sensor values obtained within a certain period of time. good.

[5-2. Other Embodiment 2]
Furthermore, in the embodiment described above, when the data determination unit 23 of the bed-off sensor server 20 confirms that the "posture state" included in the received sensor data SD is the edge-sitting position or the bed-off state in step SP4, In step SP6, vital data was measured based on the "posture state" and the "posture state" included in the most recent (for example, within the past few minutes) sensor data SD stored in the sensor data recording unit 22. The system determines whether the user's posture at the moment is in bed, sitting on the edge of the bed, or off the bed. For example, the present invention is not limited to this, and for example, step SP4 may be omitted and the "posture state" included in the received sensor data SD and the most recent (for example, within the past few minutes) stored in the sensor data recording unit 22 may be used from the beginning. Based on the "posture state" included in the sensor data SD, it may be determined whether the user's postural state when the vital data is measured is in bed, sitting on the edge of bed, or out of bed. .

Furthermore, in the embodiment described above, the waveform analysis unit 14 of the bed leaving sensor terminal 10 determines the postural state of the user based on the sensor value of the in-bed sensor 11 and the sensor value of the edge sitting position sensor 12, This is included in the sensor data SD and transmitted to the bed leaving sensor server 20. However, the sensor value of the in-bed sensor 11 and the sensor value of the edge sitting position sensor 12 are included in the sensor data SD and transmitted to the out-of-bed sensor server 20, and the data determination unit 23 of the out-of-bed sensor server 20 The posture state of the user (in bed, sitting on the edge, or out of bed) may be determined based on the sensor values of the bed presence sensor 11 and the sensor value of the edge sitting position sensor 12 included in the figure. Furthermore, the present invention is not limited to this, and the function of the bed-leaving sensor terminal 10 is provided in the bed-leaving sensor server 20, and the bed-taking sensor 11, edge sitting position sensor 12, and vital sensor 13 are each provided with a communication function, and the sensors output from each of them are provided with a communication function. The value may be acquired by the bed leaving sensor server 20 using the communication unit 21.

[5-3. Other Embodiment 3]
Furthermore, in the embodiment described above, the screen data for displaying the vital data measured from the user, 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 etc. I sent it to and displayed it. Not limited to this, for example, the screen data can be sent to a mobile terminal such as a smartphone owned by each care worker, so that each care worker can check the vital data measured from the user on the mobile terminal. Good too.

[5-4. Other embodiment 4]
Furthermore, in the embodiment described above, the present invention is applied to the nursing care support system 1 as an information processing system, and the posture state of the user on the bed when vital data is measured is the correct posture when vital data is measured. It is determined whether or not the condition is present, and based on this determination result, the validity of the vital data is determined. For example, the present invention is not limited to this, and the present invention may be applied to a driving support system that measures the vital data of a user while driving, and the posture of the user in the driver's seat at the time of measuring the vital data may reflect the vital data. It is also possible to determine whether or not the posture is correct during measurement, and to determine the validity of the vital data based on this determination result. Furthermore, the present invention is not limited to this, and for example, the present invention may be applied to a work support system that measures the vital data of a user working at a desk, and the posture state of the user on the seat when the vital data is measured is the same as the vital data. It is also possible to determine whether or not the posture is correct during measurement, and to determine the validity of the vital data based on this determination result. Furthermore, the present invention is not limited to this, and can be applied to various systems and devices that measure vital data from a user who is supported by a support unit such as a bed, seat, or chair.

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

The present invention can be widely used in various systems and devices that measure vital data from users (subjects).

DESCRIPTION OF SYMBOLS 1...Nursing support system, 10...Bed leaving sensor terminal, 11...Bed sensor, 12...Edge sitting position sensor, 13...Vital sensor, 11A, 12A, 13A...Piezoelectric sensor, 11B, 12B, 13B... ... Electrostatic sensor, 14 ... Waveform analysis section, 15 ... Communication department, 20 ... Bed-off sensor server, 21 ... Communication department, 22 ... Sensor data recording section, 23 ... Data judgment section, 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 value.

Claims (9)

a vital data acquisition unit that acquires vital data measured from the subject;
a posture state information acquisition unit that acquires posture state information indicating a posture state of the subject when the vital data is measured from the subject;
a data determination unit that determines the validity of the vital data acquired by the vital data acquisition unit based on the posture status information acquired by the posture status information acquisition unit ;
The posture state information includes:
A piezoelectric sensor value detected by the piezoelectric sensor and an electrostatic sensor value detected by the electrostatic sensor are included,
The data determination section includes:
The piezoelectric sensor value included in the posture state information is compared with a preset piezoelectric sensor threshold, and the electrostatic sensor value included in the posture state information is compared with a preset electrostatic sensor threshold. , determine the validity of the vital data based on the result of the comparison.
An information processing device characterized by: The data determination section includes:
Information according to claim 1 , characterized in that, after comparing the piezoelectric sensor value and the piezoelectric sensor threshold value, the electrostatic sensor value and the electrostatic sensor threshold value are compared based on the result of the comparison. Processing equipment. The piezoelectric sensor threshold and the electrostatic sensor threshold are
Setting based on a piezoelectric sensor value detected by the piezoelectric sensor and an 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 device according to claim 1 or 2, wherein the threshold value is the threshold value. An upper limit value and a lower limit value of the piezoelectric sensor value are set as the piezoelectric sensor threshold value,
A lower limit value of the electrostatic sensor value is set as the electrostatic sensor threshold value,
The data determination section includes:
When the piezoelectric sensor value is within the range from the upper limit to the lower limit set as the piezoelectric sensor threshold, and the electrostatic sensor value is greater than or equal to the lower limit set as the electrostatic sensor threshold, the vital The information processing device according to claim 1, wherein the vital data acquired by the data acquisition unit is determined to be valid. The posture state information includes:
The postural state of the subject determined by an external sensor terminal, and the piezoelectric sensor value and the electrostatic sensor value used to determine the postural state are included,
The posture state information acquisition unit includes:
communicating with the external sensor terminal and acquiring the posture state information from the sensor terminal;
The data determination section includes:
The validity of the vital data is determined based on the posture state included in the posture state information acquired by the posture state information acquisition unit , the piezoelectric sensor value, and the electrostatic sensor value. The information processing device according to claim 1 . The vital data and the posture state information are
periodically acquired from the sensor terminal by the vital data acquisition unit and the posture state information acquisition unit,
further comprising a data recording unit that stores the regularly acquired vital data and the posture state information,
The data determination section includes:
The posture state of the subject determined by the sensor terminal, the piezoelectric sensor value, and the electrostatic sensor value, which are included in the posture state information received by the posture state information acquisition unit, and 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 status of the subject determined by the sensor terminal, which is included in the posture status information received in the past. The information processing device according to claim 5 , characterized in that the information processing device makes a determination. A claim further comprising a screen display unit that generates screen data for displaying the vital data in a form that allows confirmation of validity, based on a determination result of the validity of the vital data by the data determination unit. The information processing device according to any one of Items 1 to 6 . a step in which the vital data acquisition unit acquires vital data measured from the subject;
a step in which a posture state information acquisition unit acquires posture state information indicating a posture state of the subject when the vital data was measured from the subject;
a step in which a data determination unit determines the validity of the vital data acquired by the vital data acquisition unit based on the posture status information acquired by the posture status information acquisition unit ;
The posture state information includes:
A piezoelectric sensor value detected by the piezoelectric sensor and an electrostatic sensor value detected by the electrostatic sensor are included,
In the step of determining the validity of the vital data,
The data determination unit compares the piezoelectric sensor value included in the posture state information with a preset piezoelectric sensor threshold, and compares the electrostatic sensor value included in the posture state information with a preset electrostatic sensor value. An information processing method, comprising : comparing the vital data with a sensor threshold value, and determining the validity of the vital data based on the result of the comparison . An information processing system comprising 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 a subject based on the output of a vital sensor, and a vital data measurement unit that measures the vital data of the subject based on the output of a sensor provided separately from the vital sensor. a posture state information generation unit that generates posture state information indicating a posture state;
The information processing device includes:
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 comprising: a data determination unit that determines the validity of the vital data acquired by the vital data acquisition unit based on the posture status information acquired by the posture status information acquisition unit. .

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