Information processing device, information processing method, computer program, and non-temporary computer-readable medium

Abstract

To provide an information processing device, etc. capable of supporting a medical worker in noticing a change in a subject's condition quickly.SOLUTION: An information processing device 20 includes an input interface 21 to which subject's biological information is input, a processor 232, and a memory 231 for storing instructions that can be executed by the processor 232. When the instructions are executed by the processor 232, the information processing device 20 classifies the biological information input to the input interface 21 at least into a first biological information group including biological information in a first period and a second biological information group including biological information in a second period different from the first period, and generates display data including the first biological information group and the second biological information group, and a first axis AX1, which is a temporal axis, and a second axis AX2 indicating a value on the biological information. The display data is generated in a form that the first biological information group and the second biological information group are displayed in the state that the first axis AX1 is overlapped and the second axis AX2 is shared.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present disclosure relates to an information processing device, an information processing method, a computer program, and a non-transitory computer-readable medium. [Background technology]

[0002] Patent Document 1 discloses an apparatus that displays biological information of a subject that changes over time and an arrow indicating an increase or decrease in the value of the biological information. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2019-150560 A Summary of the Invention [Problem to be solved by the invention]

[0004] In the medical field, it is required to quickly notice changes in the condition of a subject and take appropriate measures before the condition of the subject deteriorates. On the other hand, the condition of a subject often changes suddenly, but even in such cases, the condition of the subject often changes gradually before the sudden change. Therefore, it is preferable to be able to recognize the gradual change in the condition of the subject early.

[0005] An object of the present disclosure is to provide an information processing device, an information processing method, a computer program, and a non-transitory computer-readable medium that can assist medical professionals in quickly noticing changes in a subject's condition. [Means for solving the problem]

[0006] In order to achieve the above object, an information processing device according to one aspect includes: an input interface into which biometric information of a subject is input; At least one processor; A memory that stores at least one instruction executable by the processor, When at least one of the instructions is executed by the processor, the information processing device: classifying the biometric information input to the input interface into a first biometric information group including at least the biometric information in a first period and a second biometric information group including the biometric information in a second period different from the first period; generating display data including the first biometric information group and the second biometric information group, a first axis being a time axis, and a second axis showing a value related to the biometric information; The display data is generated in a form in which the first biometric information group and the second biometric information group are displayed with the first axes overlapping and the second axis being common.

[0007] In addition, an information processing method according to one aspect for achieving the above object includes: An information processing method executed by an information processing device, classifying the biometric information of the subject inputted to an input interface of the information processing device into a first biometric information group including at least the biometric information in a first period and a second biometric information group including the biometric information in a second period different from the first period; generating display data including the first biometric information group and the second biometric information group, a first axis being a time axis, and a second axis indicating a magnitude of a value of the biometric information; The display data is generated in a form in which the first biometric information group and the second biometric information group are displayed with the first axes overlapping and the second axis being common.

[0008] In addition, a computer program according to one aspect for achieving the above object comprises: A computer program comprising at least one instruction for execution by a processor of an information processing device, At least one of the instructions, when executed by the processor, causes the information processing device to: classifying the biometric information of the subject inputted to an input interface of the information processing device into a first biometric information group including at least the biometric information in a first period and a second biometric information group including the biometric information in a second period different from the first period; generating display data including the first biometric information group and the second biometric information group, a first axis being a time axis, and a second axis showing a magnitude of a value of the biometric information; The display data is generated in a form in which the first biometric information group and the second biometric information group are displayed with the first axes overlapping and the second axis being common.

[0009] In addition, a non-transitory computer-readable medium according to one embodiment for achieving the above object includes: The above computer program is stored.

[0010] According to the information processing device of the above configuration, display data is generated including a first biometric information group in a first period and a second biometric information group in a second period, a first axis which is a time axis, and a second axis which indicates the magnitude of the value of the biometric information of the subject. The display data is generated in a form in which the first biometric information group and the second biometric information group are displayed with the first axis overlapping and the second axis being common. Therefore, by using such display data, a user such as a medical professional can easily notice the difference between the first biometric information group in the first period and the second biometric information group in the second period. As a result, by using such display data, the user can notice a slight change in the biometric information, for example, even if the condition of the subject is gradually changing. Therefore, according to the information processing device of the above configuration, it is possible to support a medical professional in quickly noticing a change in the condition of the subject. In addition, the information processing method, computer program, and non-transitory computer-readable medium of the above configuration can also achieve the same effect. Effect of the Invention

[0011] According to the present disclosure, it is possible to provide an information processing device, an information processing method, a computer program, and a non-transitory computer-readable medium that can assist medical professionals in quickly noticing changes in a subject's condition. [Brief description of the drawings]

[0012] [Figure 1] FIG. 1 is a schematic diagram of an information processing system according to the present embodiment. [Diagram 2] FIG. 2 is a flow chart illustrating an information processing method related to the generation of display data. [Diagram 3] FIG. 3 is a diagram illustrating an image based on the display data. [Figure 4] FIG. 4 is a flow chart illustrating an information processing method related to the generation of alert information and sudden change information. [Diagram 5] FIG. 5 is a flow chart illustrating an information processing method related to the generation of display data. [Figure 6] FIG. 6 is a diagram illustrating an image based on the display data. [Figure 7] FIG. 7 is a flow chart illustrating an information processing method related to the generation of display data. [Figure 8] FIG. 8 is a diagram illustrating an image based on the display data. [Figure 9] FIG. 9 is a flow chart illustrating an information processing method related to the generation of display data. [Figure 10] FIG. 10 is a diagram illustrating an image based on the display data. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0013] An example of an embodiment of the present disclosure will be described below with reference to the drawings. In the description of this embodiment, for convenience of explanation, the "left-right direction" and the "up-down direction" may be appropriately mentioned. These directions are relative directions set for the display unit 41 of the terminal device 40 illustrated in Figs. 3, 6, 8, and 10. Here, the "left-right direction" is a direction including the "left direction" and the "right direction". The "up-down direction" is a direction including the "upward direction" and the "downward direction". In each figure, the symbol U shown in the figure indicates the upward direction. The symbol D indicates the downward direction. The symbol L indicates the leftward direction. The symbol R indicates the rightward direction.

[0014] First embodiment An information processing system 1 according to the present embodiment will be described with reference to FIG. 1. FIG. 1 is a schematic diagram illustrating the information processing system 1 according to the present embodiment. The information processing system 1 is used, for example, in a medical facility such as a hospital. As illustrated in FIG. 1, the information processing system 1 includes a sensor 10, an information processing device 20, a server 30, and a terminal device 40. The sensor 10 and the information processing device 20 are connected by wire or wirelessly. The information processing device 20, the server 30, and the terminal device 40 are communicatively connected via a network N. The network N is, for example, a computer network such as a cloud network. A cloud network is a computer network that exists within the infrastructure of cloud computing.

[0015] The sensor 10 measures biological information of a subject. The sensor 10 may be, for example, a blood pressure sensor, a respiratory sensor, an SpO 2 The sensor 10 includes a blood pressure sensor, a body temperature sensor, and a heart rate sensor. However, the sensor 10 may include other sensors different from these sensors. The blood pressure sensor measures the blood pressure (systolic blood pressure, diastolic blood pressure, and mean blood pressure) of the subject. The blood pressure sensor is, for example, a blood pressure monitor or a catheter for measuring invasive blood pressure values. The respiratory sensor measures the respiratory rate of the subject, etc. The respiratory sensor is, for example, an electrode for measuring impedance respiratory rate, etc. SpO 2 The sensor measures the subject's percutaneous arterial oxygen saturation (SpO2 ) is measured. 2 The sensor may be, for example, SpO 2 The body temperature sensor measures the body temperature of the subject. The body temperature sensor is a thermometer for measuring the body temperature of the subject, a body temperature probe connected to the thermometer, or the like. The heart rate sensor measures the heart rate of the subject. The heart rate sensor is, for example, an electrode for measuring the heart rate. In this embodiment, the sensor 10 measures the biological information by a passive method, but the biological information may be measured by an active method. In measuring the biological information by a passive method, for example, the biological information is measured by receiving a signal from the object without transmitting a signal such as light or electromagnetic waves from the sensor 10 to the object. In measuring the biological information by an active method, for example, the biological information is measured by transmitting a signal from the sensor 10 to the object and receiving a signal reflected by or transmitted through the object. The biological information measured by the sensor 10 is input to the information processing device 20 as an electric signal.

[0016] The information processing device 20 is, for example, a bedside monitor. The information processing device 20 includes an input interface 21, an operation unit 22, a control unit 23, a display unit 24, and an output interface 25. These are connected to each other via a bus 26 so as to be able to communicate with each other.

[0017] The input interface 21 is configured to input biological information of a subject. In this embodiment, the biological information measured by the sensor 10 is input to the input interface 21. The input interface 21 transmits the input biological information to the control unit 23 and the server 30.

[0018] The operation unit 22 is configured to receive an input operation by a user. The user is, for example, a medical professional such as a doctor or a nurse. The operation unit 22 is, for example, a touch panel arranged overlaid on the display unit 24, an operation button attached to a housing, or the like. For example, when a user performs an input operation on the operation unit 22 to acquire desired information from the server 30, the operation unit 22 generates a request signal for acquiring the desired information from the server 30 based on the input operation. The operation unit 22 transmits the generated request signal to the server 30.

[0019] The control unit 23 includes, as hardware configurations, a memory 231 and a processor 232. The memory 231 is configured, for example, from a ROM (Read Only Memory) in which various computer programs and the like are stored, and a RAM (Random Access Memory) having multiple work areas in which various computer programs and the like executed by the processor 232 are stored. The processor 232 is, for example, a CPU (Central Processing Unit), and is configured to develop a computer program designated from various computer programs incorporated in the ROM onto the RAM and execute various processes in cooperation with the RAM.

[0020] The computer program may be stored in, for example, various types of non-transitory computer readable media and supplied to a computer. The non-transitory computer readable media includes various types of tangible storage media. Examples of the non-transitory computer readable media include magnetic recording media (e.g., flexible disks, magnetic tapes, hard disk drives), magneto-optical recording media (e.g., magneto-optical disks), CD-ROMs (Read Only Memory), CD-Rs, CD-R / Ws, and semiconductor memories (e.g., mask ROMs, PROMs (Programmable ROMs), EPROMs (Erasable PROMs), and flash ROMs).

[0021] The control unit 23 classifies the biometric information input to the input interface 21 into a first biometric information group including at least biometric information in a first period, and a second biometric information group including biometric information in a second period different from the first period. In this embodiment, the first period is a period later in time than the second period. However, the first period may be a period earlier in time than the second period. In this embodiment, the current time is assumed to be 0:00 on April 4, 2023. For example, if the first period is a period from 0:00 on April 3, 2023 to 23:59 on the same day, and the second period is a period from 0:00 on April 2, 2023 to 23:59 on the same day, the control unit 23 classifies the biometric information in the period from 0:00 on April 2, 2023 to 23:59 on April 3, 2023 into a first biometric information group including biometric information on April 3, 2023, and a second biometric information group including biometric information on April 2, 2023. In this manner, in this embodiment, the 24 hours (one day) immediately prior to the current time is set as the first period, and the 24 hours (one day) immediately prior to the first period is set as the second period. The first period and the second period may be the same length or different lengths. The first period and the second period are not limited to being on a daily basis. For example, the first period and the second period may be on a monthly basis or on a predetermined time basis.

[0022] The control unit 23 generates display data including a first biological information group and a second biological information group, a first axis AX1 (see FIG. 3) which is a time axis, and a second axis AX2 (see FIG. 3) which indicates values ​​related to the biological information, based on the biological information input to the input interface 21. The values ​​related to the biological information are, for example, SpO 2 If the percentage is 98%, then 98% of the vital information (in this example, SpO 2 For example, if the respiratory rate is 20 times per minute, 20 times per minute is a value related to the biological information (in this example, the respiratory rate). In other words, a value related to biological information is the size, degree, etc. indicated by the biological information.

[0023] The display data includes a first graph object G1 (see FIG. 3) showing the size of each piece of biometric information included in the first biometric information group, and a second graph object G2 (see FIG. 3) showing the size of each piece of biometric information included in the second biometric information group. The first graph object G1 and the second graph object G2 are, for example, a line graph, a waveform graph, a bar graph, etc.

[0024] The control unit 23 identifies a first part P1 (see FIG. 3) surrounded by the first graph object G1 and the first axis AX1. The control unit 23 identifies a second part P2 (see FIG. 3) surrounded by the second graph object G2 and the first axis AX1. The control unit 23 identifies an overlapping part P10 (see FIG. 3) where the first part P1 and the second part P2 overlap. The control unit 23 identifies non-overlapping parts P20, P30 (see FIG. 3) where the first part P1 and the second part P2 do not overlap. The display mode of the overlapping part P10 is different from the display mode of the non-overlapping parts P20, P30. Note that the non-overlapping parts P20, P30 are parts where the first part P1 and the second part P2 do not overlap, and therefore correspond to parts showing the difference between the first biometric information group and the second biometric information group.

[0025] The non-overlapping portion P20 in the first portion P1 is colored with a first color. The non-overlapping portion P30 in the second portion P2 is colored with a second color different from the first color. It is preferable that the second color is an opposite color of the first color so that the non-overlapping portion P20 and the non-overlapping portion P30 can be easily distinguished from each other. For example, the first color is blue and the second color is red. The overlapping portion P10 is colored with a fourth color different from the first and second colors. It is preferable that the fourth color is a color related to both the first and second colors (for example, a color that combines the first and second colors) so that the user can intuitively recognize that the first portion P1 and the second portion P2 are overlapping portions. For example, when the first color is blue and the second color is red, the fourth color is purple.

[0026] The first color, the second color, and the fourth color are specified by, for example, the control unit 23 adjusting the RGB gradation. Note that RGB means the so-called three primary colors of light, where R represents red, G represents green, and B represents blue. For example, the control unit 23 may set the average value of the gradation of each color of RGB in the first color and the gradation of each color of RGB in the second color as the gradation of each color of RGB in the fourth color. Note that in this embodiment, the decimal point is rounded up, but the decimal point may be truncated or rounded up. For example, when the gradation of each color of RGB in the first color (blue) is (0,0,255) and the gradation of each color of RGB in the second color (red) is (255,0,0), the gradation of each color of RGB in the fourth color (purple) is (128,0,128). Note that the gradation of each color of RGB in the first color, the second color, and the fourth color is not limited to this example. For example, if the first color is blue, the gradation of each of the RGB colors in the first color may be (1, 0, 255). In addition, the first color, the second color, and the fourth color may be specified using, for example, an xy chromaticity diagram.

[0027] The display unit 24 is, for example, a touch screen display such as a liquid crystal display, an organic EL display, etc. The display unit 24 displays, for example, display data received from the control unit 23, etc.

[0028] The output interface 25 outputs the display data and the like received from the control unit 23 to the terminal device 40. For example, the output interface 25 outputs an output signal corresponding to the display data and the like to the terminal device 40. The output interface 25 may include a circuit that converts the output data into an output signal that can be processed by the terminal device 40, as necessary.

[0029] The server 30 is, for example, a server computer that exists on a cloud network. The server 30 includes a storage unit 31 and a control unit 32.

[0030] The storage unit 31 may be configured, for example, from a storage device such as a hard disk drive (HDD), a solid state drive (SSD), a flash memory, etc. The storage unit 31 stores biological information, medical history information, attribute information, condition information, medication information, etc. of the subject.

[0031] The control unit 32 may have the same hardware configuration as the control unit 23. For example, based on a request signal transmitted from the operation unit 22 of the information processing device 20, the control unit 32 transmits all or a part of the subject's biological information, medical history information, attribute information, condition information, medication information, and the like stored in the storage unit 31 to the information processing device 20.

[0032] The terminal device 40 is, for example, an electronic device such as a desktop PC, a notebook PC, a tablet terminal, a smartphone, etc. The terminal device 40 includes a display unit 41.

[0033] The display unit 41 is, for example, a touch screen display such as a liquid crystal display, an organic EL display, etc. The display unit 41 displays, for example, display data received from the control unit 23, etc.

[0034] Next, the information processing method according to the first embodiment will be described with reference to FIG. 2 and FIG. 3. FIG. 2 is a flow chart illustrating an information processing method for generating display data in this embodiment. FIG. 3 is a diagram illustrating an image based on the display data. In this embodiment, the control unit 23 classifies the biometric information input to the input interface 21 into a first biometric information group including biometric information in a first period and a second biometric information group including biometric information in a second period. The biometric information in this embodiment is a respiratory rate. In this embodiment, the first period is a period from 0:00 on April 3, 2023 to 23:59 on the same day, and the second period is a period from 0:00 on April 2, 2023 to 23:59 on the same day. That is, in this embodiment, the first period and the second period are the same length.

[0035] As illustrated in FIG. 2, biometric information measured by the sensor 10 is input to the input interface 21 of the information processing device 20 (STEP 01). In this embodiment, biometric information measured by the sensor 10 during the period from 0:00 on April 2, 2023 to 23:59 on April 3, 2023 is input to the input interface 21 sequentially for each processing unit time as time passes. The processing unit time is, for example, one hour, one minute, one second, etc. The input interface 21 transmits the input biometric information to the control unit 23 or the server 30. The control unit 23 acquires the biometric information input to the input interface 21 by receiving the biometric information from the input interface 21, or by the server 30 transmitting the biometric information to the information processing device 20 based on a request signal from the operation unit 22.

[0036] The control unit 23 classifies the biometric information input to the input interface 21 into a first biometric information group including biometric information in a first period and a second biometric information group including biometric information in a second period (STEP 02). In this embodiment, the control unit 23 classifies the biometric information input to the input interface 21 into a first biometric information group including biometric information on April 3, 2023 and a second biometric information group including biometric information on April 2, 2023.

[0037] The control unit 23 generates display data including the first biometric information group, the second biometric information group, and the first axis AX1 and the second axis AX2 (STEP 03). Note that the display data is generated in a form in which the first biometric information group and the second biometric information group are displayed in a state in which the first axis AX1 overlaps and the second axis AX2 is common.

[0038] The output interface 25 outputs the display data received from the control unit 23 to the terminal device 40 (STEP 04). When the display data is output to the terminal device 40, an image 100 as shown in Fig. 3 is displayed on the display unit 41 of the terminal device 40 (STEP 05).

[0039] Here, with reference to Fig. 3, an image 100 based on display data generated by the control unit 23 will be described. As illustrated in Fig. 3, the image 100 includes a first axis AX1, a second axis AX2, a first graph object G1, and a second graph object G2. The first axis AX1 is a time axis and extends horizontally (left and right in Fig. 3). The second axis AX2 indicates a value related to biological information and extends vertically (up and down in Fig. 3). The first graph object G1 and the second graph object G2 are line graphs showing respiratory rate.

[0040] In this embodiment, the first biometric information group and the second biometric information group are displayed in a state where the first displayable area R1 in which the first biometric information group can be displayed and the second displayable area R2 in which the second biometric information group can be displayed overlap on the same time axis (i.e., on the first axis AX1). In this embodiment, the first displayable area R1 and the second displayable area R2 are the same area. A first graph object G1 is displayed in the first displayable area R1, and a second graph object G2 is displayed in the second displayable area R2. In other words, the first biometric information group and the second biometric information group are displayed in a state where the first axis AX1 overlaps and the second axis AX2 is common.

[0041] The control unit 23 specifies an overlapping portion P10 where the first portion P1 surrounded by the first graph object G1 and the first axis AX1 overlaps with the second portion P2 surrounded by the second graph object G2 and the first axis AX1. The control unit 23 also specifies non-overlapping portions P20, P30 where the first portion P1 and the second portion P2 do not overlap. The control unit 23 adjusts the RGB gradation to set the colors to be used for the non-overlapping portions P20, P30 and the overlapping portion P10. In this embodiment, the non-overlapping portion P20 (part of the first portion P1) is colored blue (an example of the first color). The non-overlapping portion P30 (part of the second portion P2) is colored red (an example of the second color). The overlapping portion P10 is colored purple (an example of the fourth color), which is a combination of blue and red. In FIG. 3, the portion hatched with diagonal lines slanting downward to the right indicates the portion colored blue. The dotted hatched portions indicate portions colored red. The diagonal hatched portions indicate portions colored purple. In this manner, the color (blue) colored in the non-overlapping portion P20 is the opposite color (red) of the colored in the non-overlapping portion P30, so the non-overlapping portion P20 and the non-overlapping portion P30 are displayed in a manner that allows the user to easily distinguish between them. In addition, the display manner of the overlapping portion P10 differs from the display manner of the non-overlapping portions P20, P30 (portions that include only the first portion P1 or the second portion P2), so the user can easily distinguish between the overlapping portion P10 and the non-overlapping portions P20, P30.

[0042] As illustrated in Fig. 3, the average value of the values ​​indicated by the bioinformation included in the first bioinformation group (in this embodiment, the respiratory rate) is displayed in the center of the lower part of the image 100. For this reason, in this embodiment, the number "21" indicating the average value is displayed in the center of the lower part of the image 100. Note that the location where the average value of the values ​​indicated by the bioinformation included in the first bioinformation group is displayed in the image 100 is not limited to the center of the lower part of the image 100. The value displayed in the center of the lower part of the image 100 may be, for example, the value indicated by the bioinformation at any time during the first period.

[0043] In the medical field, it is required to quickly notice changes in the condition of a subject and take appropriate measures before the condition of the subject deteriorates. On the other hand, the condition of a subject often changes suddenly, but even in such cases, the condition of the subject often changes gradually before the sudden change. Therefore, it is preferable to be able to recognize the gradual change in the condition of the subject early.

[0044] According to the information processing device 20 having the above configuration, display data is generated that includes a first biometric information group in a first period and a second biometric information group in a second period, a first axis AX1 that is a time axis, and a second axis AX2 that indicates the magnitude of the value of the biometric information of the subject. The display data is generated in a form in which the first biometric information group and the second biometric information group are displayed in a state in which the first axis AX1 overlaps and the second axis AX2 is common. Therefore, by using the generated display data, the user can easily notice the difference between the first biometric information group in the first period and the second biometric information group in the second period. As a result, by using the display data, the user can notice a slight change in the biometric information, for example, even if the condition of the subject is gradually changing. Therefore, the information processing device 20 can support medical personnel in quickly noticing changes in the condition of the subject.

[0045] Furthermore, according to the information processing device 20 having the above configuration, the display mode of an overlapping portion P10, which is an overlapping portion between the first portion P1 surrounded by the first graph object G1 and the first axis AX1 and the second portion P2 surrounded by the second graph object G2 and the first axis AX1, is different from the display mode of non-overlapping portions P20, P30, which are portions where the first portion P1 and the second portion P2 do not overlap. The non-overlapping portions P20, P30 are portions that indicate the difference between the first biometric information group and the second biometric information group. Since the display mode of the non-overlapping portions P20, P30 is different from the display mode of the overlapping portion P10, the difference between the first biometric information group and the second biometric information group is visually easy to understand.

[0046] Moreover, according to the information processing device 20 having the above configuration, the overlapping portion P10 is colored with a color that is a combination of the first color used for the non-overlapping portion P20 in the first portion P1 and the second color used for the non-overlapping portion P30 in the second portion P2. This allows the user to easily distinguish and recognize the overlapping portion P10 from the non-overlapping portions P20 and P30.

[0047] Second Embodiment Next, an information processing system 1A according to a second embodiment will be described with reference to Figs. 1 to 4. In the second embodiment, the same parts as those in the first embodiment will be described using the same reference numerals as those in the first embodiment, and descriptions of overlapping parts will be omitted as appropriate. As illustrated by the dashed line in Fig. 1, the information processing system 1A includes an information processing device 20A including an alarm unit 27. In this respect, the information processing system 1A according to this embodiment differs from the information processing system 1 according to the first embodiment. This embodiment differs from the first embodiment in that the information processing device 20 executes not only the information processing method for generating display data illustrated in Fig. 2, but also the information processing method for generating alert information and sudden change information illustrated in Fig. 4.

[0048] In this embodiment, the current time is assumed to be 0:00 on April 4, 2023. Also, in this embodiment, the first period is from 0:00 on April 3, 2023 to 23:59 on the same day, and the second period is from 0:00 on April 2, 2023 to 23:59 on the same day. That is, in this embodiment, the first period is a period later in time than the second period. Also, the first period and the second period are the same length. Furthermore, in this embodiment, the biometric information included in the first biometric information group and the biometric information included in the second biometric information group are the same as the biometric information included in the first biometric information group and the biometric information included in the second biometric information group in the first embodiment. That is, in this embodiment, the image based on the display data generated by the control unit 23 is the image 100 illustrated in FIG. 3.

[0049] The control unit 23 calculates a comparison value between the first value based on the first biometric information group and the second value based on the second biometric information group. The comparison value may be, for example, a value calculated by calculating the difference between the values ​​indicated by the biometric information at each time in the first biometric information group and the second biometric information group for each time and summing up the differences. The difference between the values ​​indicated by the biometric information at each time in the first biometric information group and the second biometric information group is a value obtained by subtracting the value indicated by the biometric information included in the second biometric information group at a certain time from the value indicated by the biometric information included in the first biometric information group at the same time. The comparison value may be, for example, a value obtained by subtracting the sum (second sum) of the values ​​indicated by the biometric information included in the second biometric information group from the sum (first sum) of the values ​​indicated by the biometric information included in the first biometric information group. The comparison value may be, for example, a value obtained by dividing the first sum by the second sum. The comparison value may be, for example, a value obtained by subtracting the average value (second average value) of the values ​​indicated by the biometric information included in the second biometric information group from the average value (first average value) of the values ​​indicated by the biometric information included in the first biometric information group. The comparison value may be, for example, a value obtained by dividing the first average value by the second average value. The comparison value may be, for example, a value obtained by subtracting the median value (second median value) of each piece of biometric information included in the second biometric information group from the median value (first median value) of each piece of biometric information included in the first biometric information group. The comparison value may be, for example, a value obtained by dividing the first median value by the second median value. The comparison value may be, for example, the largest difference (maximum difference) among the differences between values ​​indicated by the biometric information at each time in the first biometric information group and the second biometric information group.

[0050] The control unit 23 judges whether the calculated comparison value is equal to or greater than the threshold value. When the control unit 23 judges that the calculated comparison value is equal to or greater than the threshold value, the control unit 23 generates alert information that prompts the subject to check the subject's condition. The threshold value is set, for example, based on a reference value for distinguishing between normal and abnormal values, which is determined in medical guidelines or the like, for each piece of bioinformation. For example, the control unit 23 sets a threshold value for generating alert information based on the change trend of the first bioinformation group. For example, when the bioinformation is a respiratory rate, a respiratory rate of 12 or more times / minute and less than 21 times / minute is a normal value, and a respiratory rate of less than 12 times / minute or 21 times / minute or more is an abnormal value. For example, when the respiratory rate of the subject increases over time during the first period, the change trend of the first bioinformation group is an upward trend, so the control unit 23 sets a threshold value based on the upper limit reference value (21 times / minute). The threshold value in this case is, for example, +1440 times / day. On the other hand, for example, if the subject's respiratory rate is decreasing over time during the first period, the change trend of the first biological information group is downward, so the control unit 23 sets a threshold based on the lower limit reference value (12 times / min). In this case, the threshold is, for example, -1440 times / day. In this way, the control unit 23 can set a threshold for generating alert information after determining whether the value indicated by the biological information included in the first biological information group is increasing or decreasing over time.

[0051] The control unit 23 may set a threshold value for generating alert information based on at least one of the subject's medical history information, attribute information, condition information, and medication information. The medical history information is information indicating illnesses the subject has had in the past, and treatments and surgeries performed for the illnesses. The attribute information is information indicating the subject's gender, age, and ward in which the subject is located. The condition information is information indicating the condition of the subject. The medication information is information indicating medicines administered to the subject. For example, the control unit 23 sets a threshold value based on the upper reference value for the respiratory rate (21 times / min) based on condition information indicating that the subject has pneumonia. This is because when the subject has pneumonia, the subject is often in a state of tachypnea. The control unit 23 transmits the generated alert information to the notification unit 27.

[0052] The control unit 23 calculates a change value of the immediately preceding biological information. The immediately preceding biological information is biological information measured at a time close to the current time (for example, a time from a few seconds to a few minutes before the current time). The change value is, for example, a rate of change or an amount of change.

[0053] Here, the rate of change of the immediately preceding vital sign information will be explained. If the value indicated by the vital sign information measured one minute before the current time is A, and the value indicated by the vital sign information measured two minutes before the current time is B, the control unit 23 calculates the rate of change X based on the following formula (1). Note that in this embodiment, the value after the decimal point is rounded up, but the value after the decimal point may be rounded down or rounded off. X(%)=A / B*100

[0054] If the respiratory rate indicated by the vital signs one minute before the current time (23:59 on April 3, 2023) is 26, and the respiratory rate indicated by the vital signs two minutes before the current time (23:58 on April 3, 2023) is 22, the rate of change is 119%.

[0055] Next, the amount of change in the immediately preceding biological information will be described. The control unit 23 calculates the amount of change in the immediately preceding biological information by subtracting the value indicated by the biological information measured two minutes before the current time from the value indicated by the biological information measured one minute before the current time. If the number of breaths indicated by the biological information one minute before the current time (23:59 on April 3, 2023) is 26, and the number of breaths indicated by the biological information two minutes before the current time (23:58 on April 3, 2023) is 22, the amount of change is 4.

[0056] The control unit 23 determines whether the change value of the immediately preceding biometric information is equal to or greater than a predetermined value. When the control unit 23 determines that the change value of the immediately preceding biometric information is equal to or greater than the predetermined value, the control unit 23 generates sudden change information indicating that the subject's condition has suddenly changed. When a rate of change is used as the change value, the predetermined value is, for example, 110%. However, the predetermined value is not limited to 110%. When an amount of change is used as the change value, the predetermined value is, for example, 4. However, the predetermined value is not limited to 4. The control unit 23 transmits the generated sudden change information to the notification unit 27.

[0057] The notification unit 27 notifies medical personnel and the like of the alert information and sudden change information received from the control unit 23. The notification performed by the notification unit 27 includes at least one of visual notification, auditory notification, and tactile notification. For example, when the notification performed by the notification unit 27 is an auditory notification, the notification unit 27 is a speaker or the like.

[0058] Next, an information processing method according to the second embodiment will be described with reference to FIG. 4. In this embodiment, the control unit 23 calculates the difference between the values ​​indicated by the biometric information at each time in the first biometric information group and the second biometric information group for each time, and calculates a comparison value by summing up the differences calculated for each time. In this embodiment, the control unit 23 calculates the rate of change of the immediately preceding biometric information as the change value of the immediately preceding biometric information. The information processing device 20 first executes the information processing method for generating display data exemplified in FIG. 2. In this embodiment, the information processing method for generating display data is the same as the information processing method for generating display data executed in the first embodiment.

[0059] The information processing device 20 executes an information processing method for generating alert information and sudden change information as exemplified in Fig. 4. In this embodiment, the information processing method for generating alert information and sudden change information is executed after the information processing method for generating display data. However, the information processing method for generating alert information and sudden change information may be executed simultaneously with the information processing method for generating display data, or may be executed prior to the information processing method for generating display data.

[0060] As illustrated in FIG. 4, the control unit 23 calculates a comparison value between a first value based on the first biological information group and a second value based on the second biological information group (STEP 11). For example, as illustrated in FIG. 3, the respiratory rate at 12:00 on April 2, 2023 is 19 times / min, and the respiratory rate at 12:00 on April 3, 2023 is 13 times / min. Therefore, the control unit 23 determines that the difference between April 2, 2023 and April 3, 2023 at 12:00 is -6. The control unit 23 performs this calculation for each time and calculates the comparison value by summing up the differences calculated for each time. In this embodiment, the comparison value calculated by the control unit 23 is +1500 times / day.

[0061] As illustrated in FIG. 4, the control unit 23 sets a threshold value for generating alert information based on the change trend of the first biological information group (STEP 12). As illustrated in FIG. 3, the subject's respiratory rate increases over time during the first period (especially after 20:30 on April 3, 2023), so the change trend of the first biological information group is an upward trend. Therefore, the control unit 23 sets a threshold value for generating alert information based on the upper limit reference value for the respiratory rate. In this embodiment, the threshold value is +1440 times / day.

[0062] As illustrated in FIG. 4, the control unit 23 determines whether the calculated comparison value is equal to or greater than the set threshold for generating alert information (STEP 13). If the calculated comparison value is equal to or greater than the set threshold for generating alert information (YES in STEP 13), the control unit 23 generates alert information (STEP 14). After generating the alert information, the control unit 23 executes STEP 15. On the other hand, if the calculated comparison value is less than the set threshold for generating alert information (NO in STEP 13), the control unit 23 executes STEP 16. In this embodiment, the comparison value is +1500 times / day, which is equal to or greater than the threshold for generating alert information (+1440 times / day) (YES in STEP 13), so the control unit 23 generates alert information (STEP 14).

[0063] The control unit 23 transmits the generated alert information to the notification unit 27, thereby causing the notification unit 27 to notify the alert information (STEP 15). The notification unit 27 issues a voice message such as "Please check the condition of Mr. A." However, the notification unit 27 may also notify the alert information by displaying a text message such as "Please check the condition of Mr. A" on the display unit 24 of the information processing device 20 or the display unit 41 of the terminal device 40.

[0064] The control unit 23 calculates the rate of change of the immediately preceding biological information (STEP 16). In this embodiment, since the current time is 0:00 on April 4, 2023, as illustrated in FIG. 3, the number of breaths indicated by the biological information one minute before the current time (23:59 on April 3, 2023) is 26. Also, the number of breaths indicated by the biological information two minutes before the current time (23:58 on April 3, 2023) is 22. Therefore, the rate of change of the immediately preceding biological information calculated by the control unit 23 in STEP 15 is 119%.

[0065] The control unit 23 determines whether the calculated rate of change in the immediately preceding biological information is equal to or greater than a predetermined value (STEP 17). If the calculated rate of change in the immediately preceding biological information is equal to or greater than the predetermined value (YES in STEP 17), the control unit 23 generates sudden change information (STEP 18). After generating the sudden change information, the control unit 23 executes STEP 19. On the other hand, if the calculated rate of change in the immediately preceding biological information is less than the predetermined value (NO in STEP 17), the control unit 23 ends the processing related to the information processing method for generating alert information and sudden change information. In this embodiment, since the rate of change in the immediately preceding biological information calculated by the control unit 23 (119%) is equal to or greater than the predetermined value (110%) (YES in STEP 17), the control unit 23 generates sudden change information (STEP 18).

[0066] The control unit 23 transmits the generated sudden change information to the notification unit 27, thereby causing the notification unit 27 to notify the sudden change information (STEP 19). The notification unit 27 issues a voice message, for example, "Mr. A's condition has suddenly changed." However, the notification unit 27 may also notify the sudden change information by displaying a text message, for example, "Mr. A's condition has suddenly changed," on the display unit 24 of the information processing device 20 or the display unit 41 of the terminal device 40.

[0067] The information processing device 20A having the above configuration also provides the same effects as the information processing device 20 according to the first embodiment.

[0068] Moreover, according to the information processing device 20A having the above configuration, when a comparison value between the first value based on the first biological information group and the second value based on the second biological information group is equal to or greater than a threshold value, alert information is generated to prompt the medical staff to check the condition of the subject. For example, by transmitting such alert information to a medical staff, the medical staff can be made to check the condition of the subject without fail.

[0069] Furthermore, according to the information processing device 20A having the above-described configuration, a threshold value for the comparison value is set based on the trend of change in the first bio-information group in the first period, which is a period later in time than the second period, so that appropriate alert information can be generated according to the trend of change in the subject's condition.

[0070] Moreover, according to the information processing device 20A having the above configuration, when the rate of change of the immediately preceding biological information is equal to or greater than a predetermined value, sudden change information indicating a sudden change in the condition of the subject is generated. For example, a medical worker can notice a sudden change in the condition of the subject by using such sudden change information.

[0071] (First Modification of the First Embodiment) Next, a first modified example of the first embodiment will be described with reference to FIG. 5 and FIG. 6. In this modified example, the same parts as those in the first embodiment will be described using the same reference numerals as those in the first embodiment, and descriptions of overlapping parts will be omitted as appropriate. This modified example differs from the first embodiment in that, when biometric information is missing in at least a portion of the first period, the control unit 23 generates supplementary biometric information to compensate for the missing information based on the biometric information input to the input interface 21. The supplementary biometric information is provisional biometric information to compensate for the missing information. In this modified example, it is assumed that biometric information is missing from 4:00 to 6:00 on April 3, 2023.

[0072] In this modified example, the first period is a period from 0:00 to 23:59 on April 3, 2023, and the second period is a period from 0:00 to 23:59 on April 2, 2023. That is, in this modified example, the first period is a period later in time than the second period. However, the first period may be a period earlier in time than the second period. In addition, the first period and the second period are the same length. However, the first period and the second period may be different lengths.

[0073] When there is a time when the sensor 10 cannot measure the subject's biological information, the sensor 10 inputs biological information including missing information indicating that the biological information is missing to the input interface 21. The missing information is, for example, information simply indicating that there is no biological information, error information generated in response to the sensor 10 being unable to measure the biological information, etc.

[0074] The control unit 23 judges whether or not missing information is included in the biometric information input to the input interface 21. When the control unit 23 judges that missing information is included in the biometric information input to the input interface 21, the control unit 23 generates supplementary biometric information for compensating for the missing information based on the biometric information input to the input interface 21. When the control unit 23 generates supplementary biometric information, the control unit 23 classifies the biometric information into a first biometric information group and a second biometric information group after including the generated supplementary biometric information in the biometric information.

[0075] Next, an information processing method according to this modification will be described with reference to Fig. 5 and Fig. 6. Fig. 5 is a flow chart illustrating an information processing method relating to the generation of display data in this modification.

[0076] STEP 21 is the same as STEP 01 in the first embodiment. However, in this modification, the sensor 10 cannot measure the biological information from 4:00 to 6:00 on April 3, 2023. Therefore, the sensor 10 inputs the biological information including the missing information indicating that the biological information is missing from 4:00 to 6:00 on April 3, 2023 (an example of at least a part of the first period) to the input interface 21.

[0077] The control unit 23 determines whether the biometric information input to the input interface 21 includes missing information (STEP 22). When the control unit 23 determines that the biometric information input to the input interface 21 includes missing information (YES in STEP 22), it executes STEP 24 after generating supplementary biometric information (STEP 23). On the other hand, when the control unit 23 determines that the biometric information input to the input interface 21 does not include missing information (NO in STEP 22), it executes STEP 24. In this modified example, the biometric information input to the input interface 21 includes missing information indicating that biometric information is missing from 4:00 on April 3, 2023 to 6:00 on the same day. Therefore, the control unit 23 determines that the biometric information input to the input interface 21 includes missing information (YES in STEP 22) and generates supplementary biometric information (STEP 23). Note that the supplementary biometric information generated at this time is provisional biometric information for compensating for the missing from 4:00 on April 3, 2023 to 6:00 on the same day.

[0078] STEP 24 to STEP 27 are the same as STEP 02 to STEP 05 in the first embodiment. However, in this modification, since the control unit 23 generates the supplementary biological information, the control unit 23 classifies the biological information into a first biological information group and a second biological information group after including the generated supplementary biological information in the biological information in STEP 24. In addition, in this modification, the control unit 23 generates display data such that the display mode corresponding to the supplementary biological information is different from the display mode corresponding to the biological information input to the input interface 21.

[0079] Here, with reference to FIG. 6, the display data generated by the control unit 23 and the image 100A based on the display data will be described. In this modification, since the biometric information is missing from 4:00 to 6:00 on April 3, 2023, the control unit 23 generates display data in which the start point (the part at 4:00 on the same day) and the end point (the part at 6:00 on the same day) of the missing part are connected by a straight line, for example. In FIG. 6, the straight line connecting the start point and the end point of the missing part is drawn by a dashed line, and the other lines are drawn by a solid line. However, the display mode of the straight line connecting the start point and the end point of the missing part is not limited to a dashed line as long as it is different from the display mode of the other lines. In this way, the display mode corresponding to the supplemented biometric information is different from the display mode corresponding to the biometric information input to the input interface 21.

[0080] The information processing device 20 according to this modification also provides the same effects as the information processing device 20 according to the first embodiment.

[0081] Furthermore, according to the information processing device 20 having the above configuration, even if biometric information is missing between 4:00 and 6:00 on April 3, 2023, supplementary biometric information for compensating for the missing information is generated based on the biometric information input to the input interface 21, and then display data is generated. The display data generated at this time is generated in a form in which the first biometric information group and the second biometric information group are displayed in a state in which the first axis AX1 overlaps and the second axis AX2 is common. Therefore, according to the information processing device 20, even if biometric information is missing, it is possible to assist medical personnel in quickly noticing changes in the subject's condition.

[0082] Furthermore, according to the information processing device 20 having the above-described configuration, the display mode corresponding to the supplementary biometric information is different from the display mode corresponding to the biometric information inputted to the input interface 21, so that users such as medical personnel can easily distinguish between the supplementary biometric information and the biometric information.

[0083] (Second Modification of the First Embodiment) Next, a second modified example of the first embodiment will be described with reference to Figs. 7 and 8. In this modified example, the same parts as those in the first embodiment will be described using the same reference numerals as those in the first embodiment, and descriptions of overlapping parts will be omitted as appropriate. This modified example differs from the first embodiment in that the control unit 23 classifies biometric information input to the input interface 21 into a first biometric information group, a second biometric information group, and a third biometric information group. Therefore, in this modified example, the information processing method illustrated in Fig. 7 is executed instead of the information processing method illustrated in Fig. 2.

[0084] In this modification, the sensor 10 measures the biological information of the subject from 0:00 on April 1, 2023 to 23:59 on April 3, 2023. The biological information measured by the sensor 10 is input to the information processing device 20 as an electrical signal.

[0085] The control unit 23 classifies the biometric information in the period from 0:00 on April 1, 2023 to 23:59 on April 3, 2023 into a first biometric information group including the biometric information on April 3, 2023, a second biometric information group including the biometric information on April 2, 2023, and a third biometric information group including the biometric information on April 1, 2023. In this modified example, the biometric information is the respiratory rate. In this modified example, the first period is the period from 0:00 on April 3, 2023 to 23:59 on the same day. The second period is the period from 0:00 on April 2, 2023 to 23:59 on the same day. The third period is the period from 0:00 on April 1, 2023 to 23:59 on the same day. That is, in this modified example, the first period, the second period, and the third period are the same length. However, the first period, the second period, and the third period may be different lengths.

[0086] The control unit 23 generates display data including a first biometric information group, a second biometric information group, and a third biometric information group, as well as a first axis AX1 and a second axis AX2, based on the biometric information input to the input interface 21.

[0087] The display data includes a first graph object G1 and a second graph object G2 similar to those in the first embodiment, and a third graph object G3 (see FIG. 8) indicating the size of each piece of biometric information included in the third biometric information group. The third graph object G3 is, for example, a line graph, a waveform graph, a bar graph, or the like.

[0088] The control unit 23 identifies a first part P1 (see FIG. 8) surrounded by the first graph object G1 and the first axis AX1. The control unit 23 identifies a second part P2 (see FIG. 8) surrounded by the second graph object G2 and the first axis AX1. The control unit 23 identifies a third part P3 (see FIG. 8) surrounded by the third graph object G3 and the first axis AX1. The control unit 23 identifies an overlapping part P110 (see FIG. 8) where the first part P1 and the second part P1 overlap. The control unit 23 identifies an overlapping part P120 (see FIG. 8) where the first part P1 and the third part P3 overlap. The control unit 23 identifies an overlapping part P130 where the second part P2 and the third part P3 overlap. The control unit 23 identifies an overlapping part P140 where the first part P1, the second part P2, and the third part P3 overlap. The control unit 23 identifies non-overlapping parts P200, P300, and P400 (see FIG. 8) that are parts where at least two of the first part P1, the second part P2, and the third part P3 do not overlap (i.e., parts other than the overlapping parts P110, P120, P130, and P140).

[0089] The control unit 23 colors the non-overlapping portion P200 (part of the first portion P1), the non-overlapping portion P300 (part of the second portion P2), the non-overlapping portion P400 (part of the third portion P3), the overlapping portion P110, the overlapping portion P120, the overlapping portion P130, and the overlapping portion P140. In this modification, the control unit 23 also specifies the colors to be used for the non-overlapping portions P200, P300, P400, and the overlapping portions P110, P120, P130, and P140 by adjusting the RGB gradation. However, the control unit 23 may specify the colors to be used for the non-overlapping portions P200, P300, P400, and the overlapping portions P110, P120, P130, and P140 by using an xy chromaticity diagram or the like.

[0090] The non-overlapping portion P200 in the first portion P1 is colored with a first color. In this modification, the first color is blue. The non-overlapping portion P300 in the second portion P2 is colored with a second color. In this modification, the second color is red. The non-overlapping portion P400 in the third portion P3 is colored with a third color. In this modification, the third color is green. The overlapping portion P110 is colored with a color related to both the first color and the second color. The overlapping portion P110 is colored with, for example, purple, which is a color obtained by combining the first color and the second color. The overlapping portion P120 is colored with a color related to both the first color and the third color. The overlapping portion P120 is colored with, for example, blue-green, which is a color obtained by combining the first color and the third color. The overlapping portion P130 is colored with a color related to both the second color and the third color. The overlapping portion P130 is colored with, for example, yellow, which is a color obtained by combining the second color and the third color. The overlapping portion P140 is colored with a color related to the first color, the second color, and the third color. The overlapping portion P140 is colored with, for example, gray, which is a color that is a combination of the first color, the second color, and the third color. However, the colors colored in the non-overlapping portions P200, P300, P400 and the overlapping portions P110, P120, P130, P140 are not limited to this example.

[0091] Next, an information processing method according to this modification will be described with reference to Fig. 7. Fig. 7 is a flow chart illustrating an information processing method relating to the generation of display data according to this modification.

[0092] STEP 31 is the same as STEP 01 in the first embodiment. However, in this modification, biometric information for the period from 0:00 on Apr. 1, 2023 to 23:59 on Apr. 3, 2023 is input to the input interface 21.

[0093] The control unit 23 classifies the biometric information input to the input interface 21 into a first biometric information group including biometric information in a first period, a second biometric information group including biometric information in a second period, and a third biometric information group including biometric information in a third period (STEP 32). In this modified example, the control unit 23 classifies the biometric information input to the input interface 21 into a first biometric information group including biometric information on April 3, 2023, a second biometric information group including biometric information on April 2, 2023, and a third biometric information group including biometric information on April 1, 2023.

[0094] STEP 33 to STEP 35 are the same as STEP 03 to STEP 05 in the first embodiment. However, in this modification, in STEP 33, the control unit 23 generates display data including the first biometric information group, the second biometric information group, and the third biometric information group, and the first axis AX1 and the second axis AX2. Note that the display data is generated in a form in which the first biometric information group, the second biometric information group, and the third biometric information group are displayed with the first axis AX1 overlapping and the second axis AX2 being common.

[0095] Here, the display data generated by the control unit 23 and the image 100B based on the display data will be described with reference to Fig. 8. As illustrated in Fig. 8, the image 100B includes a first axis AX1, a second axis AX2, a first graph object G1, a second graph object G2, and a third graph object G3. The first graph object G1, the second graph object G2, and the third graph object G3 are line graphs showing the respiratory rate.

[0096] In this modification, the first biometric information group, the second biometric information group, and the third graph object G3 are displayed in a state where the first displayable area R1 in which the first biometric information group can be displayed, the second displayable area R2 in which the second biometric information group can be displayed, and the third displayable area R3 in which the third biometric information group can be displayed are overlapped on the same time axis (i.e., on the first axis AX1). In this modification, the first displayable area R1, the second displayable area R2, and the third displayable area R3 are the same area. The first graph object G1 is displayed in the first displayable area R1, the second graph object G2 is displayed in the second displayable area R2, and the third graph object G3 is displayed in the third displayable area R3. In other words, the first biometric information group, the second biometric information group, and the third biometric information group are displayed in a state where the first axis AX1 overlaps and the second axis AX2 is common.

[0097] In this modification, the non-overlapping portion P200 is colored blue (an example of a first color). The non-overlapping portion P300 is colored red (an example of a second color). The non-overlapping portion P400 is colored green (an example of a third color). The overlapping portion P110 is colored purple (an example of a fourth color), which is a combination of blue and red. The overlapping portion P120 is colored cyan, which is a combination of blue and green. The overlapping portion P130 is colored yellow, which is a combination of red and green. The overlapping portion P140 is colored gray, which is a combination of blue, red, and green. In FIG. 8, the portion hatched with diagonal lines slanting downward to the right indicates the portion colored blue. The portion hatched with dots indicates the portion colored red. The portion hatched with vertical lines indicates the portion colored green. The portion hatched with diagonal lines slanting upward to the right indicates the portion colored purple. A portion hatched with vertical lines consisting of thin and thick lines indicates a portion colored in blue-green. A portion hatched with horizontal lines consisting of thin and thick lines indicates a portion colored in yellow. A portion hatched with horizontal lines indicates a portion colored in gray. Thus, in this modified example as well, the display mode of the overlapping portions P110, P120, P130, P140 is different from the display mode of the non-overlapping portions P200, P300, P400 (portions consisting only of the first portion P11, the second portion P12, or the third portion P13). Therefore, the user can easily distinguish between the overlapping portions P110, P120, P130, P140 and the non-overlapping portions P200, P300, P400.

[0098] (Third Modification of the First Embodiment) Next, a third modified example of the first embodiment will be described with reference to Fig. 9. In this modified example, the same parts as those in the first embodiment will be described using the same reference numerals as those in the first embodiment, and the description of the overlapping parts will be omitted as appropriate. This modified example is different from the first embodiment in that, when the quality of the biometric information in at least a part of the first period is below a predetermined level, the control unit 23 replaces the biometric information having the quality below the predetermined level with the missing information, and then generates supplementary biometric information to compensate for the missing information.

[0099] In this modification, the control unit 23 generates quality information indicating the quality of the biometric information based on the biometric information and a quality reference value for evaluating the quality of the biometric information. In this modification, the quality information is an SQI (Signal Quality Indicator) value. However, the quality information is not limited to the SQI value. The SQI value is a numerical value that quantifies the quality of a signal. The SQI value is obtained, for example, by comparing a value indicated by the biometric information with a quality reference value for evaluating the quality of the biometric information. The quality reference value is set, for example, based on a value that can be indicated by the biometric information. For example, regarding the quality reference value for the respiratory rate, since the respiratory rate is often 10 times / min or more and 30 times / min or less, the quality reference value for the respiratory rate is 20 times / min, which is the median value between 10 times / min and 30 times / min. For example, when the respiratory rate is 5 times / min, the control unit 23 calculates a value of 25% (5 times / 20 times*100=25%) as the SQI value. Also, for example, when the respiratory rate is 40 breaths / min, the control unit 23 calculates a value of 50% (20 breaths / 40 breaths*100=50%) as the SQI value. The method of calculating the SQI value is not limited to the above-mentioned calculation method, as long as it is a method capable of calculating a value that indicates the degree of deviation between the value indicated by the measured biological information and the quality reference value. The control unit 23 determines whether the quality of the biological information is below a predetermined level by determining whether the SQI value is below a predetermined value. For example, the predetermined value for the SQI is 50%. However, the predetermined value is not limited to this. When the SQI value is below a predetermined value, the control unit 23 determines that the quality of the biological information is below a predetermined level.

[0100] The control unit 23 calculates the SQI value at each time based on the biometric information input to the input interface 21 and the quality reference value. When the control unit 23 determines that the quality of the biometric information is equal to or lower than a predetermined level, the control unit 23 replaces the biometric information having a quality equal to or lower than the predetermined level with missing information, and generates supplementary biometric information to compensate for the missing information based on the biometric information input to the input interface 21. That is, the control unit 23 discards the biometric information having a quality equal to or lower than a predetermined level, and includes the supplementary biometric information in the generated information as a replacement for the discarded biometric information. Note that the biometric information used when generating the supplementary biometric information is the biometric information input to the input interface 21 whose quality exceeds a predetermined level. In addition, when the control unit 23 generates the supplementary biometric information, the control unit 23 classifies the biometric information into a first biometric information group and a second biometric information group after including the generated supplementary biometric information in the biometric information.

[0101] Next, an information processing method according to this modification will be described with reference to FIG. 9. FIG. 9 is a flowchart illustrating an information processing method for generating display data in this modification. In this modification, the first period is from 0:00 to 23:59 on April 3, 2023, and the second period is from 0:00 to 23:59 on April 2, 2023. In this modification, the quality of the biometric information from 4:00 to 6:00 on April 3, 2023 is below a predetermined level, while the quality of the biometric information at other times exceeds the predetermined level.

[0102] STEP 41 is similar to STEP 01 in the first embodiment.

[0103] The control unit 23 calculates the SQI value at each time based on the biometric information input to the input interface 21 and the quality reference value related to the biometric information (STEP 42). That is, in STEP 42, the control unit 23 generates quality information at each time based on the biometric information input to the input interface 21 and the quality reference value related to the biometric information.

[0104] The control unit 23 determines whether the SQI value is equal to or less than a predetermined value (STEP 43). If the SQI value is equal to or less than the predetermined value (YES in STEP 43), the control unit 23 replaces the biometric information having an SQI value equal to or less than the predetermined level with loss information, and then generates supplementary biometric information to compensate for the loss based on the biometric information input to the input interface 21 (STEP 44). After generating the supplementary biometric information, the control unit 23 executes STEP 45. On the other hand, if the SQI value exceeds the predetermined value (NO in STEP 43), the control unit 23 executes STEP 45 without generating supplementary biometric information.

[0105] In this modified example, the quality of the biometric information input to the input interface 21 from 4:00 to 6:00 on April 3, 2023 is below a predetermined level. Therefore, the control unit 23 determines that the SQI value of the biometric information from 4:00 to 6:00 on April 3, 2023 is below a predetermined value (YES in STEP 43) and generates supplementary biometric information (STEP 44). On the other hand, since the quality of the biometric information at other times exceeds the predetermined level, the control unit 23 determines that the SQI value of the biometric information at other times exceeds the predetermined value (NO in STEP 43) and does not generate supplementary biometric information.

[0106] The control unit 23 determines whether there is an SQI value for which it has not yet been determined whether it is equal to or less than the predetermined value (STEP 45). If there is an SQI value for which it has not yet been determined whether it is equal to or less than the predetermined value (YES in STEP 45), the control unit 23 executes STEP 43. On the other hand, if there is no SQI value for which it has not yet been determined whether it is equal to or less than the predetermined value (NO in STEP 45), that is, if it has been determined whether the SQI value is equal to or less than the predetermined value for all SQI values ​​at all times, the control unit 23 executes STEP 46. In this modified example, the control unit 23 executes STEP 46 when it determines whether the SQI value is equal to or less than the predetermined value for each SQI value at each time from 0:00 on April 2, 2023 to 23:59 on April 3, 2023.

[0107] STEP 46 to STEP 49 are the same as STEP 02 to STEP 05 in the first embodiment. However, in this modified example, since the control unit 23 generates supplementary biological information, the control unit 23 classifies the biological information into a first biological information group and a second biological information group after including the generated supplementary biological information in place of the biological information whose SQI value is below a predetermined level (biological information from 4:00 to 6:00 on April 3, 2023) in the biological information in STEP 46. Note that the biological information measured from 4:00 to 6:00 on April 3, 2023 is discarded. In addition, in this modified example, the control unit 23 generates display data so that the display mode corresponding to the supplementary biological information is different from the display mode corresponding to the biological information whose quality exceeds a predetermined level.

[0108] In this modification, the display unit 41 of the terminal device 40 displays an image similar to the image exemplified in FIG. 6. In this modification, the quality of the biometric information from 4:00 to 6:00 on April 3, 2023 is below a predetermined level. For this reason, the control unit 23 generates display data in which, for example, the start point (4:00 on the same day) and the end point (6:00 on the same day) of the part where the quality of the biometric information is below a predetermined level are connected by a straight line. In this modification, the straight line connecting the start point and the end point of the part where the quality of the biometric information is below a predetermined level is drawn as a dashed line, and the other lines are drawn as a solid line. However, the display mode of the straight line connecting the start point and the end point of the part where the quality of the biometric information is below a predetermined level may be different from the display mode of the other lines, and is not limited to a dashed line. In this way, the display mode corresponding to the supplementary biometric information is different from the display mode corresponding to the biometric information in the part other than 4:00 to 6:00 on April 3, 2023 (i.e., the part where the quality of the biometric information exceeds a predetermined level).

[0109] The information processing device 20 according to this modification also provides the same effects as the information processing device 20 according to the first embodiment.

[0110] Furthermore, according to the information processing device 20 having the above configuration, even if the quality of the biometric information from 4:00 to 6:00 on April 3, 2023 is below a predetermined level, supplementary biometric information is generated and then display data is generated. The display data generated at this time is generated in a form in which the first biometric information group and the second biometric information group are displayed in a state in which the first axis AX1 overlaps and the second axis AX2 is common. Therefore, according to the information processing device 20, even if the biometric information input to the input interface 21 includes biometric information of a quality below a predetermined level, it is possible to assist medical personnel in quickly noticing changes in the subject's condition.

[0111] Furthermore, according to the information processing device 20 having the above-described configuration, the display mode corresponding to the supplementary biometric information is different from the display mode corresponding to the biometric information inputted to the input interface 21, so that users such as medical personnel can easily distinguish between the supplementary biometric information and the biometric information.

[0112] The above-described embodiments are provided for the purpose of facilitating understanding of the present disclosure, and are not intended to limit the present disclosure. The present disclosure may be modified or improved without departing from the spirit and scope of the present disclosure.

[0113] In the second embodiment, the control unit 23 generates the alert information and the sudden change information, but may generate only the alert information. That is, the control unit 23 may not execute STEP 16 to STEP 19. Also, the control unit 23 may generate only the sudden change information. That is, the control unit 23 may not execute STEP 11 to STEP 15.

[0114] In the second embodiment, the control unit 23 sets the threshold value for the comparison value based on the change tendency of the first biological information group, but may set the threshold value for the comparison value based on at least one of the medical history information, attribute information, condition information, and medication information of the subject, for example. In this case, the control unit 23 sets the threshold value for the comparison value based on at least one of the medical history information, attribute information, condition information, and medication information of the subject, so that appropriate alert information according to the characteristics of the subject can be generated.

[0115] In the first modified example of the first embodiment, the control unit 23 generates display data in which the start point (4:00 on April 3, 2023) and the end point (6:00 on the same day) of the missing part are connected by a straight line, but the present disclosure is not limited to this. In addition, in the third modified example of the first embodiment, the control unit 23 generates display data in which the start point (4:00 on the same day) and the end point (6:00 on the same day) of the part in which the quality of the biometric information is below a predetermined level are connected by a straight line, but the present disclosure is not limited to this. For example, the control unit 23 may estimate the change in the value of the biometric information from 4:00 on April 3, 2023 to 6:00 on the same day based on the change in the value of the biometric information from 4:00 on April 2, 2023 to 6:00 on the same day. That is, the value of the biometric information from 4:00 to 6:00 on April 3, 2023 may be estimated to have changed in a similar manner to the change in the value of the biometric information from 4:00 to 6:00 on April 2, 2023. In this case, the display unit 41 of the terminal device 40 displays the image 100C illustrated in FIG. 10. Note that the line continuing from the start point to the end point of the missing part or the part where the quality of the biometric information is below a predetermined level is drawn in dashed lines, and the other lines are drawn in solid lines. However, the display mode of the line continuing from the start point to the end point of the missing part or the part where the quality of the biometric information is below a predetermined level may be different from the display mode of the other lines, and is not limited to dashed lines. Thus, even in this case, the display mode corresponding to the supplementary biometric information is different from the display mode corresponding to the biometric information input to the input interface 21.

[0116] In the above embodiment, the control unit 23 classifies the biometric information input to the input interface 21 into a first biometric information group and a second biometric information group, or into a first biometric information group, a second biometric information group, and a third biometric information group, but the present disclosure is not limited to this. For example, the control unit 23 may classify the biometric information input to the input interface 21 into a first biometric information group, a second biometric information group, a third biometric information group, and a fourth biometric information group. In other words, the control unit 23 may classify the biometric information input to the input interface 21 into four or more biometric information groups.

[0117] In the above embodiment, the images 100, 100A, 100B, and 100C are displayed on the display unit 41 of the terminal device 40, but may be displayed on the display unit 24 of the information processing devices 20 and 20A, for example.

[0118] In the above embodiment, the information processing system 1 includes the sensor 10, the information processing device 20, the server 30, and the terminal device 40, but may include a central monitor instead of the server 30. In this case, the central monitor has the same functions as the server 30.

[0119] In the above embodiment, the overlapping parts P10, P110, P120, P130, P140 and the non-overlapping parts P20, P30, P200, P300, P400 are colored in different colors, but the overlapping parts P10, P110, P120, P130, P140 and the non-overlapping parts P20, P30, P200, P300, P400 may not be colored. In this case, the display modes of the first graph object G1, the second graph object G2, and the third graph object G3 may be different. For example, the first graph object G1 may be a solid line graph, the second graph object G2 may be a dashed line graph, and the third graph object G3 may be a dashed line graph.

[0120] In the second embodiment, the comparison value is a value calculated by calculating the difference between the values ​​indicated by the biometric information at each time in the first biometric information group and the second biometric information group for each time and summing up the differences, but the present disclosure is not limited to this. The comparison value may be, for example, a value obtained by subtracting the second total value from the first total value, a value obtained by dividing the first total value by the second total value, a value obtained by subtracting the second average value from the first average value, a value obtained by dividing the first average value by the second average value, a value obtained by subtracting the second median value from the first median value, a value obtained by dividing the first median value by the second median value, a maximum difference, etc.

[0121] In the second embodiment, the control unit 23 calculates the rate of change of the immediately preceding biological information, but may calculate the amount of change of the immediately preceding biological information. In this case, the control unit 23 generates sudden change information when it determines that the amount of change of the immediately preceding biological information is equal to or greater than a predetermined value.

[0122] As described above, the present specification discloses the following: (1) an input interface into which a subject's biometric information is input; At least one processor; A memory that stores at least one instruction executable by the processor, When at least one of the instructions is executed by the processor, the information processing device: classifying the biometric information input to the input interface into a first biometric information group including at least the biometric information in a first period and a second biometric information group including the biometric information in a second period different from the first period; generating display data including the first biometric information group and the second biometric information group, a first axis being a time axis, and a second axis showing a value related to the biometric information; An information processing device, wherein the display data is generated in a form in which the first biometric information group and the second biometric information group are displayed with the first axis overlapping and the second axis being common. (2) An information processing device as described in (1), wherein a display mode of an overlapping portion, which is a portion where a first graph object indicating the size of each of the biometric information included in the first biometric information group and a first portion surrounded by the first axis, and a second graph object indicating the size of each of the biometric information included in the second biometric information group and a second portion surrounded by the first axis, overlap, is different from a display mode of a non-overlapping portion, which is a portion where the first portion and the second portion do not overlap. (3) the first period and the second period are of the same length; calculating a comparison value between a first value based on the first biometric information group and a second value based on the second biometric information group; The information processing device according to (1) or (2), further comprising: generating alert information that prompts a user to check the condition of the subject when the comparison value is equal to or greater than a threshold value. (4) the non-overlapping portion of the first portion is colored with a first color; the non-overlapping portion of the second portion is colored with a second color different from the first color; The information processing device according to (2), wherein the overlapping portion is colored in a color different from the first color and the second color. (5) the first period is a period later in time than the second period; The information processing device according to (3), wherein the threshold value is set based on a change trend of the first biological information group. (6) The information processing device according to (3), which sets the threshold value based on at least one of the subject's medical history information, attribute information, condition information, and medication information. (7) calculating a change in the immediately preceding biological information; The information processing device according to any one of (1) to (6), further comprising: generating sudden change information indicating a sudden change in the condition of the subject when the change value is equal to or greater than a predetermined value. (8) An information processing device described in any one of (1) to (7), which, when the first biometric information group includes missing information indicating that the biometric information is missing for at least a portion of the first period, generates supplementary biometric information to compensate for the missing information based on the biometric information input into the input interface. (9) determining quality of the biometric information based on the biometric information and a quality reference value for evaluating the quality of the biometric information; An information processing device described in any one of (1) to (8), which, when the quality of the biometric information in at least a portion of the first period is below a predetermined level, replaces the biometric information having a quality below the predetermined level with missing information indicating that the biometric information is missing, and generates supplementary biometric information to compensate for the missing information based on the biometric information inputted into the input interface. (10) The information processing device according to (8) or (9), wherein the display mode corresponding to the supplementary biometric information is different from the display mode corresponding to the biometric information input to the input interface. (11) An information processing method executed by an information processing device, comprising: classifying the biometric information of the subject inputted to an input interface of the information processing device into a first biometric information group including at least the biometric information in a first period and a second biometric information group including the biometric information in a second period different from the first period; generating display data including the first biometric information group and the second biometric information group, a first axis being a time axis, and a second axis indicating a magnitude of a value of the biometric information; An information processing method, wherein the display data is generated in a form in which the first biometric information group and the second biometric information group are displayed with the first axis overlapping and the second axis being common. (12) A computer program comprising at least one instruction for execution by a processor of an information processing device, At least one of the instructions, when executed by the processor, causes the information processing device to: classifying the biometric information of the subject inputted to an input interface of the information processing device into a first biometric information group including at least the biometric information in a first period and a second biometric information group including the biometric information in a second period different from the first period; generating display data including the first biometric information group and the second biometric information group, a first axis being a time axis, and a second axis showing a magnitude of a value of the biometric information; A computer program, wherein the display data is generated in a form in which the first biometric information group and the second biometric information group are displayed with the first axis overlapping and the second axis being common. (13) A non-transitory computer-readable medium having stored thereon the computer program described in (12). [Explanation of symbols]

[0123] 1, 1A: information processing system, 10: sensor, 20, 20A: information processing device, 21: input interface, 22: operation unit, 23, 32: control unit, 24: display unit, 25: output interface, 26: bus, 27: notification unit, 30: server, 31: memory unit, 40: terminal device, 41: display unit, 100, 100A, 100B, 100C: image, AX1: first axis, AX2: second axis, G1: first graph object, G2: second graph object, G3: third graph object, N: network, P1: first part, P2: second part, P3: third part, P10, P110, P120, P130, P140: overlapping parts, P20, P30, P200, P300, P400: non-overlapping parts, R1: first displayable area, R2: second displayable area, R3: third displayable area

Claims

1. an input interface into which biometric information of a subject is input; At least one processor; A memory that stores at least one instruction executable by the processor, When at least one of the instructions is executed by the processor, the information processing device: classifying the biometric information input to the input interface into a first biometric information group including at least the biometric information in a first period and a second biometric information group including the biometric information in a second period different from the first period; generating display data including the first biometric information group and the second biometric information group, a first axis being a time axis, and a second axis showing a value related to the biometric information; An information processing device, wherein the display data is generated in a form in which the first biometric information group and the second biometric information group are displayed with the first axis overlapping and the second axis being common.

2. 2. The information processing device of claim 1, wherein a display mode of an overlapping portion, where a first graph object indicating the size of each of the biometric information included in the first biometric information group and a first portion surrounded by the first axis overlaps with a second graph object indicating the size of each of the biometric information included in the second biometric information group and a second portion surrounded by the first axis, is different from a display mode of a non-overlapping portion, where the first portion and the second portion do not overlap.

3. the first period and the second period are of equal length; calculating a comparison value between a first value based on the first biometric information group and a second value based on the second biometric information group; The information processing device according to claim 1 , further comprising: generating alert information that prompts a user to check a condition of the subject when the comparison value is equal to or greater than a threshold value.

4. The non-overlapping portion of the first portion is colored a first color; the non-overlapping portion of the second portion is colored with a second color different from the first color; The information processing device according to claim 2 , wherein the overlapping portion is colored in a color different from the first color and the second color.

5. the first period is a period that is later in time than the second period, The information processing apparatus according to claim 3 , wherein the threshold value is set based on a change trend of the first biological information group.

6. The information processing device according to claim 3 , wherein the threshold value is set based on at least one of medical history information, attribute information, condition information, and medication information of the subject.

7. Calculating a change in the immediately preceding biological information; The information processing device according to claim 1 , further comprising: generating sudden change information indicating a sudden change in the condition of the subject when the change value is equal to or greater than a predetermined value.

8. 2. The information processing device according to claim 1, wherein, when the first biometric information group includes missing information indicating that the biometric information is missing during at least a portion of the first period, supplementary biometric information to compensate for the missing information is generated based on the biometric information input to the input interface.

9. determining quality of the biometric information based on the biometric information and a quality reference value for evaluating the quality of the biometric information; 2. The information processing device according to claim 1, wherein, when the quality of the biometric information during at least a portion of the first period is below a predetermined level, the biometric information having a quality below the predetermined level is replaced with missing information indicating that the biometric information is missing, and supplementary biometric information to compensate for the missing information is generated based on the biometric information input to the input interface.

10. The information processing apparatus according to claim 8 , wherein the display mode corresponding to the supplementary biometric information is different from the display mode corresponding to the biometric information input to the input interface.

11. An information processing method executed by an information processing device, classifying the biometric information of the subject inputted to an input interface of the information processing device into a first biometric information group including at least the biometric information in a first period and a second biometric information group including the biometric information in a second period different from the first period; generating display data including the first biometric information group and the second biometric information group, a first axis being a time axis, and a second axis indicating a magnitude of a value of the biometric information; An information processing method, wherein the display data is generated in a form in which the first biometric information group and the second biometric information group are displayed with the first axis overlapping and the second axis being common.

12. A computer program comprising at least one instruction for execution by a processor of an information processing device, At least one of the instructions, when executed by the processor, causes the information processing device to: classifying the biometric information of the subject inputted to an input interface of the information processing device into a first biometric information group including at least the biometric information in a first period and a second biometric information group including the biometric information in a second period different from the first period; generating display data including the first biometric information group and the second biometric information group, a first axis being a time axis, and a second axis showing a magnitude of a value of the biometric information; A computer program, wherein the display data is generated in a form in which the first biometric information group and the second biometric information group are displayed with the first axis overlapping and the second axis being common.

13. A non-transitory computer readable medium having stored thereon the computer program of claim 12.

Images