Information processing apparatus, information processing method, and computer program

The information processing device effectively displays the relationship between different biological data types using a graph, enhancing the utilization and understanding of biological information for better subject management.

JP2026017644APending Publication Date: 2026-02-05NIHON KOHDEN CORP
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Patent Information

Application Number
JP2024118496
Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
Filing Date
2024-07-24
Publication Date
2026-02-05

AI Technical Summary

Technical Problem

Existing methods for utilizing biological information of a subject are not effective in showcasing the relationship between different types of biological data, limiting their utilization and understanding.

Method used

An information processing device that generates image data displaying the correspondence between statistical variations of different biological information types using a graph with one type on the vertical axis and another on the horizontal axis, allowing for intuitive understanding and effective utilization of biological data.

Benefits of technology

Enables more effective utilization and understanding of biological information by visually representing the relationship between different types of biological data, facilitating accurate determination of subject conditions and appropriate treatment.

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Abstract

To provide an information processor, an information processing method and a computer program capable of more effectively utilizing biological information of a subject by using a method different from a conventional method.SOLUTION: The information processing device 20 includes an acquisition unit 231 that acquires a plurality of first values based on first biological information of one or a plurality of subjects and a plurality of second values based on second biological information of the one or the plurality of subjects, and a generation unit 232 that generates image data of a screen indicating a correspondence relationship between a statistical variation of the first values and the second values or a correspondence relationship between a statistical variation of the second values and the first values by a graph in which a vertical axis represents the first values and a horizontal axis represents the second values.SELECTED DRAWING: Figure 3
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Description

[Technical Field]

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

[0002] Patent Document 1 discloses an apparatus that displays changes over time in biological information of a subject on a monitor in the form of waveforms. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Publication No. 2019-150560 Summary of the Invention [Problem to be solved by the invention]

[0004] Meanwhile, there is a demand for a technology that can more effectively utilize biological information of a subject using a method different from the conventional method.

[0005] An object of the present disclosure is to provide an information processing device, an information processing method, and a computer program that can more effectively utilize biological information of a subject using a method different from conventional methods. [Means for solving the problem]

[0006] In order to achieve the above object, an information processing device according to one aspect includes: an acquisition unit that acquires a plurality of first values ​​based on first biological information of one or more subjects and a plurality of second values ​​based on second biological information of the one or more subjects; and a generating unit that generates image data for a screen that shows the correspondence between the statistical variation of the first value and the second value, or the correspondence between the statistical variation of the second value and the first value, using a graph with the first value on the vertical axis and the second value on the horizontal axis.

[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, obtaining a plurality of first values ​​based on first biometric information of one or more subjects and a plurality of second values ​​based on second biometric information of the one or more subjects; and generating image data for a screen showing the correspondence between the statistical variation of the first value and the second value, or the correspondence between the statistical variation of the second value and the first value, using a graph with the first value on the vertical axis and the second value on the horizontal axis.

[0008] Furthermore, a computer program according to one aspect for achieving the above object comprises: 1. 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: an acquisition unit that acquires a plurality of first values ​​based on first biological information of one or more subjects and a plurality of second values ​​based on second biological information of the one or more subjects; The generating unit functions as a generating unit that generates image data for a screen that shows the correspondence between the statistical variation of the first value and the second value, or the correspondence between the statistical variation of the second value and the first value, using a graph with the first value on the vertical axis and the second value on the horizontal axis. [Effects of the Invention]

[0009] According to the present disclosure, biological information of a subject can be utilized more effectively using a method different from conventional methods. [Brief explanation of the drawings]

[0010] [Figure 1] FIG. 1 is a block diagram showing a configuration of an information processing system according to an embodiment of the present disclosure. [Figure 2]FIG. 2 is a block diagram showing a detailed configuration of the information processing device shown in FIG. [Figure 3] FIG. 3 is a diagram illustrating an example of a graph generated by the processor illustrated in FIG. [Figure 4] FIG. 4 is a diagram showing a first modification of the display of a graph shown by image data generated by the generating unit shown in FIG. [Figure 5] FIG. 5 is a diagram showing a second modification of the display of a graph shown by image data generated by the generating unit shown in FIG. [Figure 6] FIG. 6 is a diagram for explaining another example 1 of use of the graph generated by the information processing device shown in FIG. DETAILED DESCRIPTION OF THE INVENTION

[0011] [Overall configuration of information processing system] An example of an embodiment of the present disclosure will be described below with reference to the drawings. FIG. 1 is a block diagram showing a configuration of an information processing system 1 according to an embodiment of the present disclosure. 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 plurality of sensors 10, an information processing device 20, a server 30, and a terminal device 40.

[0012] 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 a cloud computing infrastructure.

[0013] The multiple sensors 10 have different measurement targets. The multiple sensors 10 include a blood pressure sensor, a respiration sensor, an SpO2 sensor, a body temperature sensor, and a heart rate sensor. The blood pressure sensor measures the subject's blood pressure. The respiration sensor measures the subject's respiration rate (PR). The SpO2 sensor measures the subject's transcutaneous arterial oxygen saturation (SpO2). The body temperature sensor measures the subject's body temperature. The heart rate sensor measures the subject's heart rate (HR). Biometric information indicating the measurement results from each sensor 10 is input to the information processing device 20.

[0014] The terminal device 40 is an electronic device such as a desktop PC, a notebook PC, a tablet terminal, or a smartphone owned by a user such as a medical professional. The terminal device 40 includes a display unit 41 and an operation unit .

[0015] The display unit 41 is, for example, a touch screen display such as a liquid crystal display or an organic EL display. The display unit 41 displays, for example, display data received from the information processing device 20. The operation unit 42 is, for example, a touch panel placed over the display unit 41 or operation buttons attached to the housing, and is configured to receive input operations by the user.

[0016] When measuring the biological information of a subject using the sensor 10, a user such as a medical professional inputs, for example, type information indicating the type of measurement target, date and time information indicating the date and time of measurement, and subject information indicating the gender, age, weight, disease, etc. of the subject into the operation unit 42 of the terminal device 40. The type information indicates, for example, respiratory rate (PR), heart rate (HR), percutaneous arterial oxygen saturation (SpO2), end-tidal carbon dioxide partial pressure (ETCO2), perfusion index (PI), pulse rate (PR), or body temperature. The terminal device 40 transmits the type information, date and time information, and subject information input by the user to the information processing device 20.

[0017] The information processing device 20 is, for example, a bedside monitor. Upon receiving the biological information transmitted from each sensor 10, as well as the type information, date and time information, and subject information transmitted from the terminal device 40, the information processing device 20 associates these and stores them in the server 30. The server 30 is, for example, a server computer existing on a cloud network.

[0018] The information processing device 20 reads out a plurality of first biological information indicating one type of measurement result and a plurality of second biological information indicating another type of measurement result from the plurality of biological information stored in the server 30. The information processing device 20 also obtains a plurality of first values ​​based on the plurality of first information, and obtains a plurality of second values ​​based on the plurality of second information.

[0019] Then, the information processing device 20 generates a graph with the first value on the vertical axis and the second value on the horizontal axis, and transmits image data of a screen showing the generated graph to the terminal device 40. As a result, a screen showing the graph generated by the information processing device 20 is displayed on the display unit 41 of the terminal device 40.

[0020] The information processing device 20 may be equipped with a display unit. In this case, in addition to or instead of displaying the graph on the display unit 41 of the terminal device 40, the graph may be displayed on the display unit of the information processing device 20. Details of the graph generated by the information processing device 20 will be described later.

[0021] [Detailed configuration of information processing device] (Storage of biometric information) Fig. 2 is a block diagram showing a detailed configuration of the information processing device 20 shown in Fig. 1. The information processing device 20 includes an input interface 21, a control unit 22, an operation unit 23, and an output interface 24. The control unit 22 includes a memory 221 and a processor 222.

[0022] The memory 221 is configured by, for example, a read only memory (ROM) and a random access memory (RAM), and stores various computer programs executed by the processor 222, etc.

[0023] The processor 222 is, for example, a CPU (Central Processing Unit), and is configured to function as an acquisition unit 231, a generation unit 232, an identification unit 233, and a notification unit 234 by operating in accordance with various computer programs stored in the memory 221. The computer programs can be stored in various types of non-transitory computer readable media and supplied to the computer.

[0024] The operation unit 23 is configured to receive input operations by a user. The operation unit 23 is a touch panel placed over a display unit (not shown) of the information processing device 20, operation buttons attached to the housing, etc.

[0025] The input interface 21 receives biometric information from each sensor 10, as well as type information, date and time information, and subject information from the terminal device 40, and outputs this information to the control unit 22. When the acquisition unit 231 of the control unit 22 acquires the biometric information, type information, date and time information, and subject information, it associates these with each other and stores them in the server 30 via the output interface 24.

[0026] The information processing device 20 may be configured to directly accept input of type information, date and time information, and subject information by a user. In this case, the operation unit 23 of the information processing device 20 accepts input operations by the user and outputs the type information, date and time information, and subject information input by the user to the control unit 22.

[0027] Furthermore, the user does not necessarily have to input the type information and the date and time information. For example, the acquisition unit 231 may acquire the timing at which the biometric information is received from the sensor 10 as the date and time information. Furthermore, for example, when the sensor 10 and the information processing device 20 are electrically connected via a cable, the acquisition unit 231 may identify the type of the sensor 10 according to the type of connection port of the information processing device 20 to which the cable is connected, and generate the type information.

[0028] (Generating and displaying graphs) Fig. 3 is a diagram showing an example of a graph generated by the processor 222 shown in Fig. 2. With reference to Fig. 1 to Fig. 3, the acquisition unit 231 in the information processing device 20 reads out a plurality of first biological information indicating one type of measurement result and a plurality of second biological information indicating another type of measurement result from the plurality of pieces of biological information stored in the server 30, in response to, for example, an input operation from a user to the operation unit 42 in the terminal device 40 (see Fig. 1) or the operation unit 23 in the information processing device 20 (see Fig. 2).

[0029] The acquisition unit 231 then acquires a plurality of first values ​​based on the plurality of first information, and acquires a plurality of second values ​​based on the plurality of second information. Here, as an example, it is assumed that the first biological information is biological information indicating a respiratory rate, and the first value is the respiratory rate. It is also assumed that the second biological information is biological information indicating a heart rate, and the second value is the heart rate.

[0030] The generating unit 232 generates a graph having a first value (in the example shown in FIG. 3, the respiratory rate (RR)) on the vertical axis and a second value (in the example shown in FIG. 3, the heart rate (HR)) on the horizontal axis, the graph showing the statistical variation of the plurality of first values ​​acquired by the acquiring unit 231 and the correspondence between the second values ​​acquired by the acquiring unit 231. At this time, the generating unit 232 generates a graph in which the statistical variation of the respiratory rate is shown by a box plot, for example.

[0031] In a boxplot, the bottom of the rectangle indicates the first quartile (the respiratory rate value in the bottom quarter), the inner line of the rectangle indicates the second quartile (the median respiratory rate), and the top of the rectangle indicates the third quartile (the respiratory rate value in the top quarter). The tip of the upper whisker indicates the maximum respiratory rate, the tip of the lower whisker indicates the minimum respiratory rate, and the rest indicate outliers.

[0032] As an example, Figure 3 shows, using a box plot, the correspondence between the statistical variation of multiple respiratory rates (RR) obtained from multiple subjects at the same hospital and multiple heart rates (HR) obtained from these subjects.

[0033] 1 and 2, the generation unit 232 outputs image data of a screen including the generated graph to the output interface 24. The output interface 24 transmits the image data acquired from the generation unit 232 to the terminal device 40. As a result, as described above, a screen showing the graph generated by the information processing device 20 is displayed on the display unit 41 of the terminal device 40.

[0034] Conventionally, biological information indicating respiratory rate, heart rate, etc. measured from a subject has been displayed as a line graph, bar graph, waveform, or the like, for each type of measurement object, showing changes over time. In contrast, information processing device 20 displays the information as a graph with one type of measurement object on the vertical axis and another type of measurement object on the horizontal axis. This allows the user to understand the relationship between a first value and a second value, which are different types.

[0035] Furthermore, as described above, by showing the statistical variation of the first value using a box-and-whisker plot, the user can intuitively grasp a large number of first statistical variations and outliers. Specifically, in the region indicated by dashed line A1 in the graph shown in Fig. 3, i.e., the region where the respiratory rate is 80 or higher, there are particularly many outliers that are far from the upper whiskers. Therefore, it can be understood that the measurement results included in these regions are likely to be erroneous determinations due to noise or the like.

[0036] Note that the graph generated by the generation unit 232 is not limited to one generated using a plurality of first values ​​obtained respectively from a plurality of subjects and a plurality of second values ​​obtained respectively from these plurality of subjects.

[0037] For example, multiple pieces of biological information acquired from the same subject may be stored in the server 30. The acquisition unit 231 can read out multiple pieces of first biological information and multiple pieces of second biological information acquired from the same subject from the server 30 by referring to the subject information corresponding to each piece of biological information stored in the server 30. Then, the acquisition unit 231 can, for example, acquire multiple respiratory rates of the subject from the read-out multiple pieces of first biological information, and acquire multiple heart rates of the subject from the read-out multiple pieces of second biological information.

[0038] In this case, the generating unit 232 generates a graph showing the correspondence between the statistical variations in multiple respiratory rates obtained from the same subject and multiple heart rates obtained from the subject.

[0039] The generating unit 232 is not limited to a configuration that generates a graph using a box plot. For example, the generating unit 232 may generate a graph using another display method, such as a heat map that shows statistical variations in the first values.

[0040] (Displays the subject's current status) The acquisition unit 231 can further acquire current biological information of the subject to be monitored. The subject may be one of the subjects whose biological information is stored in the server 30, or may not be included in the plurality of subjects.

[0041] More specifically, the acquisition unit 231 acquires biological information of the subject measured by each of the multiple sensors 10. Here, biological information from a sensor 10 that measures one type of measurement target is referred to as "third biological information," and biological information from a sensor 10 that measures another type of measurement target is referred to as "fourth biological information."

[0042] The acquiring unit 231 then acquires a first target value, which is a measurement result of the same type as the first value, based on the third biological information. The acquiring unit 231 also acquires a second target value, which is a measurement result of the same type as the second value, based on the fourth biological information.

[0043] The generation unit 232 generates image data so that the graph includes an indication of the correspondence between the first target value (i.e., the subject's current first value) acquired by the acquisition unit 231 and the second target value (i.e., the subject's current second value).

[0044] For example, in the graph shown in Fig. 3, point X1 is displayed on the graph, which indicates the correspondence between the subject's current respiratory rate and heart rate. Point X1 indicates that the subject's current respiratory rate is 75 and heart rate is 180. In this case, a user such as a medical professional can check the graph displayed on the terminal device 40 or the like and determine, for example, that treatment needs to be given to the subject to reduce the respiratory rate.

[0045] Also, suppose that point X2, which indicates the correspondence between the subject's current respiratory rate and heart rate, is displayed on the graph instead of point X1. Point X2 indicates that the subject's current respiratory rate is 10 and heart rate is 160. In this case, by checking the graph displayed on the terminal device 40 or the like, the user can determine, for example, that the subject may be experiencing an apnea attack.

[0046] In this way, by checking where on the graph the display showing the current state of the subject being monitored is displayed, the state of the subject can be more accurately understood. Furthermore, if the graph is generated using multiple first values ​​and multiple second values ​​obtained from the same subject, it is possible to understand the change between the subject's past state and its current state. This allows more appropriate treatment to be taken for the subject.

[0047] [Graph Details] (Reading of biometric information to be displayed) (Example 1) Reading biological information of subjects with similar subject information Referring again to FIGS. 1 and 2, the acquisition unit 231 can identify multiple subjects who belong to the same group when multiple subjects are classified according to predetermined conditions, in response to an input operation from the user.

[0048] For example, when a user performs an input operation to specify gender, the acquisition unit 231 can refer to multiple pieces of subject information corresponding to multiple pieces of biometric information stored in the server 30, and identify one or more subjects of the gender specified by the user.

[0049] Furthermore, for example, when a user performs an input operation to specify a weight range, the acquisition unit 231 can refer to multiple pieces of subject information corresponding to multiple pieces of biometric information stored in the server 30, and identify one or more subjects whose weight falls within the range specified by the user.

[0050] Furthermore, for example, when a user performs an input operation to specify a type of disease, the acquisition unit 231 can refer to multiple pieces of subject information corresponding to multiple pieces of biometric information stored in the server 30, and identify one or more subjects who have the type of disease specified by the user.

[0051] Then, the acquisition unit 231 reads out the first biometric information and second biometric information of each identified subject from the server 30, and acquires a plurality of first values ​​based on the plurality of first biometric information and a plurality of second values ​​based on the plurality of second biometric information.

[0052] This allows the generation unit 232 to generate a graph using the first value and the second value for multiple subjects of the same gender, a graph using the first value and the second value for multiple subjects whose weights fall within a specified range, or a graph using the first value and the second value for multiple subjects with the same type of disease.

[0053] The acquisition unit 231 can also identify multiple subjects whose subject information is similar to that of the subject being monitored. For example, when measuring the biological information of the subject using the sensor 10, the user inputs subject information indicating the gender, age, weight, disease, etc. of the subject to the operation unit 42 (see FIG. 1) of the terminal device 40 or the operation unit 23 of the information processing device 20. When the subject information is input to the operation unit 42, the terminal device 40 transmits the input subject information to the information processing device 20.

[0054] When acquiring the subject information, the acquiring unit 231 in the information processing device 20 refers to the subject information corresponding to each of the plurality of pieces of biometric information stored in the server 30, and identifies, for example, one or more subjects who have the same type of disease as the subject. Then, the acquiring unit 231 reads the first biometric information and the second biometric information of each of the identified subjects from the server 30, and acquires a plurality of first values ​​based on the plurality of pieces of first biometric information and a plurality of second values ​​based on the plurality of pieces of second biometric information.

[0055] This allows the generation unit 232 to generate a graph using the first values ​​and second values ​​of subjects who have the same type of disease as the subject. Therefore, by checking the graph, the user can confirm the tendency of subjects who have the same type of disease as the subject, and can more accurately understand the condition of the subject. In this case, an indication indicating the correspondence between the subject's current first value and second value, as shown by points X1 and X2 in FIG. 3, may or may not be included in the graph.

[0056] In addition, when the subject information and target information indicate the date and time of surgery, etc., the acquisition unit 231 can also read out from the server 30 biometric information that meets more specific conditions, such as the first biometric information and second biometric information of the subject on the day that the subject underwent the same surgery as the target.

[0057] (Example 2) Reading biological information of the same subject within a specified period The acquisition unit 231 may be configured to read out multiple pieces of biological information of the same subject that were acquired within a predetermined period of time from among the multiple pieces of biological information stored in the server 30. For example, suppose that a user inputs subject information including identification information of a subject who is a monitoring target by operating the operation unit 42 (see FIG. 1) of the terminal device 40 or the operation unit 23 (see FIG. 2) of the information processing device 20. When the subject information is input to the terminal device 40, the terminal device 40 transmits the subject information to the information processing device 20.

[0058] When acquiring the subject information, the acquisition unit 231 of the information processing device 20 refers to the subject information of the subject associated with each piece of biometric information stored in the server 30. Then, the acquisition unit 231 identifies the subject who is the same person as the subject, and reads out the plurality of first biometric information and the plurality of second biometric information of the identified subject from the server 30. Then, the operation unit 23 acquires a plurality of first values ​​based on the plurality of first biometric information and a plurality of second values ​​based on the plurality of second biometric information.

[0059] This allows the generating unit 232 to generate a graph using, for example, the first value and the second value during the subject's hospitalization period. This allows the user to check the subject's condition during the hospitalization period. Furthermore, if the graph includes an indication showing the correspondence between the subject's current first value and second value, the user can compare the subject's past condition with the subject's current condition.

[0060] (Example 3) User's arbitrary selection Here, it is assumed that three or more types of biological information, such as biological information indicating the measurement results of the subject's respiratory rate, biological information indicating the measurement results of the heart rate, and biological information indicating percutaneous arterial oxygen saturation, are stored in the server 30. In such a case, it is assumed that the user operates the operation unit 42 of the terminal device 40 (see FIG. 1) or the operation unit 23 of the information processing device 20 (see FIG. 2) to input information specifying two of the above three or more types of measurement targets. When this input is made to the terminal device 40, the terminal device 40 transmits input information indicating the content of the user's input to the information processing device 20.

[0061] When the acquisition unit 231 of the information processing device 20 acquires input information, it reads out two types of biometric information indicated by the input information as first biometric information and second biometric information from the multiple types of biometric information stored in the server 30. Then, the acquisition unit 231 acquires multiple first values ​​based on the multiple pieces of first biometric information that have been read out, and acquires multiple second values ​​based on the multiple pieces of second biometric information that have been read out. This allows the generation unit 232 to generate a graph in which any type of user is represented on the vertical axis and the horizontal axis.

[0062] [Identifying and displaying standard ranges] 1 may store reference information indicating normal ranges for each type of measurement object. The normal ranges are values ​​determined, for example, by medical guidelines. For example, the reference information indicates that the normal range for heart rate is 60 to 100 bpm, the normal range for systolic blood pressure is 100 mmHg to 140 mmHg, and the normal range for diastolic blood pressure is 60 mmHg to 90 mmHg.

[0063] 2 identifies a normal range and a second normal range of the first value by referring to the reference information stored in the server 30 when a graph is generated by the generation unit 232. For example, the generation unit 232 generates image data such that the normal range identified by the identification unit 233 is shown on the graph. This allows the user to visually grasp the normal range on the graph.

[0064] Furthermore, the identification unit 233 may identify the standard range of the first value and the standard range of the second value based on the box-and-whisker plot generated by the generation unit 232, instead of identifying the standard range using the reference information.

[0065] For example, as shown by the thick line A2 in Fig. 3, the identification unit 233 identifies a line L1 connecting the third quartiles, which are the upper sides of each box in the box-and-whisker plot, and a line L2 connecting the first quartiles, which are the lower sides of each box. Then, the identification unit 233 can identify the range between the lines L1 and L2 as the standard range of the first value. Furthermore, for example, the identification unit 233 can identify the range in the horizontal axis direction in which the boxes in the box-and-whisker plot exist, i.e., the range E1 shown in Fig. 3, as the standard range of the second value.

[0066] Specifically, it is assumed that the acquiring unit 231 identifies the standard ranges from a box plot based on the first values ​​and the second values ​​acquired from multiple disease-free subjects. In this case, the user can understand the standard ranges of the first and second values ​​of people who are disease-free by checking the standard ranges displayed on the graph generated by the generating unit 232.

[0067] Furthermore, for example, suppose that the acquiring unit 231 identifies the standard ranges from a box plot based on the first values ​​and second values ​​acquired from multiple subjects who underwent the same type of surgery. In this case, the user can understand the standard ranges of the first values ​​and second values ​​of the subjects who underwent that type of surgery by checking the standard ranges displayed on the graph generated by the generating unit 232.

[0068] For example, suppose that the acquiring unit 231 identifies the standard ranges from a box plot based on a plurality of first values ​​and a plurality of second values ​​acquired from one subject. In this case, the user can understand the standard ranges of the first values ​​and the second values ​​specific to the subject by checking the standard ranges displayed on the graph generated by the generating unit 232.

[0069] As will be described later, the generation unit 232 can interchange the vertical axis and the horizontal axis of the graph. When the second value is the vertical axis and the first value is the horizontal axis, the identification unit 233 can identify the standard range of the second value by a method similar to that for identifying the standard range of the first value shown in Fig. 3. When the second value is the vertical axis and the first value is the horizontal axis, the identification unit 233 can identify the standard range of the first value by a method similar to that for identifying the standard range of the second value shown in Fig. 3.

[0070] Furthermore, the display of the standard range in the graph is not limited to the display like the thick line A3 shown in Figure 3, and the display mode may be changed, such as displaying the area corresponding to the standard range in a different color from other areas.

[0071] Furthermore, in addition to the standard range, the graph may include an indication (for example, points X1 and X2 shown in FIG. 3) showing the correspondence between the current first value and second value of the subject being monitored. This allows the user to easily check whether the indication showing the subject's current first value and second value falls within the standard range, and allows the user to more clearly understand the subject's current condition. The determination of whether the indication showing the subject's current first value and second value falls within the standard range may be made by the user or by the information processing device 20.

[0072] [Graph display variations] (Variation 1: Swap the vertical and horizontal axes) 4 is a diagram showing a first modified example of the display of a graph shown by image data generated by the generation unit 232. The generation unit 232 can generate a graph in which the second value is on the vertical axis and the first value is on the horizontal axis in response to a user's operation on the operation unit 42 of the terminal device 40 (see FIG. 1) or the operation unit 23 of the information processing device 20 (see FIG. 2), etc.

[0073] For example, in the graph shown in Fig. 3, the vertical axis is the respiratory rate and the horizontal axis is the heart rate, and the correspondence relationship between the statistical variation in the respiratory rate and the heart rate is shown. In contrast, in the graph shown in Fig. 4, the vertical axis is the heart rate and the horizontal axis is the respiratory rate, and the correspondence relationship between the statistical variation in the heart rate and the respiratory rate is shown.

[0074] The generation unit 232 may be configured to generate image data showing both a graph before the vertical and horizontal axes are swapped (for example, the graph shown in FIG. 3) and a graph after the vertical and horizontal axes are swapped (for example, the graph shown in FIG. 4).

[0075] (Variation 2: Acquiring the first or second value using arithmetic processing, etc.) The acquisition unit 231 is not limited to a configuration in which the measurement result indicated by the biometric information stored in the server 30 is acquired as a first value or a second value, but may acquire the first value or the second value by performing arithmetic processing or the like on the measurement result indicated by the biometric information.

[0076] 5 is a diagram showing a second modified example of a graph display shown by image data generated by the generation unit 232. For example, the acquisition unit 231 reads out biological information indicating the pulse rate and biological information indicating the heart rate from the server 30, and acquires the difference between the pulse rate and the heart rate (PR-HR) as a first value. The acquisition unit 231 also reads out biological information indicating percutaneous arterial oxygen saturation (SpO2) from the server 30, and acquires this percutaneous arterial oxygen saturation as a second value.

[0077] In this case, the generation unit 232 can generate a graph showing the correspondence between the statistical variation of the difference between the pulse rate and the heart rate (PR-HR) and the percutaneous arterial oxygen saturation (SpO2), as shown in FIG. 5.

[0078] The acquisition unit 231 is not limited to the difference between the pulse rate and the heart rate, but can also acquire, as the first value or the second value, a value based on the percutaneous arterial oxygen saturation (SpO2) and the end-tidal carbon dioxide partial pressure (ETCO2), or a value based on the percutaneous arterial oxygen saturation (SpO2) and the perfusion index (PI).

[0079] [Other use cases] The graph generated by the information processing device 20 shown in Figure 2 can be used not only to understand the correspondence between the statistical variation of the first value obtained from one or more subjects and the second value, or the correspondence between the statistical variation of the second value and the first value, but also for other purposes.

[0080] (Example 1: Changing the criteria) Fig. 6 is a diagram illustrating another use example 1 of a graph generated by the information processing device 20 shown in Fig. 2. For example, the reference information stored in the server 30 indicates that the normal range of the respiratory rate is from a first threshold value Th11 to a second threshold value Th12. In this case, for example, as an initial setting, the notification unit 234 shown in Fig. 2 notifies the subject that the subject is in an abnormal state when the respiratory rate based on the biological information acquired from the subject is outside the range from the first threshold value Th11 to the second threshold value Th12.

[0081] Notifications by the notification unit 234 include outputting an alarm sound or voice from the information processing device 20, transmitting a notification signal to cause the terminal device 40 to output an alarm sound or voice, or transmitting a display signal to notify the display unit 41 of the terminal device 40 of an abnormality in the subject.

[0082] Furthermore, the criteria for determining whether or not notification is to be made by notification unit 234 may be changed depending on the normal range identified by identification unit 233. For example, assume that generation unit 232 generates a graph using a box-and-whisker plot as shown in Fig. 6, and identification unit 233 identifies the range between line L3 connecting the top sides of the boxes in the box-and-whisker plot and line L4 connecting the bottom sides of the boxes as the normal range of the respiration rate.

[0083] In this case, the notification unit 234 can determine whether the first value (here, the respiratory rate) of the subject is abnormal by, for example, setting the maximum value of the respiratory rate indicated by the line L3 as the upper limit Th21 and the minimum value of the respiratory rate indicated by the line L4 as the lower limit Th22. That is, when the respiratory rate of the subject is outside the range from the lower limit Th22 to the upper limit Th21, the notification unit 234 notifies that the respiratory rate of the subject is abnormal.

[0084] In such a configuration, it is assumed that the graph generated by the generating unit 232 is generated based on a plurality of first values ​​and a plurality of second values ​​acquired from one subject, and a standard range specific to the subject is set by the identifying unit 233. In this case, it is possible to determine whether or not the first value of the subject is in an abnormal state based on the standard range specific to the subject.

[0085] 6, it is assumed that the upper limit Th21 indicated by the line L3 defining the standard range is greater than the first threshold value Th11 of the respiratory rate indicated by the reference information, and the lower limit Th22 indicated by the line L4 defining the standard range is smaller than the second threshold value Th12 of the respiratory rate indicated by the reference information.

[0086] In this case, if the first value of the subject regularly exceeds the first threshold value Th11, there is a high probability that a notification such as an alarm sound will be output each time the first value of the subject is acquired. In contrast, by using the above-described configuration in which notification is performed based on the standard range specific to the subject, it is possible to more appropriately notify the subject that the first value of the subject is in an abnormal state.

[0087] Furthermore, for example, a graph may be generated based on multiple first values ​​and multiple second values ​​obtained from multiple subjects after undergoing the same type of surgery, and a standard range specific to the subjects after undergoing that type of surgery may be set. In this case, for example, whether the first value of the subject after undergoing that type of surgery is abnormal may be determined based on the standard range specific to subjects who have undergone the same type of surgery. Therefore, it is possible to more appropriately notify the subject that the first value is abnormal.

[0088] (Example 2: Notification using outliers) The notification unit 234 shown in FIG. 2 may be configured to issue a notification when there are a predetermined number or more outliers that satisfy a predetermined condition among the plurality of first values ​​or the plurality of second values.

[0089] For example, suppose that the outlier of the respiratory rate, which is the first value, is equal to or greater than a predetermined number, as in the area surrounded by the dashed line A1 in the graph shown in Fig. 3. In such a case, there is a possibility that an erroneous determination has occurred due to a problem with the wearing of equipment such as a mask worn by the subject when measuring the respiratory rate. For this reason, the notification unit 234 can issue a notification urging the medical professional to check whether the method of wearing the mask, the size of the mask, etc. when measuring the respiratory rate are appropriate.

[0090] The notification at this time includes, for example, as described above, outputting sound from the information processing device 20, transmitting a notification signal for causing the terminal device 40 to output sound, or transmitting a display signal for displaying on the display unit 41 of the terminal device 40 a message urging the user to check the equipment used when measuring the respiratory rate. Such a configuration allows the subject's biological information to be used more effectively.

[0091] As described above, the present specification discloses the following: (1) an acquisition unit that acquires a plurality of first values ​​based on first biological information of one or more subjects and a plurality of second values ​​based on second biological information of the one or more subjects; an information processing device comprising: a generation unit that generates image data for a screen showing a correspondence relationship between the statistical variation of the first value and the second value, or a correspondence relationship between the statistical variation of the second value and the first value, using a graph with the first value on the vertical axis and the second value on the horizontal axis.

[0092] With this configuration, the relationship between a first value based on first biometric information of one or more subjects and a second value based on second biometric information of these one or more subjects is displayed in a manner different from conventional methods, thereby enabling more effective use of the subjects' biometric information.

[0093] (2) The information processing device according to (1), wherein in the graph, the statistical variation of the first value or the statistical variation of the second value is shown by a box plot.

[0094] With this configuration, the statistical variation of the first value or the statistical variation of the second value can be intuitively grasped.

[0095] (3) The information processing device according to (2), further comprising an identification unit that identifies a standard range of the first value and a standard range of the second value based on the box-and-whisker plot.

[0096] With this configuration, it is possible to easily identify a standard range specific to one or more subjects, for example, by defining the range defined by the first and third quartiles of the box plot as the standard range.

[0097] (4) The information processing device according to (3), wherein the generating unit generates the image data of a screen in which the standard range is indicated in the graph.

[0098] This configuration allows the standard range to be visually grasped.

[0099] (5) The acquisition unit further acquires a first target value based on current third biological information of the subject who is the monitoring target, and a second target value based on current fourth biological information of the subject; the third biometric information is of the same type as the first biometric information, the first target value is of the same type as the first value, the fourth biometric information is of the same type as the second biometric information, the second target value is of the same type as the second value, The information processing device according to any one of (1) to (4), wherein the generation unit generates the image data of a screen in which the graph includes a display showing the correspondence between the first target value and the second target value.

[0100] With this configuration, the subject's condition can be more accurately understood by checking where on the graph the display showing the correspondence between the first target value and the second target value is displayed.

[0101] (6) The acquisition unit acquires the first value and the second value for each of a plurality of subjects; The information processing device according to any one of (1) to (5), wherein the generation unit identifies, among the plurality of subjects, a plurality of subjects that belong to the same group when the plurality of subjects are classified according to predetermined conditions, and generates the image data based on the first value and the second value of each identified subject.

[0102] With this configuration, for example, it is possible to identify multiple subjects whose attributes, such as gender, weight, or symptoms, are similar to those of the subject, and to display a graph based on the first and second values ​​of the identified multiple subjects.

[0103] (7) An information processing device described in any one of (1) to (5), wherein the generation unit generates the image data based on multiple first values ​​and multiple second values ​​of the same subject obtained within a predetermined period.

[0104] With this configuration, it is possible to grasp the tendency of the subject's condition over a predetermined period of time.

[0105] (8) An information processing device described in any one of (1) to (7), wherein the acquisition unit acquires multiple types of biometric information of the subject, identifies the first biometric information and the second biometric information from the multiple types of biometric information based on a user selection, and acquires the first value and the second value.

[0106] With this configuration, it is possible to display a graph with any parameter on the vertical and horizontal axes.

[0107] (9) The information processing device receives subject status information indicating the current status of the subject being monitored; The information processing device described in any one of (1) to (7), wherein the acquisition unit acquires multiple types of biometric information of the subject, identifies the first biometric information and the second biometric information from among the multiple types of biometric information based on the subject condition information, and acquires the first value and the second value.

[0108] With this configuration, for example, when subject condition information indicating that the subject has just undergone heart surgery is input, biological information relating to the heart, such as the heart rate, can be automatically identified.

[0109] (10) The acquisition unit further acquires a first target value based on current third biological information of the subject who is the monitoring target, and a second target value based on current fourth biological information of the subject; the third biometric information is of the same type as the first biometric information, the first target value is of the same type as the first value, the fourth biometric information is of the same type as the second biometric information, the second target value is of the same type as the second value, The information processing device further includes a notification unit that notifies the subject of an abnormal state based on the first target value and the second target value, The information processing device according to any one of (1) to (9), wherein the criteria for determining whether to issue the notification can be changed depending on the standard range of the first value and the standard range of the second value based on the graph.

[0110] With this configuration, the criteria for determining whether to issue a notification can be appropriately set according to the standard range of the first value and the standard range of the second value for one or more subjects.

[0111] (11) The information processing device according to any one of (1) to (10), further comprising a notification unit that issues a notification when a predetermined number or more of outliers satisfy a predetermined condition among the plurality of first values ​​or the plurality of second values.

[0112] With this configuration, for example, if there are many outliers in the first value, it is possible to issue a notification encouraging the subject to review the way the equipment used to obtain the first biometric information is used, thereby enabling the subject's biometric information to be utilized more effectively.

[0113] (12) An information processing method executed by an information processing device, obtaining a plurality of first values ​​based on first biometric information of one or more subjects and a plurality of second values ​​based on second biometric information of the one or more subjects; generating image data for a screen showing the correspondence between the statistical variation of the first value and the second value, or the correspondence between the statistical variation of the second value and the first value, using a graph with the first value on the vertical axis and the second value on the horizontal axis.

[0114] By using this method, the relationship between a first value based on first biometric information of one or more subjects and a second value based on second biometric information of these one or more subjects is displayed in a manner different from conventional methods, thereby making it possible to make more effective use of the subjects' biometric information.

[0115] (13) A computer program including at least one instruction executed 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: an acquisition unit that acquires a plurality of first values ​​based on first biological information of one or more subjects and a plurality of second values ​​based on second biological information of the one or more subjects; a generating unit that generates image data for a screen showing a correspondence relationship between the statistical variation of the first value and the second value, or a correspondence relationship between the statistical variation of the second value and the first value, using a graph with the first value on the vertical axis and the second value on the horizontal axis.

[0116] With this configuration, the relationship between a first value based on first biometric information of one or more subjects and a second value based on second biometric information of these one or more subjects is displayed in a manner different from conventional methods, thereby enabling more effective use of the subjects' biometric information. [Explanation of symbols]

[0117] 1: Information processing system, 10: Sensor, 20: Information processing device, 21: Input interface, 22: Control unit, 23, 42: Operation unit, 24: Output interface, 30: Server, 40: Terminal device, 41: Display unit, 221: Memory, 222: Processor, 231: Acquisition unit, 232: Generation unit, 233: Identification unit, 234: Notification unit

Claims

1. an acquisition unit that acquires a plurality of first values ​​based on first biological information of one or more subjects and a plurality of second values ​​based on second biological information of the one or more subjects; an information processing device comprising: a generation unit that generates image data for a screen showing a correspondence relationship between the statistical variation of the first value and the second value, or a correspondence relationship between the statistical variation of the second value and the first value, using a graph with the first value on the vertical axis and the second value on the horizontal axis.

2. The information processing device according to claim 1 , wherein the graph indicates the statistical variation of the first value or the statistical variation of the second value using a box plot.

3. The information processing device according to claim 2 , further comprising an identifying unit that identifies a standard range of the first value and a standard range of the second value based on the box-and-whisker plot.

4. The information processing device according to claim 3 , wherein the generating unit generates the image data of a screen in which the standard range is indicated in the graph.

5. The acquisition unit further acquires a first target value based on current third biological information of the subject who is a monitoring target, and a second target value based on current fourth biological information of the subject, the third biometric information is of the same type as the first biometric information, the first target value is of the same type as the first value, the fourth biometric information is of the same type as the second biometric information, the second target value is of the same type as the second value, The information processing device according to claim 1 , wherein the generating unit generates the image data of a screen in which a display indicating the correspondence between the first target value and the second target value is included in the graph.

6. the acquiring unit acquires the first value and the second value for each of a plurality of subjects; 3. The information processing device according to claim 1, wherein the generation unit identifies, among the plurality of subjects, a plurality of subjects that belong to the same group when the plurality of subjects are classified according to predetermined conditions, and generates the image data based on the first value and the second value of each identified subject.

7. The information processing device according to claim 1 , wherein the generating unit generates the image data based on a plurality of the first values ​​and a plurality of the second values ​​of the same subject, the first values ​​and the second values ​​being acquired within a predetermined period of time.

8. 3. The information processing device according to claim 1, wherein the acquisition unit acquires multiple types of biometric information of the subject, identifies the first biometric information and the second biometric information from among the multiple types of biometric information based on a selection by a user, and acquires the first value and the second value.

9. the information processing device receives subject status information indicating a current status of a subject who is a monitoring target; 3. The information processing device according to claim 1, wherein the acquisition unit acquires multiple types of biometric information of the subject, identifies the first biometric information and the second biometric information from among the multiple types of biometric information based on the subject condition information, and acquires the first value and the second value.

10. The acquisition unit further acquires a first target value based on current third biological information of the subject who is a monitoring target, and a second target value based on current fourth biological information of the subject, the third biometric information is of the same type as the first biometric information, the first target value is of the same type as the first value, the fourth biometric information is of the same type as the second biometric information, the second target value is of the same type as the second value, The information processing device further includes a notification unit that notifies the subject of an abnormal state based on the first target value and the second target value, The information processing device according to claim 1 , wherein the criterion for determining whether to issue the notification is changeable depending on a standard range of the first value and a standard range of the second value based on the graph.

11. 3. The information processing device according to claim 1, further comprising a notification unit that issues a notification when a predetermined number or more of outliers that satisfy a predetermined condition are present among the plurality of first values ​​or the plurality of second values.

12. An information processing method executed by an information processing device, acquiring a plurality of first values ​​based on first biological information of one or more subjects and a plurality of second values ​​based on second biological information of the one or more subjects; generating image data for a screen showing a correspondence relationship between the statistical variation of the first value and the second value, or a correspondence relationship between the statistical variation of the second value and the first value, using a graph with the first value on the vertical axis and the second value on the horizontal axis.

13. 1. 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: an acquisition unit that acquires a plurality of first values ​​based on first biological information of one or more subjects and a plurality of second values ​​based on second biological information of the one or more subjects; a generating unit that generates image data for a screen showing a correspondence relationship between the statistical variation of the first value and the second value, or a correspondence relationship between the statistical variation of the second value and the first value, using a graph with the first value on the vertical axis and the second value on the horizontal axis.

Citation Information

Patent Citations

  • Biological information display device, display control device, and program

    JP2019150560A