Electrocardiogram evaluation method

Abstract

The electrocardiogram evaluation device 100 according to the present invention is provided with: an electrocardiogram acquisition unit 121 for acquiring electrocardiogram data measured from a person; a state acquisition unit 122 for acquiring state data that indicates the state where the electrocardiogram data is measured; and an evaluation unit 123 for evaluating the electrocardiogram data on the basis of the state data.

Description

[Technical Field]

[0001] The present invention relates to an electrocardiogram evaluation method, an electrocardiogram evaluation device, and a program. [Background technology]

[0002] One method for diagnosing a physical condition is to use an electrocardiogram. For example, in medical institutions, a 12-lead electrocardiogram is measured using an electrocardiograph, and the waveform of the electrocardiogram is evaluated to diagnose the physical condition. In recent years, as described in Patent Document 1, electrocardiograms have been automatically analyzed and evaluated using a model generated by machine learning. For example, in Patent Document 1, a model is generated by learning normal electrocardiograms and abnormal electrocardiograms of various diseases such as myocardial infarction, and the measured electrocardiogram is input into the model to evaluate the electrocardiogram. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Publication No. 2020-130772 Summary of the Invention [Problem to be solved by the invention]

[0004] However, even an electrocardiogram of a normal person may have a waveform similar to that of an electrocardiogram of a person with a disease. For example, the electrocardiograms of a healthy young person and a patient with acute myocardial infarction may have similar waveforms. Furthermore, even if the disease is different, the electrocardiogram waveforms may be similar. For example, the electrocardiogram waveforms of myocardial infarction and subarachnoid hemorrhage may be similar. This creates a problem in that it is difficult to accurately evaluate an electrocardiogram.

[0005] An object of the present invention is to provide an electrocardiogram evaluation method that can solve the above-mentioned problem of the difficulty in accurately evaluating an electrocardiogram. [Means for solving the problem]

[0006] An electrocardiogram evaluation method according to one embodiment of the present invention includes: Acquire electrocardiogram data measured from a person, acquiring situation data representing a situation in which the electrocardiogram data was measured; evaluating the electrocardiogram data based on the situation data; The structure is as follows.

[0007] Furthermore, an electrocardiogram evaluation device according to one aspect of the present invention includes: an electrocardiogram acquisition unit that acquires electrocardiogram data measured from a person; a situation acquisition unit that acquires situation data representing a situation in which the electrocardiogram data was measured; an evaluation unit that evaluates the electrocardiogram data based on the situation data; Equipped with The structure is as follows.

[0008] Furthermore, a program according to one aspect of the present invention includes: Acquire electrocardiogram data measured from a person, acquiring situation data representing a situation in which the electrocardiogram data was measured; evaluating the electrocardiogram data based on the situation data; Have the computer perform the process, The structure is as follows. [Effects of the Invention]

[0009] With the above-described configuration, the present invention can evaluate an electrocardiogram with high accuracy. [Brief explanation of the drawings]

[0010] [Figure 1] 1 is a diagram showing the overall configuration of an information processing system according to a first embodiment of the present invention. [Figure 2] FIG. 2 is a block diagram showing the configuration of the electrocardiogram evaluation device disclosed in FIG. 1. [Figure 3]2 is a flowchart showing the operation of the electrocardiogram evaluation device disclosed in FIG. [Figure 4] FIG. 10 is a block diagram showing the hardware configuration of an electrocardiogram evaluation device according to a second embodiment of the present invention. [Figure 5] FIG. 10 is a block diagram showing the configuration of an electrocardiogram evaluation device according to a second embodiment of the present invention. [Figure 6] 10 is a flowchart showing the operation of the electrocardiogram evaluation device according to the third embodiment of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0011] <Embodiment 1> A first embodiment of the present invention will be described with reference to Figures 1 to 3. Figures 1 and 2 are diagrams for explaining the configuration of an information processing system, and Figure 3 is a diagram for explaining the processing operation of the information processing system.

[0012] [composition] The information processing system of the present invention is for evaluating an electrocardiogram in order to diagnose a person's physical condition in a medical institution. For example, the information processing system is for evaluating a normal state and an abnormal state such as a myocardial infarction or a subarachnoid hemorrhage from an electrocardiogram using a model generated by machine learning.

[0013] 1, the information processing system includes an electrocardiogram evaluation device 10, an electronic medical record device 20, and an electrocardiogram measurement device 30, which are connected via a network N. Each component will be described in detail below.

[0014] The electrocardiogram measurement device 30 is a device that measures an electrocardiogram from a person P. For example, the electrocardiogram measurement device 30 is an electrocardiograph installed in a predetermined location R of a medical institution such as a hospital room, an examination room, or an intensive care unit, or an electrocardiograph incorporated into a wearable device such as a wristwatch-type mobile terminal worn by the person P.

[0015] In addition to the components for measuring an electrocardiogram, the electrocardiogram measurement device 30 is also equipped with components that are included in general information processing devices, such as a communication device and a calculation device, and has the function of transmitting measured electrocardiogram data to the electronic medical record device 20. As a result, the electrocardiogram data measured by the electrocardiogram measurement device 30 is stored in the electronic medical record for each person P. As an example, the operator of the electrocardiogram measurement device 30 identifies the electronic medical record of the person P who is the measurement target from the electronic medical records stored in the electronic medical record device 20, and records the measured electrocardiogram data of the person P in that electronic medical record. Furthermore, if the electrocardiogram measurement device 30 is a wearable device, the electrocardiogram data is recorded in the electronic medical record corresponding to the person P by transmitting the electrocardiogram data together with the identification information of the person P to the electronic medical record device 20. However, the electrocardiogram data may be recorded in the electronic medical record by any method.

[0016] Furthermore, when recording electrocardiogram data in the electronic medical record device 20, the electrocardiogram measurement device 30 associates identification information, such as its own IP address, with the electrocardiogram data and transmits it to the electronic medical record device 20. That is, the electrocardiogram measurement device 30 associates identification information, which identifies the source of the electrocardiogram data, with the electrocardiogram data and transmits it. At this time, the identification information can be data that identifies the location where the electrocardiogram measurement device 30, which is the source of the electrocardiogram data, is installed, i.e., the location where the electrocardiogram was measured. For example, by assigning different identification information to each electrocardiogram measurement device 30 installed in each location R, such as a hospital room, an examination room, and an intensive care unit, in advance, and storing correspondence information between each location R and each identification information in the electronic medical record device 20 and the electrocardiogram evaluation device 10 (described later), it becomes possible to identify the location where the electrocardiogram data was measured from the identification information associated with the electrocardiogram data. Similarly, when the electrocardiogram measurement device 30 is a wearable device, by associating identification information such as an IP address or information indicating that it is a wearable device with the electrocardiogram data, it is possible to identify that the electrocardiogram data was measured by a wearable device.

[0017] The electrocardiogram data measured by the electrocardiogram measurement device 30 may be transmitted directly to the electrocardiogram evaluation device 10.

[0018] The electronic medical record device 20 is configured as a general information processing device equipped with a computing device and a storage device managed by a medical institution, and stores an electronic medical record of person P in the storage device. For example, the electronic medical record records the test results and diagnosis results of person P. For example, the electronic medical record records basic physical data such as person P's age, sex, height, and weight; measurement data such as heart rate, body temperature, blood pressure, and the electrocardiogram data described above; test data such as blood test results and image diagnosis results; and medical condition data such as state of consciousness, current or past illnesses, and the circumstances at the time of diagnosis and examination. The data recorded in the electronic medical record is recorded by data input by a diagnosing or examining person, or by data transmitted from an electrocardiogram measuring device 30 such as the electrocardiograph or wearable device described above, or various examination and measurement devices.

[0019] At this time, the electrocardiogram data recorded in the electronic medical record is stored in association with information that identifies the location where the electrocardiogram was measured, such as the above-mentioned identification information. The electrocardiogram data is also stored in association with data indicating the circumstances at the time of measurement, such as the history of how the electrocardiogram was measured. Examples of data indicating the history of how the electrocardiogram was measured include the fact that the electrocardiogram was measured when person P visited a medical institution as a patient in a general outpatient or emergency outpatient clinic, that the electrocardiogram was measured while person P was hospitalized in a general ward or an intensive care unit, or that the electrocardiogram was measured routinely using a wearable device.

[0020] The electrocardiogram evaluation device 10 is composed of one or more information processing devices each including a calculation device and a storage device. As shown in FIG. 2, the electrocardiogram evaluation device 10 includes an electrocardiogram acquisition unit 11, a status acquisition unit 12, a determination unit 13, and an evaluation unit 14. The functions of the electrocardiogram acquisition unit 11, the status acquisition unit 12, the determination unit 13, and the evaluation unit 14 can be realized by the calculation device executing a program for realizing each function stored in the storage device. The electrocardiogram evaluation device 10 also includes an evaluation model storage unit 16. The evaluation model storage unit 16 is composed of a storage device. Each component will be described in detail below.

[0021] When diagnosing person P, the electrocardiogram acquiring unit 11 acquires corresponding electrocardiogram data of person P from the above-mentioned electronic medical record device 20. However, the electrocardiogram acquiring unit 11 may automatically acquire electrocardiogram data at a preset timing, such as at a fixed time interval. Alternatively, the electrocardiogram acquiring unit 11 may acquire electrocardiogram data from an electrocardiogram measurement device 30.

[0022] When diagnosing person P, the situation acquisition unit 12 acquires situation data representing the situation under which the electrocardiogram data acquired as described above was measured from person P. For example, the situation acquisition unit 12 acquires the corresponding recorded data of person P from the electronic medical record device 20 as situation data. As an example, the situation acquisition unit 12 identifies the installation location of the electrocardiogram measurement device 30, which is data from the sender of the electrocardiogram data associated with the electrocardiogram data as described above, as the location where the electrocardiogram was measured, and acquires this location as situation data, or acquires the circumstances under which the electrocardiogram data associated with the electrocardiogram data was measured as situation data. However, the situation acquisition unit 12 may automatically acquire situation data at a predetermined timing, such as at a fixed time interval. Alternatively, the situation acquisition unit 12 may acquire the above-mentioned situation data from data associated with the electrocardiogram data from the electrocardiogram measurement device 30.

[0023] The situation acquisition unit 12 also acquires all recorded data recorded in the electronic medical record of person P. For example, the situation acquisition unit 12 acquires basic physical data such as age, sex, height, and weight, measurement data such as heart rate, body temperature, and blood pressure, and medical condition data such as state of consciousness, current or past illnesses, the situation at the time of diagnosis, and the situation at the time of examination, all of which are recorded in the electronic medical record of person P.

[0024] The determination unit 13 determines the current physical condition of person P based on the acquired situation data. For example, the determination unit 13 determines whether or not the physical condition of person P requires urgency. Specifically, the determination unit 13 determines whether or not the physical condition of person P requires urgency based on, for example, the circumstances and location of measurement of person P's electrocardiogram data among the situation data acquired as described above. As an example, if the circumstances of person P being measured are such that person P was in an emergency outpatient clinic or the measurement was performed in a place such as an intensive care unit, the determination unit 13 determines that urgency is required. On the other hand, if the circumstances of person P being measured are such that person P was in a general outpatient clinic or the measurement was performed using a wearable device, the determination unit 13 determines that urgency is not required. Note that the determination unit 13 may determine a level of urgency set in stages based on the situation data.

[0025] Furthermore, the determination unit 13 may determine the current physical condition of person P based on the acquired record data of person P. For example, the determination unit 13 may determine that person P's physical condition requires emergency based on person P's age, current and past medical history, etc. Furthermore, the determination unit 13 may determine the attributes of person P's physical condition simply based on person P's current age and medical history, without being limited to whether person P's physical condition requires emergency. For example, the determination unit 13 may determine that person P is elderly, has a chronic illness, etc. as the attributes of person P's physical condition.

[0026] As described above, the evaluation unit 14 evaluates the electrocardiogram data based on situation data indicating the circumstances and location where the electrocardiogram data was measured from the person P and recorded data related to the person P's body. Specifically, the evaluation unit 14 selects an evaluation model corresponding to the physical condition of the person P determined based on the situation data and recorded data as described above, and evaluates the electrocardiogram data of the person P using the selected evaluation model. Here, the evaluation model is stored in the evaluation model storage unit 16 and is a model generated by learning normal electrocardiograms and abnormal electrocardiograms of various diseases such as myocardial infarction. In particular, in this embodiment, evaluation models corresponding to cases where no emergency is required and cases where emergency is required are prepared by learning. As an example, when no emergency is required, electrocardiogram data of a person with a normal physical condition is weighted higher, and when emergency is required, electrocardiogram data of a person with an abnormal physical condition is weighted higher, thereby generating an evaluation model corresponding to each level of urgency. In addition, evaluation models corresponding to the attributes of the person P determined as described above, such as elderly status and chronic illness, are prepared. For example, for an attribute such as elderly, the electrocardiogram data of elderly people is weighted higher in the learning process, and for an attribute such as having a chronic illness, the electrocardiogram data of people suffering from a specific disease is weighted higher in the learning process, and an evaluation model is generated according to each level of urgency.

[0027] The evaluation unit 14 inputs the electrocardiogram data of the target person P into an evaluation model selected according to the determination result as described above, and performs evaluation based on the output data output from the evaluation model. For example, if the output data of a specific disease such as myocardial infarction is output as a result of inputting the electrocardiogram data into the evaluation model, the evaluation unit 14 evaluates that there is a high possibility of the specific disease.

[0028] However, the evaluation unit 14 is not necessarily limited to evaluating the electrocardiogram data using an evaluation model. For example, the evaluation unit 14 may extract a detection value that can be detected from the waveform of the electrocardiogram data, compare the detection value with a preset reference value for evaluating the electrocardiogram data, and evaluate the presence or absence of a specific disease based on the result. In this case, the evaluation unit 14 may change the reference value to be compared with the detection value from the electrocardiogram data depending on the above-mentioned determination result, i.e., whether or not there is an emergency and the attributes of the person P. As an example, corresponding reference values ​​may be set in advance for the presence or absence of an emergency and the attributes of the person P, and a reference value may be selected from these depending on the determination result and used to evaluate the electrocardiogram data.

[0029] As examples of the evaluation results of the electrocardiogram data, the evaluation unit 14 may calculate the degree of physical abnormality of the person P, the urgency of treatment for the person P, and the presence or absence of a specific disease. However, the evaluation unit 14 may evaluate any content as long as it can be calculated from the electrocardiogram data.

[0030] [Operation] Next, the operation of the electrocardiogram evaluation device 10 will be described mainly with reference to the flowchart of FIG.

[0031] First, when diagnosing person P, the electrocardiogram evaluation device 10 acquires electrocardiogram data of person P (step S1). Next, the electrocardiogram evaluation device 10 acquires situation data indicating the situation in which the acquired electrocardiogram data was measured from person P (step S2). For example, the electrocardiogram evaluation device 10 acquires corresponding data of person P from the electronic medical record device 20 as situation data. As an example, the electrocardiogram evaluation device 10 acquires the location where the electrocardiogram was measured or the history of how the electrocardiogram data associated with the electrocardiogram data was measured from the identification information of the electrocardiogram measurement device 30 that is the sender of the electrocardiogram data associated with the electrocardiogram data as described above. At this time, the electrocardiogram evaluation device 10 may also acquire any record data recorded in person P's electronic medical record.

[0032] Next, the electrocardiogram evaluation device 10 determines the current physical condition of the person P based on the acquired situation data (step S3). Specifically, the electrocardiogram evaluation device 10 determines whether or not the physical condition of the person P requires emergency treatment. For example, the determination unit 13 determines that emergency treatment is required if the person P was measured in an emergency outpatient clinic or in an intensive care unit, and determines that emergency treatment is not required if the person P was measured in a general outpatient clinic or with a wearable device. At this time, the electrocardiogram evaluation device 10 may determine the current physical condition of the person P based not only on the situation data but also on recorded data such as the age and medical history of the person P.

[0033] Next, the electrocardiogram evaluation device 10 evaluates the electrocardiogram data (step S4). At this time, the electrocardiogram evaluation device 10 evaluates the electrocardiogram data based on situation data indicating the circumstances and location where the electrocardiogram data was measured and recorded data related to the body of person P. For example, the electrocardiogram evaluation device 10 selects an evaluation model corresponding to the physical condition of person P determined based on the situation data and recorded data, and evaluates the electrocardiogram data of person P using the selected evaluation model.

[0034] Thereafter, the evaluation unit 14 of the electrocardiogram evaluation device 10 inputs the electrocardiogram data of the target person P into an evaluation model selected according to the judgment result as described above, and performs evaluation based on the output data output from the evaluation model. For example, if the input of electrocardiogram data into the evaluation model results in output data indicating a specific disease such as myocardial infarction, the evaluation device 10 evaluates that there is a high possibility of the specific disease. Alternatively, the electrocardiogram evaluation device 10 extracts detection values ​​that can be detected from the waveform of the electrocardiogram data, compares the detection values ​​with reference values ​​corresponding to the physical condition of the person P judged based on the situation data and recorded data, and evaluates the presence or absence of a specific disease from the results.

[0035] As described above, according to this embodiment, an evaluation model and a reference value are used to evaluate an electrocardiogram of person P, depending on the circumstances when the electrocardiogram was measured, for example, the circumstances and location when the electrocardiogram was measured. This makes it possible to evaluate electrocardiogram data using criteria suited to the circumstances of person P when the electrocardiogram was measured, thereby obtaining more accurate evaluation results. As a result, it is possible to obtain electrocardiogram evaluation results that accurately distinguish between, for example, a healthy young person and a patient with acute myocardial infarction, whose electrocardiograms may have similar waveforms, or between people with different diseases.

[0036] <Embodiment 2> Next, a second embodiment of the present invention will be described with reference to Fig. 4 to Fig. 6. Fig. 4 to Fig. 5 are block diagrams showing the configuration of an electrocardiogram evaluation device in embodiment 2, and Fig. 6 is a flowchart showing the operation of the electrocardiogram evaluation device. Note that this embodiment shows an outline of the configuration of the electrocardiogram evaluation device and electrocardiogram evaluation method described in the above embodiments.

[0037] First, the hardware configuration of the electrocardiogram evaluation device 100 in this embodiment will be described with reference to Fig. 4. The electrocardiogram evaluation device 100 is configured as a general information processing device, and is equipped with the following hardware configuration, as an example. CPU (Central Processing Unit) 101 (arithmetic unit) (or GPU (Graphics Processing Unit)) ROM (Read Only Memory) 102 (storage device) RAM (Random Access Memory) 103 (storage device) Programs 104 loaded into RAM 103 A storage device 105 for storing a group of programs 104 A drive device 106 that reads and writes from a storage medium 110 external to the information processing device A communication interface 107 that connects to a communication network 111 outside the information processing device Input / output interface 108 for inputting and outputting data Bus 109 connecting each component

[0038] The electrocardiogram evaluation device 100 can be equipped with an electrocardiogram acquisition unit 121, a status acquisition unit 122, and an evaluation unit 123 shown in Fig. 5 by having the CPU 101 acquire and execute the program group 104. The program group 104 is stored in advance in, for example, the storage device 105 or the ROM 102, and is loaded into the RAM 103 and executed by the CPU 101 as needed. The program group 104 may be supplied to the CPU 101 via the communication network 111, or may be stored in advance in the storage medium 110, and the drive device 106 may read and supply the programs to the CPU 101. However, the electrocardiogram acquisition unit 121, the status acquisition unit 122, and the evaluation unit 123 may be constructed using dedicated electronic circuits for realizing such means.

[0039] 4 shows an example of the hardware configuration of the information processing device that is the electrocardiogram evaluation device 100, and the hardware configuration of the information processing device is not limited to the above-described case. For example, the information processing device may be configured with a part of the above-described configuration, such as excluding the drive device 106.

[0040] The electrocardiogram evaluation device 100 then executes the electrocardiogram evaluation method shown in the flowchart of FIG. 6 by the functions of the electrocardiogram acquisition unit 121, the condition acquisition unit 122, and the evaluation unit 123, which are constructed by the program as described above.

[0041] As shown in FIG. 6, the electrocardiogram evaluation device 100 includes: Electrocardiogram data measured from a person is acquired (step S101); Acquire situation data representing the situation in which the electrocardiogram data was measured (step S102); Evaluating the electrocardiogram data based on the situation data (step S103); The following process is executed.

[0042] With the above-described configuration, the present invention can evaluate electrocardiogram data using criteria suited to the circumstances under which the person's electrocardiogram was measured, thereby obtaining more accurate evaluation results. As a result, it is possible to obtain electrocardiogram evaluation results that accurately distinguish between, for example, a healthy young person and a patient with acute myocardial infarction, whose electrocardiogram waveforms may be similar, or between patients with different diseases.

[0043] The above-described program can be stored and supplied to a computer using various types of non-transitory computer-readable media. Non-transitory computer-readable media include various types of tangible storage media. Examples of 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), flash ROMs, and RAMs (Random Access Memory)). The program may also be supplied to a computer by various types of transitory computer-readable media. Examples of transitory computer-readable media include electrical signals, optical signals, and electromagnetic waves. The transitory computer-readable media can supply the program to a computer via a wired communication path such as an electric wire or optical fiber, or via a wireless communication path.

[0044] Although the present invention has been described above with reference to the above-described embodiments, the present invention is not limited to the above-described embodiments. Various modifications that are understandable to those skilled in the art can be made to the configuration and details of the present invention within the scope of the present invention. Furthermore, at least one or more of the functions of the electrocardiogram acquisition unit 121, the status acquisition unit 122, and the evaluation unit 123 described above may be executed by an information processing device installed and connected anywhere on a network, i.e., may be executed by so-called cloud computing.

[0045] <Additional Notes> Some or all of the above embodiments can also be described as follows: The following provides an overview of the configurations of the electrocardiogram evaluation method, electrocardiogram evaluation device, and program of the present invention. However, the present invention is not limited to the following configurations. (Appendix 1) Acquire electrocardiogram data measured from a person, acquiring situation data representing a situation in which the electrocardiogram data was measured; evaluating the electrocardiogram data based on the situation data; Electrocardiogram evaluation methods. (Appendix 2) 2. The electrocardiogram evaluation method according to claim 1, As the situation data, data indicating how the electrocardiogram data was measured is acquired from the person. Electrocardiogram evaluation methods. (Appendix 3) 3. The electrocardiogram evaluation method according to claim 1 or 2, acquiring, as the situation data, data representing a location where the electrocardiogram data was measured from the person; Electrocardiogram evaluation methods. (Appendix 4) 4. The electrocardiogram evaluation method according to claim 3, acquiring the condition data based on data representing a source of the electrocardiogram data; Electrocardiogram evaluation methods. (Appendix 5) 5. The electrocardiogram evaluation method according to any one of Supplementary Notes 1 to 4, obtaining the situation data from the person's electronic medical record; Electrocardiogram evaluation methods. (Appendix 6) 6. The electrocardiogram evaluation method according to any one of Supplementary Notes 1 to 5, determining a physical state of the person according to the situation data; evaluating the electrocardiogram data based on the determined physical condition; Electrocardiogram evaluation methods. (Appendix 7) 7. The electrocardiogram evaluation method according to claim 6, determining the physical condition based on recorded data relating to the person's body; Electrocardiogram evaluation methods. (Appendix 8) The electrocardiogram evaluation method according to claim 6 or 7, changing a criterion for evaluating the electrocardiogram data in accordance with the determined physical condition; Electrocardiogram evaluation methods. (Appendix 9) The electrocardiogram evaluation method according to any one of Supplementary Notes 6 to 8, selecting a model according to the determined physical condition, and inputting the electrocardiogram data into the selected model to evaluate the electrocardiogram data based on output data; Electrocardiogram evaluation methods. (Appendix 10) 10. The electrocardiogram evaluation method according to any one of Supplementary Notes 1 to 9, selecting a model according to the situation data, and inputting the electrocardiogram data into the selected model to evaluate the electrocardiogram data based on output data; Electrocardiogram evaluation methods. (Appendix 11) an electrocardiogram acquisition unit that acquires electrocardiogram data measured from a person; a situation acquisition unit that acquires situation data representing a situation in which the electrocardiogram data was measured; an evaluation unit that evaluates the electrocardiogram data based on the situation data; An electrocardiogram evaluation device equipped with the device. (Appendix 12) 12. The electrocardiogram evaluation device according to claim 11, the situation acquisition unit acquires, as the situation data, data indicating how the electrocardiogram data was measured from the person; Electrocardiogram evaluation device. (Appendix 13) 13. The electrocardiogram evaluation device according to claim 11, the situation acquisition unit acquires, as the situation data, data representing a location where the electrocardiogram data was measured from the person; Electrocardiogram evaluation device. (Appendix 14) 14. The electrocardiogram evaluation device according to claim 13, the condition acquisition unit acquires the condition data based on data representing a transmission source of the electrocardiogram data; Electrocardiogram evaluation device. (Appendix 15) 15. The electrocardiogram evaluation device according to any one of Supplementary Notes 11 to 14, The situation acquisition unit acquires the situation data from an electronic medical record of the person. Electrocardiogram evaluation device. (Appendix 16) 16. The electrocardiogram evaluation device according to any one of Supplementary Notes 11 to 15, a determination unit that determines a physical state of a person in accordance with the situation data; the evaluation unit evaluates the electrocardiogram data based on the determined physical condition. Electrocardiogram evaluation device. (Appendix 17) 17. The electrocardiogram evaluation device according to claim 16, the determination unit determines the physical condition based on recorded data related to the person's body. Electrocardiogram evaluation device. (Appendix 18) 18. The electrocardiogram evaluation device according to claim 16, the evaluation unit changes a criterion for evaluating the electrocardiogram data in accordance with the determined physical condition. Electrocardiogram evaluation device. (Appendix 19) 19. The electrocardiogram evaluation device according to any one of Supplementary Notes 16 to 18, the evaluation unit selects a model according to the determined physical condition, and evaluates the electrocardiogram data based on output data output by inputting the electrocardiogram data into the selected model. Electrocardiogram evaluation device. (Appendix 20) 20. The electrocardiogram evaluation device according to any one of Supplementary Notes 11 to 19, the evaluation unit selects a model according to the situation data, and evaluates the electrocardiogram data based on output data output by inputting the electrocardiogram data into the selected model. Electrocardiogram evaluation device. (Appendix 21) Acquire electrocardiogram data measured from a person, acquiring situation data representing a situation in which the electrocardiogram data was measured; evaluating the electrocardiogram data based on the situation data; A computer-readable storage medium that stores a program for causing a computer to execute a process. [Explanation of symbols]

[0046] 10. Electrocardiogram evaluation device 11 Electrocardiogram acquisition unit 12 Status Acquisition Unit 13 Judgment section 14 Evaluation Section 16 Evaluation model memory section 20 Electronic medical record device 30 Electrocardiogram measuring device P person 100 Electrocardiogram evaluation device 101 CPU 102 ROM 103 RAM 104 Programs 105 Storage device 106 Drive device 107 Communication Interface 108 Input / Output Interface 109 Bus 110 Storage medium 111 Communication Network 121 Electrocardiogram Acquisition Unit 122 Status Acquisition Unit 123 Evaluation Department

Claims

1. The information processing device Acquire electrocardiogram data measured from a person, When acquiring situation data representing a situation in which the electrocardiogram data was measured, data representing a predetermined location in a medical institution where the electrocardiogram data was measured is acquired from the person as the situation data; Evaluating the electrocardiogram data based on the situation data; moreover, determining whether the person's physical condition requires an emergency based on the situation data; selecting a model depending on whether or not the determined urgency is required, and inputting the electrocardiogram data into the selected model to output data, thereby evaluating the electrocardiogram data based on the output data; Electrocardiogram evaluation methods.

2. 2. The electrocardiogram evaluation method according to claim 1, The information processing device, acquiring, as the situation data, an installation location of a device that is a transmission source of the electrocardiogram data based on data representing the transmission source of the electrocardiogram data; Electrocardiogram evaluation methods.

3. 3. The electrocardiogram evaluation method according to claim 1 or 2, The information processing device, obtaining the situation data from the person's electronic medical record; Electrocardiogram evaluation methods.

4. an electrocardiogram acquisition unit that acquires electrocardiogram data measured from a person; a situation acquisition unit that acquires, when acquiring situation data representing a situation in which the electrocardiogram data was measured, data representing a predetermined location in a medical institution where the electrocardiogram data was measured from a person as the situation data; a determination unit that determines whether or not the person's physical condition requires emergency based on the situation data; an evaluation unit that evaluates the electrocardiogram data based on the situation data; Equipped with the evaluation unit selects a model depending on whether or not the determined urgency is required, and evaluates the electrocardiogram data based on output data output by inputting the electrocardiogram data into the selected model. Electrocardiogram evaluation device.

5. The electrocardiogram evaluation device according to claim 4, the situation acquisition unit acquires, as the situation data, an installation location of a device that is a transmission source of the electrocardiogram data based on data representing the transmission source of the electrocardiogram data. Electrocardiogram evaluation device.

6. 6. The electrocardiogram evaluation device according to claim 4 or 5, The situation acquisition unit acquires the situation data from an electronic medical record of the person. Electrocardiogram evaluation device.

7. Acquire electrocardiogram data measured from a person, When acquiring situation data representing a situation in which the electrocardiogram data was measured, data representing a predetermined location in a medical institution where the electrocardiogram data was measured is acquired from the person as the situation data; Evaluating the electrocardiogram data based on the situation data; moreover, determining whether the person's physical condition requires an emergency based on the situation data; selecting a model depending on whether or not the determined urgency is required, and inputting the electrocardiogram data into the selected model to output data, thereby evaluating the electrocardiogram data based on the output data; A program that causes a computer to execute a process.

8. 8. The program according to claim 7, acquiring, as the situation data, an installation location of a device that is a transmission source of the electrocardiogram data based on data representing the transmission source of the electrocardiogram data; A program that causes a computer to execute a process.

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