Notification Method
The method addresses the issue of inappropriate notifications by determining abnormality urgency and selecting tailored responses using electrocardiogram data from wearable devices, ensuring appropriate actions are taken based on individual conditions.
Patent Information
- Application Number
- JP2024510791
- Authority / Receiving Office
- JP · JP
- Patent Type
- Patents
- Current Assignee / Owner
- Filing Date
- 2022-03-29
- Publication Date
- 2025-08-26
- Estimated Expiration
- 2042-03-29
AI Technical Summary
Existing methods for determining and notifying physical abnormalities based on electrocardiogram data from wearable devices do not consider the individual's condition, leading to inappropriate notifications.
A method that includes detecting the degree of abnormality from electrocardiogram data, determining the urgency of the abnormality, selecting appropriate response data based on the urgency, and notifying the individual or a third party accordingly, using a wearable device equipped with electrocardiograph and connected to electronic medical records.
Provides notifications tailored to the individual's condition, ensuring appropriate responses are taken when abnormalities are detected.
Smart Images

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Abstract
Description
[Technical Field]
[0001] The present invention relates to a notification method, a notification device, and a program. [Background technology]
[0002] One method for diagnosing a physical condition is to use an electrocardiogram. Electrocardiograms are generally measured using an electrocardiograph at a medical institution, but in recent years, they have also been measured using a wearable device such as a wristwatch-type portable terminal. Since a wearable device is always worn by a person, it is possible to measure an electrocardiogram at any time. For this reason, Patent Document 1 describes a method for determining the degree of physical abnormality from an electrocardiogram measured by a wearable device, and transmitting notification information to a pre-registered notification destination corresponding to the degree of abnormality. [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, in the method described in Patent Document 1, the notification destination of the notification information is preset according to the degree of physical abnormality determined from an electrocardiogram, and the person's condition and other circumstances are not taken into consideration. Furthermore, the types of electrocardiograms that can be measured with a wearable device are limited, and the degree of abnormality is not necessarily determined according to the person's condition. Therefore, it is unclear whether the notification destination of the notification information or the notification itself is appropriate. This creates a problem in that even if an abnormality is detected from an electrocardiogram measured with a wearable device, the notification may not be appropriate for the person's condition.
[0005] The object of the present invention is to provide a notification method that can solve the above-mentioned problem that when an abnormality is detected from an electrocardiogram measured by a wearable device, a notification appropriate to the person's condition may not be provided. [Means for solving the problem]
[0006] A notification method according to one aspect of the present invention includes: Detects the degree of abnormality in a person from their electrocardiogram data measured by a wearable device, determining the degree of urgency of the abnormality of the person based on the abnormality degree; selecting the response data according to the degree of urgency from among response data indicating the content of a response to be notified to the person or a third party that has been set in advance; performing a notification according to the selected corresponding data; The structure is as follows.
[0007] Furthermore, a notification device according to one aspect of the present invention includes: a detection unit that detects the degree of abnormality of a person from electrocardiogram data of the person measured by a wearable device; a determination unit that determines the degree of urgency of the abnormality of the person based on the abnormality degree; a selection unit that selects, from among predetermined response data indicating response content to be notified to the person or a third party, the response data in accordance with the degree of urgency; a notification unit that issues a notification according to the selected corresponding data; Equipped with The structure is as follows.
[0008] Furthermore, a program according to one aspect of the present invention includes: Detects the degree of abnormality in a person from their electrocardiogram data measured by a wearable device, determining the degree of urgency of the abnormality of the person based on the abnormality degree; selecting the response data according to the degree of urgency from among response data indicating the content of a response to be notified to the person or a third party that has been set in advance; performing a notification according to the selected corresponding 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 provide a notification appropriate to a person's condition when an abnormality is detected from an electrocardiogram measured by a wearable device. [Brief explanation of the drawings]
[0010] [Figure 1] 1 is a diagram showing the overall configuration of a notification system according to a first embodiment of the present invention. [Figure 2] FIG. 2 is a block diagram showing the configuration of the user terminal disclosed in FIG. [Figure 3] 2 is a flowchart showing the operation of the user terminal disclosed in FIG. 1; [Figure 4] FIG. 10 is a diagram showing the overall configuration of a notification system according to a second embodiment of the present invention. [Figure 5] FIG. 5 is a block diagram showing the configuration of the user terminal disclosed in FIG. 4. [Figure 6] FIG. 10 is a block diagram showing the hardware configuration of a notification device according to a third embodiment of the present invention. [Figure 7] FIG. 10 is a block diagram showing the configuration of a notification device according to a third embodiment of the present invention. [Figure 8] 10 is a flowchart showing the operation of the notification 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 a notification system, and Figure 3 is a diagram for explaining the processing operation of the notification system.
[0012] [composition] The notification system of the present invention is for providing a notification appropriate to the condition of person P when a physical abnormality of person P is detected from an electrocardiogram measured by a wearable device. For this reason, user terminal 10, which is a wearable device in this embodiment, is a wristwatch-type portable terminal worn on the wrist of person P, and is equipped with an electrocardiograph that measures an electrocardiogram, as shown in FIG. 1. However, user terminal 10, which is a wearable device, is not limited to being a wristwatch-type portable terminal, and may be any device that can be worn by person P and measure an electrocardiogram. Furthermore, user terminal 10 may be a combination of a wearable device that is a wristwatch-type portable terminal and a portable information processing terminal such as a smartphone carried by person P that is connected to the wearable device via short-range wireless communication.
[0013] 1, the notification system includes a user terminal 10, which is a wearable device connectable to a network N. The user terminal 10 is connected to an electronic medical record device 20 and a medical institution device 30 via the network N.
[0014] The electronic medical record device 20 is an information processing device managed by a medical institution, and stores an electronic medical record of person P. For example, the electronic medical record records the test results and diagnosis results of person P. As an 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 electrocardiogram, and medical condition data such as state of consciousness, current or past illnesses, and the circumstances at the time of diagnosis and examination. As will be described later, the electronic medical record device 20 has a function of transmitting data recorded in the electronic medical record of person P wearing the user terminal 10 to the user terminal 10 in response to a request from the user terminal 10.
[0015] The medical institution device 30 is an information processing device managed by a medical institution, and can be operated by medical institution staff such as doctors, examiners, etc. As will be described later, the medical institution device 30 receives a notification from the user terminal 10 and outputs the notification content to notify the doctor, examiner, etc.
[0016] The user terminal 10 is a wearable device equipped with a computing device and a storage device, and as described above, is equipped with an electrocardiograph that measures an electrocardiogram from the person P. The user terminal 10 is also equipped with various sensors that measure vital data that indicates the physical condition of the person P, such as body temperature, blood pressure, and oxygen saturation.
[0017] As shown in Fig. 2, the user terminal 10 includes a user data acquisition unit 11, an abnormality detection unit 12, a determination unit 13, a selection unit 14, and a notification unit 15. Each function of the user data acquisition unit 11, the abnormality detection unit 12, the determination unit 13, the selection unit 14, and the notification unit 15 can be realized by a computing device executing a program for realizing each function stored in a storage device. The user terminal 10 also includes a user data storage unit 16 and a corresponding data storage unit 17. The user data storage unit 16 and the corresponding data storage unit 17 are configured by a storage device. Each component will be described in detail below.
[0018] The user data acquisition unit 11 acquires electrocardiogram data measured by an electrocardiograph equipped in the user terminal 10 and stores it in the user data storage unit 16. For example, the user data acquisition unit 11 may acquire electrocardiogram data measured automatically at preset timing, such as at regular time intervals, or may acquire electrocardiogram data measured in response to an instruction from the person P. The user data acquisition unit 11 also acquires vital data indicating physical conditions, such as body temperature, blood pressure, and oxygen saturation, measured by various sensors equipped in the user terminal 10, and stores the vital data in the user data storage unit 16. The user data acquisition unit 11 acquires, as vital data, numerical values input by the person P and text information indicating the person P's condition and symptoms at that time, and stores the vital data in the user data storage unit 16. At this time, the user data acquisition unit 11 acquires data input by the person P via keyboard input, voice input, or the like.
[0019] Furthermore, the user data acquisition unit 11 requests the electronic medical record device 20 to acquire all record data recorded in the electronic medical record of the person P and stores the acquired data in the user data storage unit 16. For example, the user data acquisition unit 11 acquires basic physical data such as age, sex, height, and weight recorded in the electronic medical record of the person P, measurement data such as heart rate, body temperature, blood pressure, and electrocardiogram, test data such as blood test results and image diagnosis results, and medical condition data such as state of consciousness, current or past illnesses, conditions at the time of diagnosis, and conditions at the time of examination. The user data acquisition unit 11 may also acquire the above-mentioned record data by receiving input from the person P. The acquired record data may also include data on the person P's genetics, lifestyle habits, external environment, family information, etc.
[0020] As described above, the recorded data acquired by the user data acquisition unit 11 may be acquired, for example, via a portable information processing terminal connected to the wearable device via short-range wireless communication.
[0021] The anomaly detection unit 12 (detection unit) detects the degree of abnormality of person P from the electrocardiogram data acquired as described above. Specifically, the anomaly detection unit 12 detects the degree of abnormality, which indicates the degree of a specific disease such as myocardial infarction, based on changes in detected values and waveforms that can be detected from the electrocardiogram data. As an example, the anomaly detection unit 12 detects the degree of abnormality from changes in various detected values and waveforms, such as P waves, PQ intervals, QRS waves, and ST height, from the electrocardiogram data. Note that the anomaly detection unit 12 may use an evaluation model generated in advance by machine learning to input electrocardiogram data into the evaluation model and detect the degree of abnormality that is output. For example, the evaluation model is a model that has learned normal electrocardiograms and abnormal electrocardiograms of various diseases such as myocardial infarction, and is trained to output a higher degree of abnormality as the input electrocardiogram data indicates a diseased state.
[0022] Furthermore, the anomaly detection unit 12 calculates the accuracy of the degree of anomaly in the electrocardiogram data detected as described above, that is, the likelihood (probability) of the degree of anomaly. For example, the anomaly detection unit 12 calculates the likelihood using a likelihood function that is generated in advance based on statistics of the degree of anomaly. However, the anomaly detection unit 12 may calculate the value of the probability of the degree of anomaly using any method.
[0023] The determination unit 13 determines the urgency of the abnormality of person P based on the abnormality level detected from the electrocardiogram data as described above. Specifically, the determination unit 13 determines that there is an emergency when the abnormality level is equal to or greater than a preset threshold, and determines that there is no emergency when the abnormality level is less than the preset threshold. At this time, the determination unit 13 may further determine the urgency of person P's abnormality by taking into account vital data such as body temperature, blood pressure, and oxygen saturation of person P acquired as described above, recorded data such as data recorded in an electronic medical record, likelihood, and the like. As an example, even if it is possible to determine that there is an emergency based on the abnormality level as described above, if the abnormality level does not significantly exceed the threshold and the situation is not such that an abnormality can be determined based on the vital data or recorded data, it ultimately determines that there is no emergency. As another example, even if it is possible to determine that there is an emergency based on the abnormality level as described above, it ultimately determines that there is no emergency if it is determined that an abnormality is unlikely to occur taking into account the person's age and body shape, or if the likelihood is lower than a preset standard. This determination is made using a learning model or a determination formula that has been generated in advance through learning using the abnormality level, vital data, recorded data, and likelihood.
[0024] However, the determination unit 13 is not limited to determining the degree of urgency of the abnormality of person P as "urgent" or "not urgent" as described above, and may determine the degree of urgency in multiple stages. For example, the determination unit 13 may determine the degree of urgency in five stages based on the abnormality level, vital data, recorded data, and likelihood values using a model or a determination formula.
[0025] The selection unit 14 selects response data from pre-prepared response data based on the degree of urgency determined as described above. Here, the response data includes data to be notified to person P, which indicates the response to be taken by person P, and data to be notified to a third party such as a medical institution, which indicates the response to be taken by the third party, as described below, and these data are prepared and stored in the response data storage unit 17. For example, the response data to be notified to person P include "contact an ambulance," "contact your family doctor," and "monitor the situation," while the response data to be notified to a third party include "contact a specialist," "obtain a 12-lead electrocardiogram," and "monitor the situation."
[0026] The selection unit 14 then selects one or more pieces of correspondence data from the correspondence data described above based on the determined degree of urgency. At this time, the selection unit 14 may also select the correspondence data based on the abnormality level value, vital sign data, recorded data, likelihood, etc. For example, if there is no urgency, the selection unit 14 selects "Watch and see" as correspondence data to be notified to the person P. On the other hand, if there is an urgency, the selection unit 14 selects "Contact a family doctor" as correspondence data to be notified to the person P, or "Obtain a 12-lead electrocardiogram" as correspondence data to be notified to a third party. As another example, if there is an urgency and the degree of abnormality is high or there is a history of heart disease in the recorded data, the selection unit 14 selects "Contact an ambulance" as correspondence data to be notified to the person P and "Contact a specialist" as correspondence data to be notified to a third party.
[0027] When the above-mentioned determination unit 13 determines the urgency of the abnormality of person P in multiple stages, the selection unit 14 may select one or more of the above-mentioned correspondence data according to the stage. Note that the above-mentioned correspondence data is an example, and correspondence data of other contents may be prepared so as to be selectable.
[0028] The notification unit 15 provides notification based on the content of the correspondence data selected by the selection unit 14 as described above. For example, when correspondence data to be notified to person P is selected, the notification unit 15 displays one of "Contact an ambulance," "Contact your doctor," or "Monitor the condition" on the display screen of the wearable device, which is the user terminal 10. At this time, the notification unit 15 may output the information by voice from the wearable device, or may display the information on the display screen of a portable information processing terminal connected to the wearable device via short-range wireless communication. Furthermore, when correspondence data to be notified to a third-party medical institution is selected, the notification unit 15 transmits one of the information "Contact a specialist," "Obtain a 12-lead electrocardiogram," or "Monitor the condition" to the pre-registered address of the medical institution device 30.
[0029] [Operation] Next, the operation of the above-mentioned user terminal 10 will be described mainly with reference to the flowchart of FIG.
[0030] The user terminal 10 acquires electrocardiogram data measured by an electrocardiograph equipped in the user terminal 10 (step S1). Then, the user terminal 10 detects the degree of abnormality of the person P from the acquired electrocardiogram data (step S2). For example, the user terminal 10 may detect the degree of abnormality, which indicates the degree of a specific disease such as myocardial infarction, based on changes in detected values or waveforms that can be detected from the electrocardiogram data, or may perform the detection using an evaluation model. Note that the acquisition of electrocardiogram data and the detection of the degree of abnormality described above are always performed at regular time intervals.
[0031] Next, the user terminal 10 determines the degree of urgency based on the detected degree of abnormality (step S3). For example, the user terminal 10 determines that there is an emergency if the degree of abnormality is equal to or greater than a preset threshold, and determines that there is no emergency if the degree of abnormality is less than the preset threshold. At this time, the user terminal 10 may determine the degree of urgency using vital data acquired from the electronic medical record device 20 or acquired by the user terminal 10 itself, in addition to the degree of abnormality.
[0032] Next, the user terminal 10 selects response data from pre-prepared response data based on the determined level of urgency (step S4). For example, the response data includes data to be notified to the person P, which indicates the response to be taken by the person P, and data to be notified to a third party, such as a medical institution, which indicates the response to be taken by the third party. For example, when it is determined that there is an emergency, the user terminal 10 may select the response data to be notified to the person P as "contact your family doctor" or the response data to be notified to the third party as "obtain a 12-lead electrocardiogram." In this case, the user terminal 10 may select the response data based on the abnormality level, vital signs, recorded data, likelihood, and the like, in addition to the level of urgency. For example, when there is an emergency and the abnormality level is high or the recorded data contains a history of heart disease, the user terminal 10 may select the response data to be notified to the person P as "contact an ambulance" and the response data to be notified to the third party as "contact a specialist."
[0033] Thereafter, the user terminal 10 issues a notification based on the content of the selected response data (step S5). For example, the user terminal 10 displays a response such as "Contact an emergency service" on the display screen of the wearable device that is the user terminal 10, or displays a response such as "Obtain a 12-lead electrocardiogram" for the address of the medical institution device 30 that has been registered in advance.
[0034] As described above, according to this embodiment, the degree of urgency is determined from the degree of abnormality detected from the electrocardiogram data of person P, and based on the degree of urgency, it is selected whether person P should take action himself or a third party, and a notification is sent to the person who will take action. In this way, an appropriate notification is sent according to person P's condition.
[0035] <Embodiment 2> Next, a second embodiment of the present invention will be described with reference to Fig. 4 to Fig. 5. Fig. 4 to Fig. 5 are diagrams for explaining the configuration of a notification system in the second embodiment.
[0036] The notification system of this embodiment has the same configuration as that shown in Figures 1 and 2 described in the above-mentioned embodiment 1. However, the notification system of this embodiment further comprises the following configuration in addition to the configuration of embodiment 1. Below, we will mainly explain the configuration that differs from embodiment 1.
[0037] 4, in the communication system of this embodiment, a locking device installed on a door such as the entrance of a residence H of a person P is connected to a network N and configured to be able to unlock it remotely. Also, an emergency reception device 40, which is an information processing device of an emergency service, and a security company device 50, which is an information processing device of a security company, are connected to the network N and configured to be able to receive notifications from a user terminal 10.
[0038] 5, the user terminal 10 further includes a dialogue unit 19 that is realized by the arithmetic device executing a program. The user terminal 10 also includes a dialogue data storage unit 18 formed in the storage device. Each component will be described in detail below.
[0039] When the degree of urgency determined by the determination unit 13 is lower than a preset standard, for example, when it is determined that there is no urgency, the dialogue unit 19 outputs medical interview data representing the contents of the medical interview to the person P. As an example, when the abnormality level is high, equal to or higher than a threshold, but it is determined that there is no urgency in consideration of vital data, recorded data, likelihood, etc., the dialogue unit 19 outputs medical interview data selected from the medical interview data stored in the dialogue data storage unit 18 by displaying it on the display unit of the user terminal 10 or outputting it by voice. The medical interview data stored in the dialogue data storage unit 18 is, for example, content inquiring about the condition of the person P, such as "How is your condition?" or "Are you short of breath?", but any medical interview content may be used. Note that the dialogue unit 19 may change the selected medical interview content depending on, for example, the contents of the vital data or electrocardiogram data acquired as described above. As an example, when the initial value to be selected is set to "How is your condition?", the dialogue unit 19 may change the question to "Are you having shortness of breath?" if the heart rate in the vital data is high or an arrhythmia is detected.
[0040] Then, after outputting the medical interview data to the person P as described above, the dialogue unit 19 acquires answer data representing an answer to the medical interview data input from the person P to the user terminal 10. For example, the dialogue unit 19 acquires answer data input by the person P through voice input, keyboard input, or the like. As an example, when the dialogue unit 19 acquires answer data such as "shortness of breath" from the person P, it notifies the determination unit 13 of the answer data. In response to this, the determination unit 13 re-determines the degree of urgency taking the answer data into consideration. For example, when the determination unit 13 acquires answer data that is determined to have a preset degree of urgency that is high, it determines that the degree of urgency is higher than the previous time.
[0041] Furthermore, when the degree of urgency determined by the determination unit 13 is higher than a preset standard, for example, when it is determined that there is an emergency, the dialogue unit 19 outputs information requesting consent to providing the body data of the person P to a third party by displaying it on the display unit of the user terminal 10 or emitting a voice. After outputting the consent inquiry to the person P as described above, the dialogue unit 19 acquires the presence or absence of consent input from the person P to the user terminal 10 and notifies the notification unit 15 of the presence or absence of consent. For example, the dialogue unit 19 acquires the presence or absence of consent input by the person P through voice input, keyboard input, or the like, and notifies the notification unit 15.
[0042] When the notification unit 15 obtains consent from the person P to provide the physical data to a third party as described above, the notification unit 15 notifies the medical institution device 30 of the physical data of the person P, such as electrocardiogram data and vital data, acquired by the user terminal 10. At this time, when the notification unit 15 notifies the address of the medical institution device 30 registered in advance according to the selected corresponding data as described above, the notification unit 15 notifies the physical data of the person P together with the contents of the corresponding data.
[0043] Furthermore, the response data storage unit 17 in this embodiment may include, as response data to be notified to a third party, response data of content to be notified to the emergency reception device 40 of the emergency facility and response data to be notified to the security company device 50 of the security company. As a result, the selection unit 14 may select the response data to be notified to the emergency facility or the security company as described above based on the determined urgency level, the abnormality level value, vital sign data, recorded data, likelihood, etc. Then, the notification unit 15 may also notify the emergency reception device 40 and the security company device 50 according to the response data.
[0044] Furthermore, in the present embodiment, when the degree of urgency determined by the determination unit 13 is higher than a preset standard, for example, when it is determined that there is an emergency, the notification unit 15 may transmit a command to remotely unlock the locking device of the residence H of person P via the network N. At this time, the notification unit 15 may acquire location information of the wearable device, which is the user terminal 10, and transmit a command to remotely unlock the person P when the person P is located in the residence H. This allows the locking device to be unlocked even if person P is unable to move in the residence H, and allows rescuers and the like to rescue the person P.
[0045] The processing functions and storage units of the user terminal 10 described in the first and second embodiments are not necessarily provided in the user terminal 10, but some of them may be provided in an information processing device such as a server connected to the user terminal 10 via a network. In other words, the information processing by the user terminal 10 described above is not limited to being performed entirely on the user terminal 10, but some of the processing may be performed on the server. For example, the user terminal 10 may transmit vital data such as an electrocardiogram acquired by the user data acquisition unit 11 to a server, and the server may perform abnormality detection by the abnormality detection unit 12, determination of the level of urgency by the determination unit 13, and selection of corresponding data by the selection unit 14. The selected corresponding data may then be transmitted from the server to the user terminal 10, and the user terminal 10 may display or notify the corresponding data by the notification unit 15.
[0046] <Embodiment 3> Next, a third embodiment of the present invention will be described with reference to Fig. 6 to Fig. 8. Fig. 6 to Fig. 7 are block diagrams showing the configuration of a notification device in the third embodiment, and Fig. 8 is a flowchart showing the operation of the notification device. Note that this embodiment shows an outline of the configuration of the notification device and notification method described in the above embodiments.
[0047] First, the hardware configuration of notification device 100 in this embodiment will be described with reference to Fig. 6. Notification 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
[0048] The notification device 100 can be equipped with the detection unit 121, determination unit 122, selection unit 123, and notification unit 124 shown in FIG. 7 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 detection unit 121, determination unit 122, selection unit 123, and notification unit 124 described above may be constructed using dedicated electronic circuits for realizing such means.
[0049] 6 shows an example of the hardware configuration of the information processing device that is the notification 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 only a part of the above-described configuration, such as not including the drive device 106.
[0050] The notification device 100 then executes the notification method shown in the flowchart of FIG. 8 using the functions of the detection unit 121, determination unit 122, selection unit 123, and notification unit 124, which are constructed by the program as described above.
[0051] As shown in FIG. 8, the notification device 100 Detect the degree of abnormality of a person from the electrocardiogram data of the person measured by the wearable device (step S101); Based on the abnormality level, the degree of urgency of the person's abnormality is determined (step S102). Selecting response data according to the degree of urgency from response data indicating the response to be notified to a preset person or a third party (step S103); A notification is made according to the selected corresponding data (step S104). The following process is executed.
[0052] With the above-described configuration, the present invention determines the degree of urgency from the degree of abnormality detected from the person's electrocardiogram data, and based on the degree of urgency, selects whether the person should take action themselves or a third party should take action, and notifies the person who should take action. In this way, an appropriate notification is given according to the person's condition.
[0053] 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.
[0054] 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 detection unit 121, determination unit 122, selection unit 123, and notification unit 124 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.
[0055] <Additional Notes> The above-described embodiments may be partially or entirely described as follows: The following provides an overview of the configurations of the notification method, notification device, and program of the present invention. However, the present invention is not limited to the following configurations. (Appendix 1) Detects the degree of abnormality in a person from their electrocardiogram data measured by a wearable device, determining the degree of urgency of the abnormality of the person based on the abnormality degree; selecting the response data according to the degree of urgency from among response data indicating the content of a response to be notified to the person or a third party that has been set in advance; performing a notification according to the selected corresponding data; Notification method. (Appendix 2) 10. The notification method of claim 1, comprising: selecting the response data according to the degree of urgency from the response data including the response data indicating the response by the person and the response data indicating the response by the third party; Notification method. (Appendix 3) 2. The notification method according to claim 1, further comprising: selecting the response data according to the degree of urgency from among the response data including the response data indicating that the person will contact a medical institution and the response data indicating that the third-party medical institution will measure the person's electrocardiogram; Notification method. (Appendix 4) 4. The notification method according to any one of Supplementary Notes 1 to 3, determining the degree of urgency of the abnormality of the person based on the abnormality level and recorded data related to the person's body; Notification method. (Appendix 5) 5. The notification method according to any one of Supplementary Note 1 to 4, determining the urgency of the abnormality of the person based on the physical condition of the person acquired by the wearable device; Notification method. (Appendix 6) 6. The notification method according to any one of Supplementary Notes 1 to 5, Calculating the likelihood of the abnormality detected from the electrocardiogram data; determining the degree of urgency of the abnormality of the person based on the likelihood; Notification method. (Appendix 7) 7. The notification method according to any one of Supplementary Notes 1 to 6, If the degree of urgency is lower than a preset standard, outputting medical interview data representing the contents of a medical interview to the person, and acquiring answer data representing an answer to the medical interview data input by the person; determining the degree of urgency based on the response data; Notification method. (Appendix 8) 10. The notification method according to claim 7, comprising: outputting the medical interview data with the contents of the medical interview changed based on the physical condition of the person acquired by the wearable device; Notification method. (Appendix 9) 9. The notification method according to any one of Supplementary Notes 1 to 8, If the degree of urgency is higher than a preset standard, accepting consent from the person to provide physical data about the person to a third party; If the consent is received, notifying a third party of the person's physical data; Notification method. (Appendix 10) 10. The notification method according to any one of Supplementary Notes 1 to 9, When the degree of urgency is higher than a preset standard, a process of unlocking the location where the person is located is performed. Notification method. (Appendix 11) a detection unit that detects the degree of abnormality of a person from electrocardiogram data of the person measured by a wearable device; a determination unit that determines the degree of urgency of the abnormality of the person based on the abnormality degree; a selection unit that selects, from among predetermined response data indicating response content to be notified to the person or a third party, the response data in accordance with the degree of urgency; a notification unit that issues a notification according to the selected corresponding data; A notification device comprising: (Appendix 12) 12. The notification device of claim 11, the selection unit selects the response data from among the response data including the response data representing the response by the person and the response data representing the response by the third party, according to the degree of urgency; Notification device. (Appendix 13) 13. The notification device of claim 12, the selection unit selects the response data according to the degree of urgency from the response data including the response data indicating a response that the person will contact a medical institution and the response data indicating a response that the third-party medical institution will measure an electrocardiogram of the person. Notification device. (Appendix 14) 14. A notification device according to any one of Supplementary Notes 11 to 13, the determination unit determines the degree of urgency of the abnormality of the person based on the abnormality degree and recorded data related to the person's body. Notification device. (Appendix 15) 15. A notification device according to any one of Supplementary Notes 11 to 14, the determination unit determines the urgency of the abnormality of the person based on the physical condition of the person acquired by the wearable device. Notification device. (Appendix 16) 16. A notification device according to any one of Supplementary Notes 11 to 15, the detection unit calculates a likelihood of an abnormality detected from the electrocardiogram data; the determination unit determines the degree of urgency of the abnormality of the person based on the likelihood. Notification device. (Appendix 17) 17. A notification device according to any one of Supplementary Notes 11 to 16, a dialogue unit that outputs medical interview data representing a medical interview content to the person when the degree of urgency is lower than a preset standard, and acquires answer data representing an answer to the medical interview data input by the person, the determination unit determines the degree of urgency based on the response data. Notification device. (Appendix 18) 18. The notification device of claim 17, the dialogue unit outputs the medical interview data with the content of the medical interview changed based on the physical condition of the person acquired by the wearable device. Notification device. (Appendix 19) 19. A notification device according to any one of Supplementary Notes 11 to 18, a dialogue unit that receives consent from the person to provide data relating to the person's body to a third party when the degree of urgency is higher than a preset standard; When the consent is received, the notification unit notifies a third party of the body data of the person. Notification device. (Appendix 20) 20. A notification device according to any one of Supplementary Notes 11 to 19, the notification unit performs a process of unlocking the location where the person is located when the degree of urgency is higher than a preset standard. Notification device. (Appendix 21) Detects the degree of abnormality in a person from their electrocardiogram data measured by a wearable device, determining the degree of urgency of the abnormality of the person based on the abnormality degree; selecting the response data according to the degree of urgency from among response data indicating the content of a response to be notified to the person or a third party that has been set in advance; performing a notification according to the selected corresponding data; A computer-readable storage medium that stores a program for causing a computer to execute a process. [Explanation of symbols]
[0056] 10 User terminal 11 User data acquisition section 12 Abnormality detection unit 13 Judgment section 14 Selection section 15 Notification Department 16 User data storage unit 17 Corresponding data storage unit 18 Dialogue data storage unit 19 Dialogue Section 20 Electronic medical record device 30 Medical institution equipment 40 Emergency reception device 50 Security company equipment P person H Residence 100 Notification 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 Detection unit 122 Judgment section 123 Selection Section 124 Notification Department
Claims
1. An information processing device, The system detects the degree of abnormality in a person from changes in the detected values that can be detected from the person's electrocardiogram data measured by a wearable device, determining the degree of urgency of the abnormality of the person based on whether the abnormality degree is equal to or greater than a preset threshold; If the degree of urgency is lower than a preset standard, outputting medical interview data representing the contents of a medical interview to the person, and acquiring answer data representing an answer to the medical interview data input by the person; Further determining the degree of urgency based on the response data; selecting the response data according to the degree of urgency from among response data indicating the content of a response to be notified to the person or a third party that has been set in advance; performing a notification according to the selected corresponding data; Notification method.
2. 2. The notification method according to claim 1, The information processing device, selecting the response data according to the degree of urgency from the response data including the response data indicating the response by the person and the response data indicating the response by the third party; Notification method.
3. The notification method according to claim 2, The information processing device, selecting the response data according to the degree of urgency from among the response data including the response data indicating that the person will contact a medical institution and the response data indicating that the third-party medical institution will measure the person's electrocardiogram; Notification method.
4. 4. The notification method according to claim 1, further comprising: The information processing device, determining the degree of urgency of the abnormality of the person based on the abnormality level and recorded data related to the person's body; Notification method.
5. 5. The notification method according to claim 1, further comprising: The information processing device, determining the urgency of the abnormality of the person based on the physical condition of the person acquired by the wearable device; Notification method.
6. 6. A notification method according to claim 1, further comprising: The information processing device, Calculating the likelihood of the abnormality detected from the electrocardiogram data; determining the degree of urgency of the abnormality of the person based on the likelihood; Notification method.
7. 2. The notification method according to claim 1, The information processing device, outputting the medical interview data with the contents of the medical interview changed based on the physical condition of the person acquired by the wearable device; Notification method.
8. 8. A notification method according to any one of claims 1 to 7, The information processing device, If the degree of urgency is higher than a preset standard, accepting consent from the person to provide physical data about the person to a third party; If the consent is received, notifying a third party of the person's physical data; Notification method.
9. 9. A notification method according to any one of claims 1 to 8, comprising: The information processing device, When the degree of urgency is higher than a preset standard, a process of unlocking the location where the person is located is performed. Notification method.
10. a detection unit that detects the degree of abnormality of a person from a change in a detected value that can be detected from the person's electrocardiogram data measured by a wearable device; a determination unit that determines the degree of urgency of the abnormality of the person based on whether the abnormality degree is equal to or greater than a preset threshold; a selection unit that selects, from among predetermined response data indicating response content to be notified to the person or a third party, the response data in accordance with the degree of urgency; a notification unit that issues a notification according to the selected corresponding data; a dialogue unit that outputs medical interview data representing the contents of a medical interview to the person when the degree of urgency is lower than a predetermined standard, and acquires answer data representing an answer to the medical interview data input by the person; Equipped with the determination unit determines the degree of urgency based on the response data. Notification device.
11. The system detects the degree of abnormality in a person from changes in the detected values that can be detected from the person's electrocardiogram data measured by a wearable device, determining the degree of urgency of the abnormality of the person based on whether the abnormality degree is equal to or greater than a preset threshold; If the degree of urgency is lower than a preset standard, outputting medical interview data representing the contents of a medical interview to the person, and acquiring answer data representing an answer to the medical interview data input by the person; Further determining the degree of urgency based on the response data; selecting the response data according to the degree of urgency from among response data indicating the content of a response to be notified to the person or a third party that has been set in advance; performing a notification according to the selected corresponding data; A program that causes a computer to execute a process.
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