Life-saving and rescue support system, information processing method, and application program

Abstract

To provide a lifesaving rescue support system, information processing method, and application program which is useful in a sudden stroke and an overturn or the like.SOLUTION: A lifesaving rescue support system 1 includes: an abnormality determination section 44 for determining a physical abnormality of a user based on vital signs such as body temperature, pulse, and heart rate of the user from a sensor section 25 of a wearable terminal 2 worn by the user; a seizure determination section 45 for determining seizure contents of the user based on pre-registered health-related information such as an underlying disease, medication information, and age of the user and a determination result of the abnormality determination section; a screen generation section 47 for generating a seizure card screen which displays the health-related information in addition to a lifesaving method of the user based on the seizure contents. A mobile terminal 3 of the user connected to the wearable terminal by association receives the seizure card screen, and then displays the screen in a display section 33 thereby to notify of warning.SELECTED DRAWING: Figure 1

Description

Technical Field

[0001] The present invention relates to a life-saving rescue support system, an information processing method, and an application program useful in cases such as sudden seizures, sudden deterioration of the condition, or falls.

Background Art

[0002] In Patent Document 1 below, when detecting outside the range of a person's normal heartbeat using a heartbeat monitor, a system is disclosed in which the camera, microphone, GPS detector, and accelerometer of a mobile device are driven to monitor movement. According to this, by monitoring the heartbeat and movement, it can be useful for notifying when a medical or safety emergency has occurred in children, the elderly, etc. Further, in Patent Document 2 below, when the heart rate becomes higher than a predetermined value, it is determined that the physical condition has deteriorated, and the method of dealing with life-saving measures and assistance, the necessity of requesting an ambulance, etc. are displayed from a touch panel and a speaker.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Patent Document 2

Summary of the Invention

Problems to be Solved by the Invention

[0004] Sudden seizures and falls can occur unpredictably; for example, a heart attack can happen even while sleeping. Furthermore, the symptoms during a seizure vary from person to person depending on their underlying medical conditions (pre-existing conditions), such as whether it's caused by asthma, diabetes, or anaphylactic shock, and naturally, the appropriate response differs accordingly. However, for the general public who are not medical professionals, not knowing how to respond when someone is suffering from a seizure nearby can lead to life-saving losses. Also, for the average person, it can be difficult to decide whether to call an ambulance at all when faced with someone who has collapsed or is unwell. Moreover, even after calling an ambulance, they may not know what to do while waiting for it to arrive. People with underlying medical conditions may carry medication for seizures, and while life-saving efforts can be a matter of urgency in some cases, proper medication may eliminate the need for an ambulance. Additionally, if someone is confined to home care due to an infectious disease, a sudden deterioration in their condition may go unnoticed, leading to delayed treatment.

[0005] This invention has been made in view of the above circumstances, and aims to provide a life-saving and rescue support system, an information processing method, and an application program that are useful in situations such as sudden seizures, sudden deterioration of condition, or falls. [Means for solving the problem]

[0006] To achieve the above objective, the life-saving and rescue support system of the present invention comprises: an abnormality detection unit that determines the user's physical abnormality based on vital signs such as body temperature, pulse, and heart rate from the sensor part of a wearable terminal worn by the user; a seizure detection unit that determines the content of the user's seizure based on health-related information such as the user's underlying diseases, medication information, and age, which have been registered in advance, and the determination result of the abnormality detection unit; and a screen generation unit that generates a seizure card screen that displays the user's health-related information in addition to a life-saving method based on the abnormality detection or the content of the seizure, and the user's mobile terminal, which is connected in association with the wearable terminal, displays the seizure card screen on its display unit and notifies a warning. Furthermore, if the abnormality detection unit makes a false determination, it corrects the erroneous vital sign data to the normal range. do.

[0007] Furthermore, the information processing method according to the present invention involves a computer determining a physical abnormality of the user based on vital signs such as body temperature, pulse, and heart rate from the sensor unit of a wearable terminal worn by the user, determining the content of the user's seizure based on the determination and health-related information such as the user's pre-registered illnesses, medication information, and age, and transmitting the content of the seizure to the user's mobile terminal, which is connected in association with the wearable terminal.

[0008] Furthermore, the application program according to the present invention determines the user's physical abnormality based on vital signs such as body temperature, pulse, and heart rate from the sensor unit of a wearable terminal worn by the user, determines the content of the user's seizure based on the determination and health-related information such as the user's pre-registered illnesses, medication information, and age, and associates the content of the seizure with the wearable terminal and sends it to the user's mobile terminal connected to it. send Execute the process. [Effects of the Invention]

[0009] The life-saving and rescue support system, information processing method, and application program of the present invention can be useful in situations such as sudden seizures or falls. [Brief explanation of the drawing]

[0010] [Figure 1] This is an example of a system diagram for a life-saving and rescue system according to one embodiment of the present invention. [Figure 2] (a) is an example of a block diagram of a wearable terminal in the same embodiment, and (b) is an example of a block diagram of a mobile terminal in the same embodiment. [Figure 3] This is an example of a block diagram of the server in the same embodiment. [Figure 4] (a) is a schematic flowchart showing an example of the fall detection process, and (b) is a schematic flowchart showing an example of the abnormality detection process. [Figure 5](a) is a schematic flowchart showing an example of seizure detection processing, and (b) is a diagram schematically showing an example of a user health information database stored in the server's user information storage unit. [Figure 6] This is a schematic flowchart showing an example of the sampling correction process in the life-saving and rescue support system of the same embodiment. [Figure 7] This is a schematic flowchart illustrating an example of a series of processes in the life-saving and rescue support system of the same embodiment. [Figure 8] (a) and (b) are schematic diagrams showing examples of system screens displayed on the display unit of a mobile terminal in the same embodiment. [Figure 9] (a) to (c) are schematic diagrams showing examples of system screens displayed on the display unit of a mobile terminal in the same embodiment. [Figure 10] (a) and (b) are schematic diagrams showing examples of system screens displayed on the display unit of a mobile terminal in the same embodiment. [Figure 11] (a) and (b) are schematic diagrams showing examples of system screens displayed on the display unit of a mobile terminal in the same embodiment. [Modes for carrying out the invention]

[0011] Embodiments of the present invention will be described below with reference to the accompanying drawings. The life-saving and rescue support system 1 in this embodiment includes an abnormality detection unit 44 that determines the user's physical abnormality based on vital signs such as body temperature, pulse, and heart rate from a sensor unit 25 of a wearable terminal 2 worn by the user; a seizure detection unit 45 that determines the content of the user's seizure based on health-related information such as the user's underlying diseases, medication information, and age, which have been registered in advance, and the determination result of the abnormality detection unit; and a screen generation unit 47 that generates a seizure card screen that displays health-related information in addition to the user's life-saving method based on the abnormality detection or the content of the seizure. The user's mobile terminal 3, which is connected in association with the user's wearable terminal 2, is configured to display the seizure card screen on its display unit 33 and notify a warning that it is an "emergency." Further details are provided below.

[0012] <Life-saving and rescue support system> In this embodiment, unless otherwise specified, "user" refers to a person who uses the application in this embodiment and a person who receives the services of the life-saving support system 1. The services of the life-saving support system 1 can be used by healthy people with no prior medical history when they contract a cold or infectious disease, so a healthy person may be the "user" under normal circumstances, but it is assumed that the main "users" are people with some kind of underlying medical condition. In this embodiment, complex processing to determine abnormalities from sensor measurement results and sampling data is performed by the abnormality determination unit 44 of the server 4, and simple processing to determine abnormalities based on whether it is above or below a threshold is performed by the simple abnormality determination unit 37 of the mobile terminal 3, but this division of labor is not limited to the following configuration. Depending on the processing capacity and data capacity of the mobile terminal 3, the mobile terminal 3 may also perform abnormality determination including calculation processing, and the final determination may be made by combining the determination results from both. Furthermore, in this embodiment, various determination processes that launch the application to warn of an "emergency" on the mobile terminal 3 are described, but the conditions for the determination process are not limited to the following.

[0013] As shown in FIG. 1, the life-saving rescue support system 1 of this embodiment includes a wearable terminal 2 worn by a user, a mobile terminal 3 owned and carried by the user, and a server 4 connected to these via a communication network 5, and is configured to be able to communicate with each other in a secure environment as a system. Examples of the communication network 5 include telephone networks such as a public switched telephone network, a mobile phone communication line network, a next-generation telephone network, and a dedicated line telephone network, and packet-based networks such as the Internet. The communication standard is not particularly limited and includes any network that provides data communication via a wireless signal. Examples of the arbitrary network include a wireless local area network (WLAN) that uses WiFi / WiMax communication, etc.

[0014] <Wearable terminal> The wearable terminal 2 is not particularly limited as long as it can detect vital signs such as the user's body temperature, pulse, heart rate, blood oxygen saturation, blood pressure, respiratory rate, and blood glucose level when worn by the user. For example, the wearable terminal 2 may be worn on the wrist like a watch, on the finger like a ring, or on the ear like earphones. The wearable terminal 2 may also be an electronic patch type that measures by attaching a sensor sticker to the skin, such as the neck or heart. Furthermore, the wearable terminal 2 may be a dedicated terminal for the life-saving support system 1 or a general-purpose terminal. In this embodiment, we will describe the case where the application for the life-saving support system 1 is installed on the wearable terminal 2. As shown in Figure 2(a), the wearable terminal 2 includes a control unit 20, a transmitting / receiving unit 21, a storage unit 22, a display unit 23, an operation unit 24, and a sensor unit 25. The control unit 20 consists of, for example, a microcomputer and is equipped with a CPU (=Central Processing Unit) that performs calculations and processing on acquired data according to the computer program stored in the memory unit 22, and executes various processes. The transmitting / receiving unit 21 is equipped with a communication module such as BLE (=Bluetooth Low Energy) or a mobile phone communication network for short-range wireless communication with the mobile terminal 3, and also performs transmission and reception of vital sign data measured by biosensors and acceleration sensor data with the server 4. The memory unit 22 consists of memory such as RAM (=Random Access Memory) and ROM (=Read Only Memory) and stores various computer programs executed by the control unit 20 and measurement results from the sensor unit 25. The display unit 23 consists of a liquid crystal display or an organic EL (=Electro Luminescence) display, and displays various information based on control by the control unit 20. The operation unit 24 is a user interface that accepts operations from the user and includes touch operation of the display unit 23, button operation, and voice operation.The sensor unit 25 includes an acceleration sensor used to detect falls and other incidents involving the user, as well as to determine whether the user is in a normal or active state; various biosensors for measuring vital signs such as the user's body temperature, pulse rate (number of pulses detected from arteries other than those near the heart), heart rate (number of heartbeats), blood oxygen saturation (blood oxygen concentration), blood pressure, respiratory rate, and blood glucose level; and a location information sensor for detecting the user's current location. The location information sensor is not particularly limited, but for example, it may measure the current location based on radio waves received from GPS (Global Positioning System) satellites. The configuration of the sensor unit 25 is not limited to the above, and may include a time correction sensor, a barometric pressure sensor, an ambient temperature sensor, an impact detection sensor, etc., and may be configured to perform more advanced and accurate detection by combining various sensors. Specific examples will be described later. The wearable terminal 2 is not shown. However, it goes without saying that the device is equipped with a battery to supply power, a charging unit, a clock unit, a compass unit, a speaker, a microphone, a vibration function, etc. The wearable terminal 2 may also have a power-saving mode and a normal mode. In this case, when the application startup conditions of the mobile terminal 3 are met, the power-saving mode may be deactivated, and the device may measure measurable vital signs and store them in the memory unit 22. With this configuration, it is possible to grasp the vital signs when an emergency is determined, which can be used to inform subsequent treatment.

[0015] There are various vital signs detected by the sensors used in the wearable terminal 2. There are various options for what numerical values to use as triggers for abnormal determination and the like. For example, the following can be cited. Read the heart rate (beats per minute) and respiratory rate (breaths per minute), set upper and lower threshold values, and trigger when outside the threshold values. Read the value of blood oxygen saturation (%), and trigger when it falls below the threshold value. Blood pressure values (mmHg) have systolic blood pressure and diastolic blood pressure. It is known that the systolic blood pressure of a person who has fallen tends to rise or fall rapidly compared to the normal value. Therefore, when the systolic blood pressure falls below the threshold value, or when the decrease in systolic blood pressure exceeds a predetermined value, it is triggered. Also, it may be triggered when the diastolic blood pressure suddenly exceeds the threshold value compared to normal. Read the surface temperature of the skin and add it to the conditions for abnormal determination.

[0016] <Mobile terminal> The mobile terminal 3 is not particularly limited as long as it is a computer carried by the user. It may be a smartphone or a tablet terminal. The key is to have a display unit 33 and be connected (paired) in association with the wearable terminal 2 via the communication network 5, and it is sufficient if it can transmit and receive data, signals, etc. with the wearable terminal 2 and the server 4. For example, the pairing between the wearable terminal 2 and the mobile terminal 3 may be directly paired via Bluetooth or the like, and the data of the wearable terminal 2 may be transmitted and received with the server 4 via the communication network 5 via the mobile terminal 3. The mobile terminal 3 may be a dedicated terminal for the lifesaving rescue support system 1, but in this embodiment, the mobile terminal 3 is a smartphone, and the case where an application of the lifesaving rescue support system 1 is installed in this smartphone will be described. Furthermore, the mobile terminal 3 has a function of forcibly starting the application when it is determined as an "emergency" by the lifesaving rescue support system 1.

[0017] As shown in Figure 2(b), the mobile terminal 3 comprises a control unit 30, a transmitting / receiving unit 31, a storage unit 32, a display unit 33, an operation unit 34, a sensor unit 35, a notification unit 36, and a simple abnormality detection unit 37. The control unit 30 is, for example, a microcomputer and is equipped with a CPU that performs calculations and processing on acquired data according to the computer program stored in the storage unit 32, and executes various processes. The transmitting / receiving unit 31 is equipped with a communication module that performs wireless communication such as Bluetooth and NFC (Near Field Communication) between the wearable terminal 2 and other terminals, and is also equipped with a communication module that performs sending and receiving of data, files, etc. with the server 4. The storage unit 32 is composed of memory such as RAM and ROM and an HDD, and stores various computer programs executed by the control unit 30 and measurement results from the sensor unit 35. The display unit 33 is composed of a liquid crystal display or an organic EL display, and displays various information and the seizure card screen, seizure confirmation card screen, etc., which will be described later, based on the control of the control unit 30. The operation unit 34 is a user interface that accepts user operations, and consists of, for example, touch switches provided on the thin display that constitutes the display unit 33, and execution buttons 34a as shown in Figure 8, etc., and outputs signals corresponding to the operation. This includes voice operation using the microphone of the mobile terminal 3. The sensor unit 35 is equipped with an acceleration sensor used to detect falls by the user, as well as to determine whether the user is in a normal state or in an exercise state, and a location information sensor consisting of a GPS, etc., similar to the wearable terminal 2 described above. The configuration of the sensor unit 35 is not limited to the above, and may include a time correction sensor, a barometric pressure sensor, an ambient temperature sensor, an impact detection sensor, etc., and may be configured to perform more advanced and accurate detection by combining various sensors, similar to the wearable terminal 2 described above. The notification unit 36 ​​consists of a speaker, etc., and notifies those around the user of the emergency when the user determines that an emergency has occurred. The notification unit 36 ​​outputs voice messages, alarm sounds, melodies, etc., according to the control signal. Needless to say, this mobile device 3 also includes a battery to supply power, a charging unit, a clock unit, a compass unit, a microphone, a vibration function, and so on.The simplified abnormality detection unit 37 immediately executes a process to determine an emergency if the user's vital signs, such as body temperature, pulse, heart rate, blood oxygen saturation, blood pressure, respiratory rate, and blood glucose level, show clearly abnormal values. For example, this could be a body temperature of 39°C or higher, a heart rate of 50 beats / min or less or 100 beats / min or more, a blood oxygen saturation of 89% or less, or a blood pressure that is unmeasurable or 180 or higher. When vital signs that can be considered to be clearly physical abnormalities are detected in this way, the system determines it to be an abnormality and issues an "emergency" warning, then proceeds to launch the application on the mobile terminal 3. The processing after the application is launched will be described later.

[0018] <server> Server 4 is composed of an information processing device such as a computer and is managed by the administrator terminal (not shown) of the service provider of the life-saving and rescue support system 1. Server 4 may be a single unit or may consist of multiple units such as an application server and a database server, and can be dedicated or general-purpose. Security measures such as a firewall are taken between Server 4 and the communication network 5. As shown in Figure 3, Server 4 includes at least a control unit 40, a transmitting / receiving unit 41, a storage unit 42, a fall detection unit 43, an abnormality detection unit 44, a seizure detection unit 45, a sampling unit 46, a screen generation unit 47, and a display setting unit 48.

[0019] The control unit 40 is equipped with a CPU, and various processes are executed by the CPU executing various programs stored in the memory unit 42. The transmitting / receiving unit 41 transmits and receives data, files, signals, etc. with the wearable terminal 2 and the mobile terminal 3. For example, the transmitting / receiving unit 41 receives measurement results measured by the sensor unit 25 of the wearable terminal 2 and transmits the judgment results of the abnormality judgment unit 44 and the seizure judgment unit 45 to the mobile terminal 3. The memory unit 42 stores various programs and data necessary for the operation of the server 4. Specifically, it stores various programs such as the operating system (OS), fall judgment program, abnormality judgment program, seizure judgment program, screen generation program, display setting program, and vital sign sampling program. The memory unit 42 also stores vital signs transmitted from the wearable terminal 2. The memory unit 42 also includes a user information storage unit 42a, which stores a user health information database D as shown in Figure 5(b).

[0020] The fall detection unit 43 makes a determination to estimate whether the user has fallen or lost consciousness. The method for processing the fall detection is not particularly limited as long as it can make a determination to estimate whether the user has fallen or lost consciousness, but for example, the fall detection unit 43 may determine that the user has fallen if the acceleration sensor of the wearable terminal 2 and the acceleration sensor of the mobile terminal 3 measure a rapid increase in acceleration at the same time, and the radio wave strength of the paired wearable terminal 2 and mobile terminal 3 is strong. Figure 4(a) shows an example of the fall detection process flow. In the fall detection process, if the acceleration measured by the acceleration sensor of the wearable terminal 2 is greater than a threshold (S100), the acceleration measured by the acceleration sensor of the mobile terminal 3 is greater than a threshold (S101), and the pairing radio wave strength is high (S102), it is estimated that the user has fallen. On the other hand, if the acceleration of the wearable device 2 is less than the threshold (S101), even if the acceleration of the mobile device 3 is greater than the threshold, it is considered highly likely that the mobile device 3 simply fell, regardless of whether it was intentional or accidental, and therefore it is not determined that the user has fallen. Also, even if the acceleration of the wearable device 2 is greater than the threshold (S101), if the acceleration of the mobile device 3 is less than the threshold (S101), it is presumed that the user is exercising while wearing the wearable device 2, and therefore it is not determined that the user has fallen. With the above configuration, the user's fall is detected based on the detection results of the acceleration sensor of the wearable device 2 and the acceleration sensor of the mobile device 3, thus improving the accuracy of user fall detection. Furthermore, if the acceleration of wearable device 2 exceeds a threshold, the possibility of a fall cannot be ruled out, so it may be advisable to consider other parameters when determining whether a fall has occurred.

[0021] The abnormality detection unit 44 makes a determination to estimate that a physical abnormality is occurring in the user. The method of abnormality detection is not particularly limited as long as it can make a determination to estimate that a physical abnormality is occurring in the user. For example, the abnormality detection process may be performed based on the numerical range of vital signs in each state (normal state and exercise state) calculated by the sampling unit 46. Figure 4(b) shows a flow of an example of abnormality detection processing. If the acceleration measured by the acceleration sensor of the wearable terminal 2 is greater than the threshold (S200), the numerical range of the exercise state calculated by the sampling unit 46 is adopted (S201), and it is determined whether the vital signs (here, heart rate, pulse rate, respiratory rate, blood oxygen saturation, blood glucose level, etc.) are within that numerical range. If they are within the numerical range, it is determined to be "normal", and if they are outside the numerical range, it is determined to be "abnormal" (S202). On the other hand, if the acceleration measured by the wearable terminal 2's acceleration sensor is less than the threshold (S200), the normal range calculated by the sampling unit 46 is adopted (S203), and it is determined whether the vital signs (as described above) are within that range. If they are within the range, it is determined to be "normal," and if they are outside the range, it is determined to be "abnormal" (S204). Specifically, for example, if a user whose normal blood oxygen saturation range is 96% to 100% and whose exercise range is 92% to 98% measures a blood oxygen saturation of 93%, and the acceleration of the wearable terminal 2 is greater than the threshold, the exercise range is adopted, and if the acceleration of the wearable terminal 2 is less than the threshold, the normal range is adopted to determine if it is abnormal. Therefore, in this user's case, if it is in a normal state, it is determined to be "abnormal," and if it is in an exercise state, it is determined to be "not abnormal." On the other hand, if this user's blood oxygen saturation is 89%, it is determined to be abnormal regardless of the measurement result of the acceleration of the wearable terminal 2. In this case, abnormality detection may be performed not only by the abnormality detection unit 44 but also by the simplified abnormality detection unit 37 of the mobile terminal 3. Furthermore, in order to improve the accuracy of the abnormality detection process, for example, in the case of a person whose heart rate takes time to return to a normal state immediately after exercise, judging based on the vital sensor value at that moment may result in an abnormality detection. Therefore, after it has been determined that the person is in an exercise state, a process may be added to ignore increases in heart rate or pulse rate for a certain period of time.

[0022] The seizure detection unit 45 performs processing to estimate the content of the user's seizure. The method of processing seizure detection is not particularly limited as long as it can determine the content of the user's seizure. For example, if the abnormality detection unit 44 determines that there is an abnormality, the seizure detection unit 45 may perform processing to determine the content of the seizure from the user's health-related information (underlying diseases, etc.) that has been registered in advance. Figure 5(a) shows a flow of an example of the seizure detection processing. If the fall detection unit 43 determines that there has been a fall, the seizure detection unit 45 extracts the vital signs at the time of the fall (S300). Also, if the abnormality detection unit 44 determines that there is an abnormality, the seizure detection unit 45 extracts the vital signs at the time of the abnormality (S300). The seizure detection unit 45 then processes whether the various measurement results of the extracted vital signs match the content of the user's health-related information that has been registered in advance (S301). Specifically, for example, if a user who has registered that they have a heart condition has vital signs such as heart rate and pulse rate that are not within the normal range, and a decrease in blood pressure is also observed, the system determines that it matches the pre-registered information and generates an seizure card screen for the user with heart condition (S302). The system then launches the application on the mobile terminal 3, displays the information on the display unit 33, and proceeds to sound an alarm from the notification unit 36. On the other hand, even if the information does not match the pre-registered information, if the seizure content can be determined (S303), the system generates a seizure card screen (S302). If the seizure content cannot be determined (S303), a seizure confirmation card is generated (S304, see Figure 11(b)). The system then launches the application on the mobile terminal 3, and if an error occurs during this process (Figure 7, S512), it proceeds to the sampling correction process (see Figure 6).

[0023] Figure 5(b) schematically shows an example of a user health information database D stored in the user information storage unit 42a of server 4. The information stored in the user health information database D, linked to the user ID, is not limited to the example shown, but information that should be displayed when generating a seizure card screen is stored. In addition, the user health information database D may also allow registration of the risk level range recommended by the user's primary physician. Information stored in the user health information database D includes the user's ID (an identifier that identifies the user), name, date of birth, address, primary care physician information, medication information (including drug name, side effect information, and dosage), and underlying diseases, among other health-related information of the user. In addition, information that would be good to display on the seizure diagnosis and seizure card screen, such as the user's weight, seizure history, various contact information, and injury / illness information, may also be stored.

[0024] The sampling unit 46 acquires vital signs such as body temperature, pulse, heart rate, blood oxygen saturation, blood pressure, respiratory rate, and blood glucose level transmitted from the wearable terminal 2, and converts them into sampled data (corrected data). It also performs processing to determine the numerical range of vital signs for the normal and exercise states according to each user. The sampling processing method is not particularly limited as long as it can perform correction processing so that abnormality detection processing and seizure detection processing can be performed accurately from the user's vital signs. For example, the sampling unit 46 may calculate the average value from the accumulation of vital signs acquired on a daily basis and determine the numerical range and median value of vital signs for the user's normal and exercise states. Specifically, the average heart rate of a person is said to be 60 to 90 beats / minute under normal conditions. Since the heart rate generally increases during exercise, this may be taken into consideration, and the user's normal heart rate data may be used as reference data to calculate the numerical range and median value according to the user. For example, while the normal range for blood oxygen saturation in a typical person is considered to be 96% to 100%, there are individual differences, and it tends to decrease during exercise. Therefore, taking this into consideration, the user's normal blood oxygen saturation data may be used as reference data to calculate a numerical range and median appropriate for the user. Also, since some people experience an increase in blood pressure when atmospheric pressure drops, the numerical range and median may be corrected based on the measurement results of the atmospheric pressure sensor. Furthermore, the sampling unit 46 may utilize AI and machine learning to calculate the numerical range considered normal for both the normal and exercise states. For example, the sensor units 25 and 35 of the wearable terminal 2 and mobile terminal 3 may be used to estimate the user's behavioral patterns and calculate the numerical range and median of vital signs according to each situation (commuting, working, sleeping, etc.), as well as whether the user is sitting or walking, and make judgments appropriate to each situation. The user's behavioral patterns may be estimated from the detection results of location information sensors such as GPS or from the speed of movement.

[0025] Figure 6 shows an example of the sampling correction process flow. When a seizure card screen is generated during the seizure detection process (Figure 5(a), S303) and the application on mobile terminal 3 is launched, the top screen of the seizure card screen displays an operation screen indicating whether or not it was a false detection operation (S400, see Figure 8(a)). Also, when a seizure confirmation card is generated during the seizure detection process (Figure 5(a), S304) and the application on mobile terminal 3 is launched, the seizure confirmation card screen displays an operation screen indicating whether or not it was a false detection operation (S400, see Figure 11(b)). If a false detection is detected (S401), the vital signs at the time of the false detection are extracted (S402), and processing is performed to correct the numerical range or median of the normal state (S403). This contributes to making highly accurate judgments tailored to each user's constitution. For example, suppose a user with "hypertension" registered as an underlying disease has the conditions for the application to launch met, and the seizure card screen was displayed and a warning was issued, but it was a false detection. If the blood pressure vital sign at that time was 180, the process may be implemented to include 180 in the upper limit of the normal range.

[0026] The screen generation unit 47 generates a seizure card screen to be displayed on the display unit 33 of the mobile terminal 3. Here, the seizure card screen refers to the screen displayed on the display unit 33 of the mobile terminal 3 while the life-saving support system 1 application is running (Figure 8(a), etc.). The screen generation unit 47 also generates a location information screen showing the current location on the seizure card screen (see Figure 10(a)). Furthermore, the screen generation unit 47 also generates a two-dimensional code according to the data capacity (see Figure 10(b)). Specific examples will be described later, but in addition to those illustrated, the seizure card screen may also generate screens that display information tailored to the underlying disease. For example, a seizure card screen that explains how to administer nasal powder medication used by people with diabetes when they experience hypoglycemia, how to administer inhalants used by people with asthma during an attack, how to use adrenaline auto-injectors used by people with allergies when anaphylaxis occurs, or a seizure card screen that displays the package insert for medication administration or taking medication.

[0027] The display setting unit 48 accepts settings for the content displayed on the seizure card screen shown on the mobile terminal 3. As shown in Figure 8, the seizure card screen contains a lot of personal information, so the user can set the information to be displayed. For example, in the seizure card screen shown in Figure 9(a), the home address can be considered information that is not urgently needed, so it can be set not to be displayed. The system is also configured so that the user does not want to see treatment information that is not relevant to their underlying medical condition. The procedure for performing this setting is not particularly limited, but for example, the user can log in to the life-saving support system 1 in advance and perform the setting via touch panel operation on the display unit 33 of the mobile terminal 3.

[0028] <Basic flow of a life-saving and rescue support system> Next, with reference to Figure 7, a basic operation example of the life-saving and rescue support system 1 will be explained. First, the measurement results of the sensor unit 25 measured by the wearable terminal 2, including vital signs, are sequentially transmitted to the mobile terminal 3 and the server 4 (S500, S502, S508). The mobile terminal 3 performs a simple abnormality determination process based on the measurement results acquired from the wearable terminal 2 (S503). Here, for example, a simple determination is made as to whether various vital signs are above a threshold. If the vital sign values ​​are above a predetermined threshold and an abnormality is determined (S504), the application on the mobile terminal 3 is launched (S505), and the seizure card screen is displayed on the display unit 33 (S506). An alarm sound is also emitted to indicate that it is a life-threatening emergency for the user (S507). At this time, as described above, the vibrator of the mobile terminal 3 may also be activated. The seizure card screen displayed when the simplified abnormality detection unit 37 detects an abnormality is not particularly limited, but it may display a message indicating an "emergency" as shown in Figure 8(a), or it may display the contents of vital signs that were above a threshold (such as having a high fever or high blood pressure).

[0029] Server 4 sequentially receives the measurement results from the sensor unit 25 transmitted from the wearable terminal 2 (S508). Based on this information, it performs fall detection processing (S509, see Figure 4(a)) and abnormality detection processing (S511, see Figure 4(b)). If the fall detection processing determines that a fall has occurred (S510), or if the abnormality detection processing determines that an abnormality has occurred (S512), it performs seizure detection processing (S513, see Figure 5). It then forcibly starts the application on the mobile terminal 3 (S505) and displays a seizure card screen (see Figure 8(a), etc.) or a seizure confirmation card screen (see Figure 11(b)) based on the seizure detection processing on the display unit 33 (S506). It also sounds an alarm to indicate that it is a life-threatening emergency for the user (S507). At this time, if the user determines that the warning on the seizure card screen is a false positive (S512), Server 4 performs sampling correction processing (S514, see Figure 6).

[0030] <Examples of flow and various processes> The basic operation of the life-saving support system 1 described above is just an example and is not limited thereto. For example, the flow may be to perform an abnormality judgment process after detecting a fall by the fall detection process, or it may be to perform a simplified abnormality judgment process after detecting a fall by the user. In addition, if the vital signs do not match the pre-registered information in the seizure detection process flow after detecting a fall by the user, an abnormality judgment process may be performed. Furthermore, a flow may be added to check whether the user is conscious after detecting a fall by checking both the wearable terminal 2 and the mobile terminal 3. In this case, the confirmation may be done by sending and displaying the top screen of the seizure card screen (see Figure 8(a)) or the seizure confirmation card screen (see Figure 11(b)) to both the wearable terminal 2 and the mobile terminal 3, or by activating the vibration function of the wearable terminal 2 and the mobile terminal 3. Furthermore, the mobile terminal 3 may emit a loud alarm sound until the seizure card screen is operated.

[0031] <Content displayed on mobile devices> Next, with reference to Figures 8 to 11, the seizure card screen and seizure confirmation card screen displayed on the display unit 33 of the mobile terminal 3 will be explained. Note that these display examples for the display unit 33 are just examples and are not limited to these. For example, here we show an example where the operation button 34h to return to the previously viewed screen (page) is provided on each page other than the top screen (see Figure 8(a)), but an operation button that allows direct return to the top screen from any page other than the top screen may also be provided. Furthermore, the display unit 33 may be configured to always display operation buttons to move to the detailed personal information page and the detailed rescue method page. In addition, here we explain an example where the call operation button 34j for calling an ambulance is provided on the next screen shown in Figure 8(b), but it may also be provided on the top screen.

[0032] Figure 8(a) shows an example of a "top screen" displayed on the display unit 33 to notify the user of an emergency. This screen displays an "emergency" indication, the user's name (the owner of the mobile terminal 3), a message such as "Your life is in danger. Please rescue me," and the user's name and age. Furthermore, this seizure card screen's top screen is equipped with a touch-panel operation button 34b labeled "false positive / no problem" to stop the emergency notification function. If the user has been falsely identified or does not require life-saving assistance, operating this button will stop the "emergency" warning displayed on the top screen. This top screen also has a touch-panel operation button 34c labeled "next." This is designed so that a person who sees this top screen (hereinafter referred to as a supporter) can operate it if the user has fallen or lost consciousness. This top screen should be designed in a way that allows a supporter to intuitively understand that it is an emergency, and messages encouraging operation may be added to make the operation button 34c easier to use. With the above configuration, if a user with a seizure-prone condition (for example, someone with diabetes, heart disease, lung disease, epilepsy, asthma, muscular dystrophy, or someone with a pacemaker or a history of stroke) experiences a seizure while out and about and is unable to speak, showing the top screen to people around them will allow them to quickly understand what is happening to the user and find help smoothly. In addition, when this display is shown on the display unit 33, an alarm sound indicating the urgency will sound, making it easy to attract the attention of people around.

[0033] Figure 8(b) shows an example of the screen when the operation button 34c is pressed. This screen displays a message indicating the user's medical condition, current state, and necessary rescue, along with buttons 34d to navigate to a page displaying more detailed rescue methods, 34e to navigate to a page displaying more detailed user information, and 34j to call an ambulance. The seizure card screen in Figure 8(b) is designed to allow users to instantly understand that "35-year-old Sato Mariko has an underlying heart condition (arrhythmia), is currently in cardiac arrest, may have a decreased level of consciousness, needs to be addressed with an AED, and an ambulance needs to be called." With this configuration, the user can smoothly carry out life-saving rescue activities because the requested assistance and personal information are written on the screen.

[0034] Figure 9(a) shows an example of the screen when operation button 34e, which displays detailed user information, is pressed. This screen displays the user's address, phone number, and primary care physician's information. Operation buttons 34d and 34f are also provided, which lead to a page displaying more detailed information about the user's rescue methods and a page displaying more detailed information about the user's medication. This configuration allows support staff to confirm what the user should contact in the event of an emergency. Therefore, the phone number fields may be configured so that pressing them initiates a call to the corresponding number.

[0035] Figure 9(b) shows an example of the screen when the operation button 34f, which displays detailed information about the user's "medication information," is pressed. This screen displays information about the medications the user is taking, information about medications that have caused side effects, and information about allergies. There are also operation buttons 34d to move to a page that displays more detailed information about the user's "rescue methods," and operation button 34g to return to the top screen. With this configuration, information such as medication information and allergy information is displayed for emergency medical staff such as paramedics and doctors, allowing them to grasp the condition of a patient they are seeing for the first time at an early stage.

[0036] Figure 9(c) shows an example of the screen displayed when the operation button 34d, which provides details of the user's "rescue method," is pressed. This screen displays the matters that the user has agreed to in advance for rescue purposes, along with a text explaining the rescue method with illustrations. There are also operation buttons 34f to move to a page that displays more detailed information about the user's "medication information," and operation button 34g to return to the top screen. With this configuration, even rescuers with no experience in life-saving operations can understand the rescue method.

[0037] Figure 10(a) shows an example of the screen when the call button 34j, which allows calling an ambulance, is pressed. Here, detailed location information (address, landmarks, location coordinates, etc.) indicating the current location detected by the mobile terminal 3 is displayed along with a map. This allows the mobile terminal 3 to confirm the location information where the seizure is presumed to have occurred. Therefore, it can be used by a caregiver to contact the ambulance with the current location, allowing for accurate communication of the current location. There are also operation buttons 34k to move to the patient data acquisition page where data such as the user's health information can be obtained, and operation button 34g to move to the top screen. The location information displayed here uses the detection results from the mobile terminal 3's GPS, etc. However, in the case of large stations or large commercial facilities, it may not be possible to determine the exact location within the station or on which floor of the commercial facility the user is on. In such cases, cumulative calculations may be performed using the measurement results from the acceleration sensors and barometric pressure sensors of the wearable terminal 2 and mobile terminal 3 to estimate the altitude the user has ascended. Alternatively, the system may use a compass sensor, a list of Wi-Fi access points, and the signal strength at the current location to estimate the user's location, and this information may be displayed as detailed location information.

[0038] Figure 10(b) shows an example of a screen when operation button 34k, which allows the acquisition of user information as patient data, is operated. This screen displays a QR code indicating that data such as the user's vital signs and underlying medical conditions can be acquired. The information transferred should be useful to emergency medical personnel arriving to rescue the user or to doctors at the hospital where the user was taken. Therefore, it is desirable to configure the system to acquire, for example, vital signs and the user's health-related information (underlying medical conditions, medication information, age, etc.) for several hours leading up to the fall detection, abnormality detection, and seizure detection. The method of acquiring the transferred data is not limited to reading the QR code; for example, if the receiving terminal has NFC communication capabilities, data may be transferred via short-range wireless communication, or, depending on the data content and volume, the server 4 may provide the information via the internet. Additionally, operation button 34d is provided to transition to a page displaying more detailed information about the user's "rescue method," and operation button 34l is provided to transition to a page where the user's seizure history can be viewed. Furthermore, the patient data acquired via this QR code may be displayed as a single screen on the seizure card screen.

[0039] Figure 11(a) shows an example of the screen displayed when the operation button 34l, which allows users to check their seizure history, is pressed. Here, the date and time of seizures the user has experienced in the past are displayed. The seizure history displayed on this page is not limited to the example shown in the figure; it may also include seizure history and medical history prior to the start of using the life-saving support system 1. With the above configuration, emergency medical staff such as paramedics and doctors can grasp the seizure history of a patient they are seeing for the first time at an early stage.

[0040] Figure 11(b) shows an example of a seizure confirmation card screen that is generated and displayed on the display unit 33 when the seizure detection unit 45 cannot determine (specify) the content of the seizure. Here, a screen is displayed asking whether the user needs rescue, and an operation button 34i is provided so that the user can answer with "yes" or "no". If "yes" is selected, rescue is needed, so the system moves to the top screen of the seizure card screen (see Figure 8(a)), displays "emergency" on the display unit 33, and sounds an alarm (Figure 7, S506, S507). On the other hand, if "no" is selected, rescue is not needed, and the emergency notification operation is stopped. In this case, it is not a misjudgment, but it is assumed that this operation is performed when there is a caregiver such as a family member who knows the user well. In addition, as shown in Figure 11(b), a touch panel operation button 34b for "misjudgment / no problem" may be provided on this seizure confirmation card screen. In this case, the emergency notification function is stopped, and since it is a false positive, sampling correction processing (Figure 6, S402, S403) is executed.

[0041] As described above, according to the life-saving and rescue support system 1 of this embodiment, when it is determined that an abnormality has occurred in the user's body, a seizure card screen displaying the user's health-related information in addition to rescue methods can be displayed on the mobile terminal 3 to issue a warning. Therefore, for example, even if the user is unable to speak due to a seizure, a nearby helper who notices the situation can appropriately perform life-saving and rescue. Furthermore, the life-saving and rescue support system 1 of this embodiment can be used when a healthy person with no prior medical history contracts a cold or infectious disease, during home recovery or hotel recovery, etc., and is a useful system for users who do not know when to call an ambulance or medical staff.

[0042] As described above, the configuration and form of the life-saving and rescue support system 1 according to the present invention are not limited to the above embodiments. The various judgment processing methods are also not limited to those described above. For example, the messages displayed on the seizure card screen and seizure confirmation card screen shown in Figures 8 to 11, as well as the wording of the various operation buttons, are not limited to the examples shown. The display should be easy to understand for users, supporters, paramedics, doctors, and other people involved with the life-saving and rescue support system 1. Furthermore, the various judgment processing methods are not limited to those described above. For example, depending on the content of the seizure, a comparison with previous vital signs may be performed to determine abnormalities or the content of the seizure. [Explanation of symbols]

[0043] 1. Life-saving and rescue support system 2. Wearable devices 3 Mobile devices 33 Display section 4 servers 44 Abnormality determination section 45 Seizure detection unit 47 Screen generation section

Claims

1. An abnormality detection unit that determines the user's physical abnormality based on vital signs such as body temperature, pulse, and heart rate from the sensor part of a wearable device worn by the user, A seizure determination unit determines the seizure type of the user based on the user's health-related information, such as pre-registered underlying diseases, medication information, and age, and the determination result of the abnormality determination unit. The system includes a screen generation unit that generates a seizure card screen that displays the user's life-saving method in addition to the health-related information, based on the abnormality determination or the seizure details. The user's mobile device, which is connected in association with the wearable device, displays the seizure card screen on its display unit and issues a warning. If the abnormality detection unit makes a false determination, the life-saving and rescue support system corrects the erroneously determined vital sign data to within the normal range.

2. In claim 1, The wearable terminal and the mobile terminal are each equipped with an accelerometer, A life-saving and rescue support system further comprising a fall detection unit that determines if the user has fallen when the acceleration of both terminals increases rapidly at the same time.

3. In claim 1 or claim 2, The aforementioned seizure card screen displays location information indicating the current location, providing a life-saving and rescue support system.

4. In any one of claims 1 to 3, A life-saving and rescue support system comprising a display setting unit for the user to pre-select and set the seizure card screen to be displayed on the display unit.

5. The computer determines the user's physical abnormality based on vital signs such as body temperature, pulse, and heart rate, obtained from the sensor part of the wearable device worn by the user. Based on the user's pre-registered health-related information, such as pre-existing medical conditions, medication information, and age, and the aforementioned determination, the type of seizure of the user is determined. An information processing method for transmitting the seizure details to the user's mobile terminal, which is connected to the wearable terminal in association with the seizure details.

6. Based on vital signs such as body temperature, pulse, and heart rate, detected from the sensor unit of the wearable device worn by the user, the system determines any physical abnormalities of the user. Based on the user's pre-registered health-related information, such as pre-existing medical conditions, medication information, and age, and the aforementioned determination, the type of seizure of the user is determined. An application program for causing the user to transmit the seizure details to the user's mobile device, which is connected to the wearable device in association with the seizure details.

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