Remote safety monitoring system for patient with intracardiac disease

Abstract

The invention relates to the technical field of remote monitoring systems, in particular to a remote safety monitoring system for intracardiac disease patients, which comprises a monitoring terminal, a handheld terminal and a remote terminal, and further comprises a remote monitoring unit for position data; the danger early warning unit is used for calculating early warning parameters; the heart disease recognition unit is used for generating a heart disease generation signal and sending the signal to a remote terminal; the bidirectional reaction unit is used for acquiring the heart disease occurrence signal, acquiring user position data, screening AED equipment in a range threshold value as target equipment, acquiring a route distance between the target equipment and the user, analyzing and calculating acquisition time between the target equipment and the user by combining a floor where the target equipment is located and a floor where the user is located, and outputting the acquired time; and selecting the target equipment with the shortest acquisition time as recommendation equipment, selecting an optimal center based on the route time consumption between the emergency center position and the user position, and establishing communication connection with the handheld terminal.

Description

Technical Field

[0001] The present invention relates to the technical field of remote monitoring systems, and in particular to a remote safety monitoring system for patients with cardiac diseases. Background Art

[0002] The remote safety monitoring system for patients with heart diseases is a system that uses modern communication and computer technology to monitor and remotely manage heart disease patients in real time. This system usually includes ECG monitoring and early warning equipment, the Internet, artificial intelligence technology, cloud networks, etc., which can achieve early detection, early diagnosis and early treatment of abnormal ECG changes in patients, and can respond quickly when patients suddenly develop heart diseases, thereby improving the treatment effect and reducing the mortality and disability rates of patients.

[0003] Generally, sudden heart disease is accompanied by symptoms of ventricular fibrillation, which requires timely defibrillation with a defibrillator. Although AED equipment is generally equipped in major public places, the location of these devices is difficult to obtain directly. The existing remote safety monitoring system for patients with cardiac diseases cannot intelligently push the location of AED equipment to the patient based on the patient's location and communicate with the emergency center, resulting in poor safety monitoring results and affecting the efficiency of treatment when the disease occurs. Summary of the invention

[0004] In view of the above-mentioned shortcomings of the prior art, the present invention provides a remote safety monitoring system for patients with intracardiac diseases, which can effectively solve the problem of poor safety monitoring effect of the remote safety monitoring system for patients with intracardiac diseases in the prior art.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0006] The present invention provides a remote safety monitoring system for patients with cardiac diseases, which comprises at least: a monitoring terminal, a handheld terminal and a remote terminal, and also comprises:

[0007] The remote monitoring unit draws the user's electrocardiogram and heart rate change line graph, obtains the user's current location coordinates and horizontal height, and combines the three-dimensional map data analysis to obtain the user's current building, floor and floor coordinates, and forms the user's location data;

[0008] Danger warning unit, which obtains multiple physical status data of the user for comprehensive analysis and calculates warning parameters;

[0009] Heart disease recognition unit: the monitoring terminal recognizes the user's heart disease symptoms based on the electrocardiogram and heart rate change line graph, generates a heart disease occurrence signal and sends it to the remote terminal;

[0010] The two-way response unit, when receiving a heart attack signal, obtains the user's location data and selects the AED devices within the range threshold as the target devices, obtains the route distance between the target device and the user, analyzes and calculates the acquisition time between the target device and the user based on the floor where the target device is located and the floor where the user is located, selects the target device with the shortest acquisition time as the recommended device and sends the recommended device location information to the handheld terminal;

[0011] Filter out emergency centers with more than 0 idle ambulances, select the best center based on the route time between the emergency center and the user's location, and establish a communication connection with the handheld terminal.

[0012] Furthermore, the location data analysis and acquisition process is specifically as follows:

[0013] The user's current longitude, latitude and horizontal altitude form a data set (Longi now , Lati now , Height now ) is preset with a three-dimensional map containing building data, the building data includes building outlines and building level intervals, where:

[0014] The building outline is obtained based on the horizontal projection of the building 3D model;

[0015] Get the floor plan of any building with multiple floors, denoted as MAP i , where i is the number of floors of the building (for example, when the floor map is negative one floor, i = -1), and the height data of each floor is obtained and recorded as H i , let the ground level of the building be H d , let H0 = 0, when i is a positive integer, substitute into the formula H i ′=H d +∑H i-1 +(i-1)*h,H i =H i ′+H i Calculate in and get the building level interval [H i ′,H i ″], where h is the preset ground floor impact value. When i is a negative integer, substitute it into the formula H i ′=H d -∑H i-1 -i*h′,H i =H i ′-H i Calculate in and get the building level interval [H i ′,H i ″], where h′ is the preset underground floor influence value;

[0016] Based on (Longinow , Lati now ) Determine the building outline to which the user belongs, obtain the building level interval of the building outline, and now The building level interval to which the user belongs obtains the floor where the user is located, and obtains the floor map corresponding to the floor, based on (Longi now , Lati now ) Determine the user's specific location within the floor and record it as the floor coordinates.

[0017] Furthermore, the warning parameter calculation process is as follows:

[0018] Draw a line graph of the three-axis acceleration change of the monitoring terminal, preset an analysis time Δt, intercept the three-axis acceleration change line graph within the time range [t0-Δt, t0] as the analysis image, obtain the number of intersections of the three broken lines in the analysis image and record it as the first motion parameter move1, obtain the area of ​​the closed figure surrounded by the three broken lines in the analysis image and the coordinate axis and obtain the second motion parameter move2, substitute it into the formula β m =λ1*move1+λ2*move2 to calculate the motion impact value β m , where λ1 and λ2 are preset weight coefficients;

[0019] Get the user's heart rate change line chart, get the heart rate average HR1 and current heart rate HR2 within the time range [t0-Δt, t0], and substitute them into the formula β hr =λ3*(HR1-HR′)+λ4*(HR2-HR′) to obtain the heart rate influence value β hr , where λ3 and λ4 are preset weight coefficients, and HR′ is the preset heart rate threshold;

[0020] Get the total sleep duration sl1 and the average daily sleep duration sl2 of the user in the past week, and substitute them into the formula β sl =λ5*sl1+λ6*sl2 to obtain the sleep impact value β sl , where λ5 and λ6 are preset weight coefficients;

[0021] Impact value on movement β m , heart rate impact value β hr and sleep impact value β sl Normalize and substitute into the formula Calculation is performed to obtain the warning parameter β′, where δ1 and δ2 are both preset values. When the warning parameter is greater than the preset warning threshold, a status warning signal is generated.

[0022] Furthermore, the recommended process of the AED device is as follows:

[0023] The location information of multiple AED devices is preset, and a range threshold is preset. A range circle is drawn with the user's current location coordinates as the center and the range threshold as the radius, and all AED devices within the range circle are obtained and recorded as target devices;

[0024] The building where the target device is located is recorded as the target building, the route distance between the target building and the building where the user is currently located is calculated and divided by the preset walking speed to obtain a first time value, the floor where the target device is located and the floor where the user is located are calculated and multiplied by the preset floor influence coefficient to obtain a second time value, the sum of the first time value and the second time value is calculated to obtain the acquisition time corresponding to each target device, and the target device with the shortest acquisition time is selected as the recommended device;

[0025] The location information of the recommended equipment is sent to the handheld terminal and displayed on the handheld terminal.

[0026] Furthermore, the dispatch planning process of the emergency center is as follows:

[0027] There are multiple emergency center locations preset, and the straight-line distance from each emergency center to the user's current location is obtained. The n emergency centers with the closest straight-line distance are selected as target centers, where n is a preset constant value. The number of idle ambulances at each target center is obtained as the idle number. The target center with the number of ambulances greater than 0 is selected as the priority center. The vehicle route between the priority center and the building where the user is currently located is constructed and the real-time route time is obtained. The vehicle route with the shortest real-time route time is selected as the optimal route, and the emergency center corresponding to the optimal route is selected as the optimal center;

[0028] Establish a communication connection between the best center and the handheld terminal, and send the emergency contact information bound to the monitoring terminal to the best center.

[0029] Furthermore, it also includes an offline reaction unit,

[0030] When the monitoring terminal cannot establish a network connection with the remote terminal, the offline response unit obtains the user's destination data to build a pre-stored map, and obtains the nearest AED device information based on the user's current location and the pre-stored map for recommendation.

[0031] Furthermore, the AED device information recommendation process in the offline state is as follows:

[0032] Obtain the user's destination area and construct an estimated route between the destination areas, obtain an activity planning area connected by multiple destination areas and the estimated routes, obtain an outline map of the activity planning area to obtain a planning outline, obtain the horizontal coordinates of all AED devices outside the planning outline and calculate the minimum distance between them and the planning outline, and record the AED devices with a minimum distance less than a preset distance threshold and the AED devices within the planning outline as regional devices;

[0033] Get the location information of all regional devices (Longi AED , Lati AED , Floor AED ), among which Longi AED , Lati AED 、Floor AED Respectively represent the longitude, latitude and floor of the equipment, bind a label to each regional equipment, and store the label and location information in the monitoring terminal and handheld terminal;

[0034] Obtaining three or more regional equipment locations and using them as boundary points to construct a closed graph, recording the closed graph containing the activity planning area and all regional equipment as an alternative graph, selecting the alternative graph with the smallest area as a pre-stored graph, and obtaining a three-dimensional map within the range of the pre-stored graph as a pre-stored map;

[0035] When a heart attack signal is received and the network connection with the remote terminal cannot be established, the user's current location data is obtained (Longi now , Lati now , Floor AED ), where Floor AED Indicates the floor the user is on, substitute into the formula Calculate in to get the equipment recommended value TJ, where μ1 and μ2 are preset weight coefficients, obtain the number corresponding to the regional equipment with the smallest equipment recommended value as the target number, send it to the handheld terminal and display it through the monitoring terminal;

[0036] The handheld terminal obtains the location information of the equipment in the corresponding area based on the target number and constructs the acquisition route on the pre-stored map.

[0037] Compared with the known prior art, the technical solution provided by the present invention has the following beneficial effects:

[0038] 1. The bidirectional response unit of the present invention can respond bidirectionally when a user has a sudden heart disease. On the one hand, it plans the best AED acquisition route for the user or other helpers, so that emergency defibrillation can be performed through the AED device before the ambulance arrives, thereby improving the possibility of survival. On the other hand, it establishes communication with the best center in time, so that the emergency center can quickly learn the user's location and guide the emergency work, saving the time of actively dialing the emergency number and communicating the situation, greatly improving the efficiency of the user's treatment, and thus improving the user's survival rate after a sudden heart disease.

[0039] 2. The offline response unit of the present invention can recommend suitable AED device location information to users and plan routes in the absence of a network by pre-stored maps and pre-stored regional device location information, thereby achieving safety protection in different usage scenarios. In the process of users pre-storing data, the data is screened based on its priority, thereby optimizing the volume of stored data, reducing the memory usage and demand of the monitoring device, and being more suitable for use with smaller monitoring devices. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0041] Figure 1 It is the overall module block diagram of the present invention;

[0042] Figure 2 It is a device relationship diagram of the present invention. DETAILED DESCRIPTION

[0043] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0044] The present invention will be further described below in conjunction with the embodiments.

[0045] See also Figure 1 , Figure 2 A remote safety monitoring system for patients with cardiac diseases at least includes: a monitoring terminal for monitoring the user's heart rate data, the user carries the monitoring terminal by wearing or stowing it, the monitoring terminal includes but is not limited to a smart bracelet and a smart watch, a remote terminal for analyzing and processing data and controlling the monitoring terminal, and a handheld terminal for establishing a network connection between the remote terminal and the monitoring terminal, such as a mobile phone, the remote terminal and the handheld terminal are wirelessly connected via the network, and the monitoring terminal and the handheld terminal are wirelessly connected via short-range communication technologies such as Bluetooth and Zigbee.

[0046] Monitoring terminals are usually small in size and have limited internal electronic components, which limits their functionality. They usually do not have large-capacity storage and remote communication capabilities. Although handheld terminals have a variety of functions, they are difficult to measure key user data at any time, such as heart rate, electrocardiogram, etc. The two have their own advantages and disadvantages, and are generally used in combination to build a complete and effective remote safety monitoring system.

[0047] Also includes:

[0048] The remote monitoring unit obtains the user's current location coordinates (longitude, latitude) and horizontal altitude, monitors the user's electrocardiogram pulse and draws an ECG (electrocardiogram), obtains the user's current heart rate and draws a line graph of the heart rate (the user's heart rate and pulse are measured by photoplethysmography) changes;

[0049] The user's current longitude, latitude and horizontal altitude form a data set (Longi now , Lati now , Height now ) and sent to a remote terminal in real time. The remote terminal is preset with a three-dimensional map containing building data. The building data includes building outlines and building level intervals, where:

[0050] Obtain a three-dimensional model of each building and record it as a unit model. Each unit model corresponds to a physical building. Construct a horizontal projection map of the unit model to obtain a horizontal contour map, and use the horizontal contour map of the unit model as its building contour.

[0051] Get the floor plan of any building with multiple floors, denoted as MAP i , where i is the number of floors of the building (for example, when the floor map is negative one floor, i = -1), and the height data of each floor is obtained and recorded as H i , let the ground level of the building be H d , let H0 = 0, when i is a positive integer, substitute into the formula H i ′=H d +∑H i-1 +(i-1)*h,H i =H i ′+H i Calculate in and get the building level interval [H i ′,H i ″], where h is the preset ground floor impact value. When i is a negative integer, substitute it into the formula H i ′=H d -∑H i-1 -i*h′,H i =H i ′-H iCalculate in and get the building level interval [H i ′,H i ″], where h′ is the preset underground floor influence value;

[0052] Based on (Longi now , Lati now ) Determine the building outline to which the user belongs, obtain the building level interval of the building outline, and now The building level interval to which the user belongs obtains the floor where the user is located, and obtains the floor map corresponding to the floor, based on (Longi now , Lati now ) Determine the user's specific location within the floor and record it as the floor coordinates.

[0053] Based on the user dataset (Longi now , Lati now ,Height now ) to determine the user's specific location, so that when the user suffers a sudden heart attack, the user's location can be quickly obtained, and further emergency measures and deployments can be made to ensure that the user receives timely treatment.

[0054] The danger warning unit analyzes the user's physical condition data and location information to construct warning parameters for judging the danger of the current heart disease, including:

[0055] The three-axis acceleration (acceleration in three directions perpendicular to each other) of the monitoring terminal is obtained, and a three-axis acceleration change line graph is drawn in the same coordinate system. An analysis time Δt is preset, and the three-axis acceleration change line graph within the time range [t0-Δt, t0] is intercepted as the analysis image. The number of intersections of the three broken lines in the analysis image is obtained and recorded as the first motion parameter move1. The area of ​​the closed figure enclosed by the three broken lines in the analysis image and the coordinate axis is obtained to obtain the second motion parameter move2, which is substituted into the formula β m =λ1*move1+λ2*move2 to calculate the motion impact value β m , where λ1 and λ2 are preset weight coefficients;

[0056] It should be noted that the motion impact value can indirectly reflect the user's current motion state and the intensity of the motion. Its value depends on the acceleration value and the acceleration change of the monitoring terminal. When the user is in a state of intense motion, the body will produce a large amount of movement, resulting in an increase in the second motion parameter. In addition, the regularity of body movement will decrease during intense exercise, which will lead to an increase in the first motion parameter, thereby jointly causing an increase in the motion impact value.

[0057] Get the user's heart rate change line chart, get the heart rate average HR1 and current heart rate HR2 within the time range [t0-Δt, t0], and substitute them into the formula β hr =λ3*(HR1-HR′)+λ4*(HR2-HR′) to obtain the heart rate influence value β hr , where λ3 and λ4 are preset weight coefficients, and HR′ is the preset heart rate threshold;

[0058] Get the total sleep duration sl1 and the average daily sleep duration sl2 of the user in the past week, and substitute them into the formula β sl =λ5*sl1+λ6*sl2 to obtain the sleep impact value β sl , where λ5 and λ6 are preset weight coefficients;

[0059] It should be noted that the monitoring of sleep status belongs to the existing technology, and is mainly determined by monitoring the user's heart rate and the acceleration change of the monitoring terminal through the monitoring terminal, which will not be elaborated here.

[0060] Impact value on movement β m , heart rate impact value β hr and sleep impact value β sl Normalize and substitute into the formula Calculation is performed to obtain the warning parameter β′, where δ1 and δ2 are both preset values. When the warning parameter is greater than the preset warning threshold, a status warning signal is generated. The warning parameter can indirectly reflect the stability of the user's current physical state. When the warning parameter value is larger, it means that the user's current physical state is worse and the easier it is to induce ventricular fibrillation. Generating a status warning signal is helpful to remind the user to stop the current exercise and pay attention to rest, thereby reducing the risk of heart disease when the physical state is not good.

[0061] The heart disease identification unit monitors the user's heart activity based on ECG (electrocardiogram) and PPG (photoplethysmography). When it is identified that the user has symptoms of heart disease, a heart disease occurrence signal is generated and sent to the remote terminal.

[0062] It should be noted that ECG and PPG and monitoring terminals equipped with their functions are all existing technologies. ECG mainly uses electrodes attached to the surface of human skin to detect the potential transmission of the heart and draw an electrocardiogram, while PPG uses the change in the absorption of light by arteries compared to other tissues to detect changes in blood volume to monitor the pulse and draw a pulse graph. The real-time monitored ECG data and pulse data can promptly identify and discover the user's heart disease symptoms. For example, during ventricular fibrillation, the ECG shows that the QRS-T wave group completely disappears, and is replaced by fibrillation waves (f waves) of different shapes, sizes and extremely uneven spacing, with a frequency of 250 to 500 times / minute. Since the ventricles cannot effectively contract to pump blood during ventricular fibrillation, the pulse will appear to be 0.

[0063] When a heart attack signal is received, the two-way response unit recommends the nearest AED device to the user and performs route planning based on the user's location data and the AED (automatic external defibrillator) device location data. At the same time, it establishes communication links with various emergency centers and performs scheduling planning based on the emergency center and the user's location.

[0064] The process for recommending an AED device is as follows:

[0065] The location information of multiple AED devices is preset (the AED devices here refer to AED devices that are provided to the public and recorded, and their location information can be collected by staff or directly provided by relevant departments, including but not limited to the building location, floor height and floor map containing the specific location of the AED device), and a range threshold is preset. A range circle is drawn with the user's current positioning coordinates as the center and the range threshold as the radius. All AED devices within the range circle are obtained and recorded as target devices. The building where the target device is located is recorded as the target building. The route distance between the target building and the building where the user is currently located is calculated and divided by the preset walking speed to obtain a first time value. The floor where the target device is located and the floor where the user is located are calculated and multiplied by the preset floor influence coefficient to obtain a second time value. The sum of the first time value and the second time value is calculated to obtain the acquisition time corresponding to each target device, and the target device with the shortest acquisition time is selected as the recommended device;

[0066] The location information of the recommended equipment is sent to the handheld terminal and displayed on the handheld terminal.

[0067] The dispatch planning process of the emergency center is as follows:

[0068] There are multiple emergency center locations preset, and the straight-line distance from each emergency center to the user's current location is obtained. The n emergency centers with the closest straight-line distance are selected as target centers, where n is a preset constant value. The number of idle ambulances at each target center is obtained as the idle number. The target center with the number of ambulances greater than 0 is selected as the priority center. The vehicle route between the priority center and the building where the user is currently located is constructed and the real-time route time consumption is obtained (which can be obtained through the map navigation software in the prior art). The vehicle route with the shortest real-time route time consumption is selected as the optimal route, and the emergency center corresponding to the optimal route is selected as the optimal center;

[0069] Establish a communication connection between the best center and the handheld terminal, and send the emergency contact information bound to the monitoring terminal to the best center.

[0070] It should be noted that when a heart disease suddenly occurs, the patient's chance of survival will decrease rapidly with the passage of time, and timely treatment becomes the top priority of the remote safety monitoring system. The two-way response unit can respond in both directions when the user suddenly suffers a heart disease. On the one hand, it can plan the best AED acquisition route for the user (or other helpers), so that emergency defibrillation can be performed through the AED device before the ambulance arrives, thereby increasing the possibility of survival. On the other hand, it can establish communication with the best center in time, so that the emergency center can quickly learn the user's location and guide the emergency work, saving the time of actively calling the emergency number and communicating the situation.

[0071] Embodiment 2:

[0072] Based on a remote safety monitoring system for patients with cardiac diseases in Example 1, when a user suffers from a sudden cardiac disease, a route to obtain an AED can be planned in time for the user or surrounding helpers according to the user's location data, and a suitable emergency center can be selected and a communication connection can be established to ensure that the user receives timely treatment. However, the remote terminal and the monitoring terminal rely on the network for communication, thereby transmitting a large amount of data, and therefore have a high demand for network fluency and need to remain online. In daily life, users may inevitably enter areas and environments with poor network conditions, which may result in the inability to establish a communication connection and equipment acquisition route in a timely manner, affecting the efficiency of treatment.

[0073] In view of the above problems, this embodiment proposes further improvements. Compared with the first embodiment, the difference is that:

[0074] Furthermore, an offline response unit is also included. When the monitoring terminal cannot establish a network connection with the remote terminal, the offline response unit obtains the nearest AED device information and emergency center information based on the user's current location data. The analysis process is as follows:

[0075] Obtain the user's destination area and construct an estimated route between the destination areas (the destination area and the estimated route are obtained in a pre-input form, input by the user through a mobile phone before departure and transmitted to a remote terminal), obtain an activity planning area consisting of multiple destination areas and estimated routes in series, obtain an outline map of the activity planning area to obtain a planning outline (the estimated route part is represented by a curve, that is, the outline map is composed of multiple closed figures and multiple curves), obtain the horizontal coordinates of all AED devices located outside the planning outline and calculate the minimum distance between them and the planning outline, and record the AED devices whose minimum distance is less than a preset distance threshold and the AED devices within the planning outline as regional devices;

[0076] Get the location information of all regional devices (Longi AED , Lati AED , Floor AED ), among which Longi AED , Lati AED 、Floor AED Respectively represent the longitude, latitude and floor of the equipment, and bind a label to each regional equipment, store the label and location information in the monitoring terminal and handheld terminal, and obtain regional equipment that meets the requirements through screening, thereby reducing the amount of offline cache data (the data after screening only contains the label and location information), so as to quickly select the appropriate regional equipment for user recommendation;

[0077] The handheld terminal constructs a pre-stored map containing all regional devices based on the activity planning area (that is, the map includes both the complete activity planning area and all regional devices) and pre-stores it. The construction process is as follows:

[0078] Obtain three or more regional equipment locations and use them as boundary points to construct a closed graph, and record the closed graph containing the activity planning area and all regional equipment as an alternative graph, select the alternative graph with the smallest area as the pre-stored graph, and obtain a three-dimensional map within the range of the pre-stored graph as the pre-stored map. By selecting the pre-stored map with the smallest area, the data volume occupied by it can be effectively reduced;

[0079] When a heart attack signal is received and the network connection with the remote terminal cannot be established, that is, when the user is in an offline state, the user's current location data (Longi now , Lati now , Floor AED ), where Floor AED Indicates the floor the user is on, substitute into the formula Calculate in to get the equipment recommended value TJ, where μ1 and μ2 are preset weight coefficients, obtain the number corresponding to the regional equipment with the smallest equipment recommended value as the target number, send it to the handheld terminal and display it through the monitoring terminal;

[0080] The handheld terminal obtains the location information of the equipment in the corresponding area based on the target number and constructs the acquisition route on the pre-stored map.

[0081] It should be noted that satellite positioning signals (GPS positioning signals, Beidou satellite positioning signals) are more stable than network signals. When the network signal is poor, satellite positioning signals can be used normally. Through pre-stored maps and pre-stored regional equipment location information, suitable AED equipment location information can be recommended to users without a network, and routes can be planned, thereby achieving safety protection in different usage scenarios.

[0082] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the protection scope of the technical solutions of the embodiments of the present invention.

Claims

1. A remote safety monitoring system for patients with cardiac diseases, comprising a monitoring terminal, a handheld terminal and a remote terminal, characterized in that: Also includes: The remote monitoring unit draws the user's electrocardiogram and heart rate change line graph, obtains the user's current location coordinates and horizontal height, and combines the three-dimensional map data analysis to obtain the user's current building, floor and floor coordinates, and forms the user's location data; Danger warning unit, which obtains multiple physical status data of the user for comprehensive analysis and calculates warning parameters; Heart disease recognition unit: the monitoring terminal recognizes the user's heart disease symptoms based on the electrocardiogram and heart rate change line graph, generates a heart disease occurrence signal and sends it to the remote terminal; The two-way response unit, when receiving a heart attack signal, obtains the user's location data and selects the AED devices within the range threshold as the target devices, obtains the route distance between the target device and the user, analyzes and calculates the acquisition time between the target device and the user based on the floor where the target device is located and the floor where the user is located, selects the target device with the shortest acquisition time as the recommended device and sends the recommended device location information to the handheld terminal; Filter out emergency centers with more than 0 idle ambulances, select the best center based on the route time between the emergency center and the user's location, and establish a communication connection with the handheld terminal.

2. A remote safety monitoring system for patients with cardiac diseases according to claim 1, characterized in that: The location data analysis and acquisition process is specifically as follows: The user's current longitude, latitude and horizontal altitude form a data set (Longi now , Lati now , Height now ) is preset with a three-dimensional map containing building data, the building data includes building outlines and building level intervals, where: The building outline is obtained based on the horizontal projection of the building 3D model; Get the floor plan of any building with multiple floors, denoted as MAP i , where i is the number of floors of the building, and the height data of each floor is obtained and recorded as H i , let the ground level of the building be H d , let H0 = 0, when i is a positive integer, substitute into the formula H i ′=H d +∑H i-1 +(i-1)*h,H i =H i ′+H i Calculate in and get the building level interval [H i ′,H i ″], where h is the preset ground floor impact value. When i is a negative integer, substitute it into the formula H i ′=H d -∑H i-1 -i*h′,H i =H i ′-H i Calculate in and get the building level interval [H i ′,H i ″], where h′ is the preset underground floor influence value; Based on (Longi now , Lati now ) Determine the building outline to which the user belongs, obtain the building level interval of the building outline, and now The building level interval to which the user belongs obtains the floor where the user is located, and obtains the floor map corresponding to the floor, based on (Longi now , Lati now ) Determine the user's specific location within the floor and record it as the floor coordinates.

3. A remote safety monitoring system for patients with cardiac diseases according to claim 1, characterized in that: The calculation process of the warning parameters is as follows: Draw a line graph of the three-axis acceleration change of the monitoring terminal, preset an analysis time Δt, intercept the three-axis acceleration change line graph within the time range [t0-Δt, t0] as the analysis image, obtain the number of intersections of the three broken lines in the analysis image and record it as the first motion parameter move1, obtain the area of ​​the closed figure surrounded by the three broken lines in the analysis image and the coordinate axis and obtain the second motion parameter move2, substitute it into the formula β m =λ1*move1+λ2*move2 to calculate the motion impact value β m , where λ1 and λ2 are preset weight coefficients; Get the user's heart rate change line chart, get the heart rate average HR1 and current heart rate HR2 within the time range [t0-Δt, t0], and substitute them into the formula β hr =λ3*(HR1-HR′)+λ4*(HR2-HR′) to obtain the heart rate influence value β hr , where λ3 and λ4 are preset weight coefficients, and HR′ is the preset heart rate threshold; Get the total sleep duration sl1 and the average daily sleep duration sl2 of the user in the past week, and substitute them into the formula β sl =λ5*sl1+λ6*sl2 to obtain the sleep impact value β sl , where λ5 and λ6 are preset weight coefficients; Impact value on movement β m , heart rate impact value β hr and sleep impact value β sl Normalize and substitute into the formula Calculation is performed to obtain the warning parameter β′, where δ1 and δ2 are both preset values. When the warning parameter is greater than the preset warning threshold, a status warning signal is generated.

4. A remote safety monitoring system for patients with cardiac diseases according to claim 2, characterized in that: The recommended procedure for the AED device is as follows: The location information of multiple AED devices is preset, and a range threshold is preset. A range circle is drawn with the user's current location coordinates as the center and the range threshold as the radius, and all AED devices within the range circle are obtained and recorded as target devices; The building where the target device is located is recorded as the target building, the route distance between the target building and the building where the user is currently located is calculated and divided by the preset speed to obtain a first time value, the floor where the target device is located and the floor where the user is located are calculated and multiplied by the preset floor influence coefficient to obtain a second time value, the sum of the first time value and the second time value is calculated to obtain the acquisition time corresponding to each target device, and the target device with the shortest acquisition time is selected as the recommended device; The location information of the recommended equipment is sent to the handheld terminal and displayed on the handheld terminal.

5. A remote safety monitoring system for patients with cardiac diseases according to claim 2, characterized in that: The dispatch planning process of the emergency center is as follows: There are multiple emergency center locations preset, and the straight-line distance from each emergency center to the user's current location is obtained. The n emergency centers with the closest straight-line distance are selected as target centers, where n is a preset constant value. The number of idle ambulances at each target center is obtained as the idle number. The target center with the number of ambulances greater than 0 is selected as the priority center. The vehicle route between the priority center and the building where the user is currently located is constructed and the real-time route time is obtained. The vehicle route with the shortest real-time route time is selected as the optimal route, and the emergency center corresponding to the optimal route is selected as the optimal center; Establish a communication connection between the best center and the handheld terminal, and send the emergency contact information bound to the monitoring terminal to the best center.

6. A remote safety monitoring system for patients with cardiac diseases according to claim 1, characterized in that: Also includes an offline reaction unit, When the monitoring terminal cannot establish a network connection with the remote terminal, the offline response unit obtains the user's destination data to build a pre-stored map, and obtains the nearest AED device information based on the user's current location and the pre-stored map for recommendation.

7. A remote safety monitoring system for patients with cardiac diseases according to claim 6, characterized in that: The offline AED device information recommendation process is as follows: Obtain the user's destination area and construct an estimated route between the destination areas, obtain an activity planning area connected by multiple destination areas and the estimated routes, obtain an outline map of the activity planning area to obtain a planning outline, obtain the horizontal coordinates of all AED devices outside the planning outline and calculate the minimum distance between them and the planning outline, and record the AED devices with a minimum distance less than a preset distance threshold and the AED devices within the planning outline as regional devices; Get the location information of all regional devices (Longi AED , Lati AED , Floor AED ), among which Longi AED , Lati AED 、Floor AED Respectively represent the longitude, latitude and floor of the equipment, bind a label to each regional equipment, and store the label and location information in the monitoring terminal and handheld terminal; Obtaining three or more regional equipment locations and using them as boundary points to construct a closed graph, recording the closed graph containing the activity planning area and all regional equipment as an alternative graph, selecting the alternative graph with the smallest area as a pre-stored graph, and obtaining a three-dimensional map within the range of the pre-stored graph as a pre-stored map; When a heart attack signal is received and the network connection with the remote terminal cannot be established, the user's current location data is obtained (Longi now , Lati now , Floor AED ), where Floor AED Indicates the floor the user is on, substitute into the formula Calculate in to get the equipment recommended value TJ, where μ1 and μ2 are preset weight coefficients, obtain the number corresponding to the regional equipment with the smallest equipment recommended value as the target number, send it to the handheld terminal and display it through the monitoring terminal; The handheld terminal obtains the location information of the equipment in the corresponding area based on the target number and constructs the acquisition route on the pre-stored map.

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