Remote digital health monitoring management method, device and system

Abstract

The invention provides a remote digital health monitoring management method. The method comprises the following steps: acquiring various physical sign information of an object through a health monitoring module; receiving data of the health monitoring module through the intelligent gateway, and uploading the data to the cloud server; performing health grading and disease early warning on the object based on the health monitoring data by adopting an AI model, and pushing the health grading and disease early warning to the management terminal; and the management terminal performs information display or output according to the data pushed by the cloud server. Linkage management of the elderly, family members and doctors is realized, passivity in the current elderly health maintenance process is effectively solved, and a closed loop of real-time sensing of the health condition of the elderly and active risk control intervention is realized.

Description

Technical Field

[0001] The present invention belongs to the field of health management, and in particular relates to a remote digital health monitoring management method, device and system. Background Art

[0002] At present, my country is about to enter an aging society, and the elderly care, home care and hospital services for the elderly have become key issues that need to be solved urgently. With the increase in the proportion of the elderly population, the demand for high-quality medical services has risen sharply, and providing continuous health monitoring, daily care and emergency response mechanisms has become a challenge. Establishing a health management system based on big data and end-to-end feedback is of great significance to improving the quality of life of the elderly and efficiently utilizing medical resources. Summary of the invention

[0003] The purpose of the present invention is to provide a remote digital health monitoring management method, device and system, aiming to solve the problem that the current health monitoring of the elderly population cannot achieve a closed loop remotely.

[0004] In a first aspect, the present invention provides a remote digital health monitoring management method, comprising: Obtain various vital signs information of the subject through the health monitoring module; Receive the data of the health monitoring module through the intelligent gateway and upload it to the cloud server; AI models are used to classify health conditions and issue disease warnings based on health monitoring data, and the information is pushed to management terminals. The management terminal displays or outputs information based on data pushed by the cloud server.

[0005] In a second aspect, the present invention provides a computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the steps of the remote digital health monitoring management method as described above.

[0006] In a third aspect, the present invention provides a remote digital health monitoring and management device, comprising: one or more processors; Memory; and One or more computer programs, the processor and the memory are connected via a bus, wherein the one or more computer programs are stored in the memory and are configured to be executed by the one or more processors, characterized in that the processor implements the steps of the remote digital health monitoring management method as described above when executing the computer program.

[0007] In a fourth aspect, the present invention provides a remote digital health monitoring management system, comprising: Health monitoring module, used to obtain various vital signs information of the subject; Intelligent gateway, used to receive data from the health monitoring module and upload it to the cloud server; The cloud server is used to deploy AI models to classify the health of objects and prescribe diseases based on health monitoring data, and push them to the management terminal.

[0008] Management terminal, used to receive data pushed by the cloud server and display or output information.

[0009] The present invention obtains the health information of the object through a variety of health monitoring modules, and uploads the data to the cloud server after the intelligent gateway integrates the data. The AI ​​model performs health classification and disease prediction on the object based on the health monitoring data, and pushes it to the management terminal. The management terminal displays or outputs the information after receiving the pushed data, and establishes a remote digital health monitoring and management system to achieve linkage management of the elderly, their families, and doctors, effectively solving the current passive type of health maintenance process for the elderly, and realizing a closed loop of real-time perception of the elderly's health status and active risk control intervention. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 is a flow chart of remote digital health monitoring management provided by Embodiment 1 of the present invention; Figure 2 is a structural block diagram of a remote digital health monitoring management device provided in Embodiment 3 of the present invention; Figure 3 It is a structural diagram of a remote digital health monitoring management system provided in Embodiment 4 of the present invention. DETAILED DESCRIPTION

[0011] In order to make the purpose, technical solution and beneficial effects of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0012] In order to illustrate the technical solution of the present invention, a specific embodiment is provided below for illustration. Embodiment 1

[0013] See also Figure 1 The remote digital health monitoring management method 100 provided in the first embodiment of the present invention includes the following steps. It should be noted that if there are substantially the same results, the remote digital health monitoring management method of the present invention is not based on Figure 1 The process sequence shown is limited.

[0014] S101. Obtain various vital signs information of the subject through a health monitoring module, wherein the health monitoring module includes but is not limited to: The cardiovascular monitoring module uses a fiber optic sensor laid under the subject's mattress to monitor the subject's vibration information. After the vibration information is de-noised, filtered, and signal separated and extracted, the subject's heartbeat, breathing, and hemodynamic information are obtained. The fiber optic sensor is configured to passively and continuously acquire the subject's data, with power on 24 hours a day, and data collection begins as soon as the subject lies on it; The blood glucose monitoring module is used to obtain the blood glucose information of the subject. The subject needs to use it voluntarily. The blood glucose data is obtained after the finger is pricked and the blood glucose data is analyzed by the instrument. The blood glucose data can be obtained once a day. The blood pressure monitoring module is used to obtain the subject's blood pressure data. The blood pressure data needs to be obtained once in the morning and once in the evening. The subject uses a smart blood pressure monitor to monitor blood pressure on his own. The temperature and activity monitoring module is used to obtain the daily temperature and activity data of the subject. It is implemented using a smart bracelet. The user needs to wear it after getting up and take it off after going to bed. If you have the habit of taking a nap, you need to wear it again after waking up from the nap and take it off before going to bed at night. The smart bracelet can record the subject's activity data in real time, including walking time, sitting time, heart rate and other data. The temperature data is obtained once every morning, and then the temperature data of the subject is obtained again at predetermined intervals (for example, 2 hours). If the data is different from the last time, it will be recorded, otherwise it will not be recorded.

[0015] S102. Receive the data of the health monitoring module through the smart gateway and upload it to the cloud server. The smart gateway can adapt to IoT devices of different protocols and connect to the Internet, while providing a unified management and control interface, so that the data of health monitoring modules using different communication technologies (such as Wi-Fi, Bluetooth, 4G, etc.) can be uniformly forwarded, so that devices of different manufacturers and different models can communicate with each other, and the data during transmission can be encrypted and authenticated to ensure the security of data transmission. At the same time, the smart gateway can also monitor and manage the devices connected to it, and promptly detect and respond to network attacks.

[0016] S103, the cloud server uses an AI model to perform health classification and disease warning on the object based on health monitoring data, and pushes it to the management terminal. For example, machine learning algorithms and deep learning neural networks are used to process health monitoring data, identify abnormal data, and then predict potential disease risks. For example, the elderly population can be divided into elderly chronic diseases, elderly disability, elderly disability, etc. Management terminals include but are not limited to the following: doctor management terminals, which are used by the elderly's chief doctors (such as community doctors) to track the elderly's health data; family management terminals, which are used for the elderly's family members to receive health information about the elderly, as well as abnormal reminders or warnings, so that family members can know the elderly's information in time and assist doctors in completing medical orders; user terminals, such as smart bracelets, can be used for the elderly to receive information. For example, in the case of falls, the user terminal can receive cloud information feedback, and then send out alarms to help the elderly get help from people around them.

[0017] S104: The management terminal displays or outputs information based on the data pushed by the cloud server. For example, the health tracking information of the elderly is displayed on the family management terminal, the disease warning information is displayed on the doctor management terminal and waits for the doctor's confirmation, etc., and the distress information is output, such as the SOS distress call device, etc., which generates an alarm to attract the attention of others. Embodiment 2

[0018] Embodiment 2 of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the remote digital health monitoring management method provided in Embodiment 1 of the present invention are implemented. Embodiment 3

[0019] Embodiment 3 of the present invention provides a remote digital health monitoring and management device, Figure 2 Shown is a structural block diagram of a remote digital health monitoring and management device 200 .

[0020] For example, the remote digital health monitoring management device 200 may include a communication port 201 connected to a network connected thereto to facilitate data communication. The remote digital health monitoring management device 200 may also include a processor 203, which is in the form of one or more processors for executing computer instructions. The computer instructions may include, for example, routines, programs, objects, components, data structures, processes, modules, and functions for executing the remote digital health monitoring management method 100 described in the first embodiment of the present invention.

[0021] In some examples, the processor 203 may include one or more hardware processors, such as a microcontroller, a microprocessor, a reduced instruction set computer (RISC), an application-specific integrated circuit (ASIC), a graphics processing unit (GPU), a central processing unit (CPU), a digital signal processor (DSP), a field programmable gate array (FPGA), an advanced RISC machine (ARM), a programmable logic device (PLD), or the like, any circuit or processor capable of performing one or more functions, or any combination thereof.

[0022] The remote digital health monitoring management device 200 may include an internal communication bus 205 for communication within the system, a memory 207, configured to store data and instructions, and program instructions stored in other types of non-temporary storage media executed by the processor 203 in the memory 207. The method and / or process of the present application can be implemented as a program instruction. The remote digital health monitoring management device 200 also includes an input / output component 209, which is configured to support data input / output. For example, the test subject or other collection personnel can use an input device (such as a keyboard, a touch screen) to input some data to the remote digital health monitoring management device 200 through the input / output component 209, such as the age, gender, height, weight, etc. of the tester. The remote digital health monitoring management device 200 can also output data to an output device (such as a display, a printer, etc.) through the input / output component 209.

[0023] It should be understood that for the convenience of description, only one processor is described in the remote digital health monitoring management device 200 in this application. However, it should be noted that the remote digital health monitoring management device 200 in this application may also include multiple processors. Therefore, the operations and / or method steps disclosed in this application may be performed by one processor as described in this application, or may be performed jointly by multiple processors. For example, if the processor 203 of the remote digital health monitoring management device 200 in this application performs steps A and B, it should be understood that steps A and B may also be performed jointly or separately by two different processors in information processing (for example, the first processor performs step A, the second processor performs step B, or the first and second processors perform steps A and B together). Embodiment 4

[0024] Embodiment 4 of the present invention provides a remote digital health monitoring management system 300, including: The health monitoring module 301 is used to obtain various vital signs information of the subject; Intelligent gateway 302, used to receive data from the health monitoring module and upload it to the cloud server; The cloud server 303 is used to deploy AI models to perform health classification and disease prediction on objects based on health monitoring data, and push them to the management terminal.

[0025] The management terminal 304 is used to receive data pushed by the cloud server and display or output the information.

[0026] like Figure 3 The figure shows a schematic diagram of the structure of a remote digital health monitoring and management system 300. A remote digital health monitoring and management system 300 may include but is not limited to a health monitoring module 301, an intelligent gateway 302, a cloud server 303, and a management terminal 304. Among them, the health monitoring module 301 includes but is not limited to a cardiovascular monitoring module, a blood sugar monitoring module, a blood pressure monitoring module, a body temperature and activity monitoring module, etc. The management terminal 304 includes but is not limited to a doctor management terminal, a family management terminal, a user management terminal, etc. The management terminal 304 includes computers, mobile phones, tablets, bracelets, SOS call devices, glasses and other devices.

[0027] The present invention obtains the health information of the object through a variety of health monitoring modules, and uploads the data to the cloud server after the intelligent gateway integrates the data. The AI ​​model performs health classification and disease prediction on the object based on the health monitoring data, and pushes it to the management terminal. The management terminal displays or outputs the information after receiving the pushed data, and establishes a remote digital health monitoring and management system to achieve linkage management of the elderly, their families, and doctors, effectively solving the current passive type of health maintenance process for the elderly, and realizing a closed loop of real-time perception of the elderly's health status and active risk control intervention.

[0028] A person skilled in the art may understand that all or part of the steps in the various methods of the above embodiments may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, and the storage medium may include: a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk, etc.

[0029] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A remote digital health monitoring management method, characterized in that: The method comprises: Obtain various vital signs information of the subject through the health monitoring module; Receive the data of the health monitoring module through the intelligent gateway and upload it to the cloud server; AI models are used to classify health conditions and issue disease warnings based on health monitoring data, and the information is pushed to management terminals. The management terminal displays or outputs information based on data pushed by the cloud server.

2. The method according to claim 1, characterized in that The health monitoring module is one or more of a cardiovascular monitoring module, a blood sugar monitoring module, a blood pressure monitoring module, or a body temperature and activity monitoring module.

3. The method according to claim 2, characterized in that The cardiovascular monitoring module adopts an optical fiber sensor.

4. The method according to claim 1, characterized in that The management terminal is one or more of a doctor management terminal, a family management terminal, and a user management terminal.

5. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the remote digital health monitoring management method according to any one of claims 1 to 4 are implemented.

6. A remote digital health monitoring and management device, comprising: one or more processors; Memory; as well as One or more computer programs, the processor and the memory are connected via a bus, wherein the one or more computer programs are stored in the memory and are configured to be executed by the one or more processors, wherein the processor implements the steps of the remote digital health monitoring management method as described in any one of claims 1 to 4 when executing the computer program.

7. A remote digital health monitoring management system, comprising: Health monitoring module, used to obtain various vital signs information of the subject; Intelligent gateway, used to receive data from the health monitoring module and upload it to the cloud server; Cloud servers are used to deploy AI models to classify health and prescribe diseases for subjects based on health monitoring data, and push them to management terminals; Management terminal, used to receive data pushed by the cloud server and display or output information.

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