Sub-health monitoring system based on pulse condition elements

Abstract

According to the sub-health monitoring system based on the pulse condition elements, the system collects pulse condition parameters in real time by wearing a wearable device by a user, and real-time monitoring of the health state is achieved; the traditional Chinese medicine pulse condition theory is combined, the change of user health indexes is judged according to user pulse condition parameter variation, and sub-health early warning is achieved; and a targeted conditioning scheme is given according to the sub-health state of the user, so that sub-health is prevented, the health condition of the user is improved, and the life quality is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of sub-health monitoring and traditional Chinese medicine diagnosis, and in particular to a sub-health monitoring system based on pulse elements. The system collects pulse parameters through wearable devices, combines traditional Chinese medicine pulse theory, realizes real-time monitoring of health status and early warning of sub-health, and provides corresponding conditioning plans. Background Art

[0002] With the acceleration of the pace of modern life, sub-health status is becoming more and more common among the population. Sub-health status (belonging to the category of not being sick) often has no obvious clinical symptoms, but long-term neglect may lead to serious health problems. Changes in pulse can be regarded as a signal sent by the body entering sub-health. Pulse diagnosis in traditional Chinese medicine can not only diagnose diseases but also judge sub-health status. Pulse diagnosis in traditional Chinese medicine requires professional physicians with many years of clinical experience to perform, and it is difficult to serve the vast number of sub-healthy people if it is based entirely on experience. Therefore, developing a system that can monitor pulse in real time and judge sub-health based on pulse parameters is of great significance for preventing sub-health and improving people's quality of life. Summary of the invention

[0003] The object of the present invention is to provide a sub-health monitoring system based on pulse elements.

[0004] The system architecture adopts a modular design, including four main parts: hardware layer 0005, data layer 0010, analysis layer 0013 and application layer 0020.

[0005] The hardware layer is mainly composed of wearable devices, including sensor module 0006, microprocessor 0007, and wireless communication module 0008.

[0006] The sensor module is used to collect pulse parameters, such as photoelectric sensors for monitoring pulse waveform and rate, and pressure sensors for measuring pulse strength.

[0007] The microprocessor is responsible for the initial processing of the data.

[0008] The data is transmitted to the data layer through the wireless communication module.

[0009] The system collects pulse parameters through wearable devices.

[0010] The data layer is responsible for receiving, storing and managing pulse parameter data.

[0011] The data layer uses efficient data storage technology to ensure data security and reliability.

[0012] The data layer also provides data preprocessing functions, such as data cleaning and denoising, to improve the accuracy of subsequent analysis.

[0013] The analysis layer is the core part of the system, including the data processing module 0014, the pulse comparison module 0015 and the early warning and conditioning plan generation module 0016.

[0014] The data processing module uses statistics and machine learning algorithms to conduct in-depth analysis of pulse parameters and establish a health reference index database. The pulse parameters under a certain period of statistical analysis in a healthy state are health reference indicators.

[0015] The pulse comparison module compares and analyzes the real-time pulse with health reference indicators to determine the user's health status.

[0016] The early warning and conditioning plan generation module compares the degree of variation between the real-time pulse and the healthy reference pulse based on the comparison results and combines them with traditional Chinese medicine pulse theory to judge the user's physical health status and provide a conditioning plan based on the sub-health status.

[0017] The application layer is the interface for interaction between the system and the user, including functions such as user management, data display, early warning prompts, and conditioning plan display.

[0018] The application layer also provides a user feedback function, where users can provide feedback to the system based on the results of the conditioning plan after execution, so that the system can continuously optimize the generation algorithm of the conditioning plan. Implementation

[0019] A sub-health monitoring system based on pulse elements adopts the following technical solutions:

[0020] In actual applications, the user wears the wearable device, which collects the user's pulse parameters (including but not limited to pulse rate, pulse waveform, pulse strength, pulse morphology, etc.) in real time and transmits them to the data processing module.

[0021] Wearable devices can be designed in the form of bracelets, watches, anklets, chest patches, etc., which are convenient for users to wear.

[0022] The data processing module receives the pulse parameters collected by the wearable device and performs preprocessing and statistical analysis. The module can set the pulse parameters under a certain period (such as a week, a month, etc.) of health status as health reference indicators and establish a health reference indicator database.

[0023] Combined with the pulse theory of traditional Chinese medicine, the pulse comparison module compares the real-time collected pulse parameters with the health reference indicators and calculates the variation value. According to the size and trend of the variation value, the user's sub-health condition is judged. When the variation value exceeds the preset threshold, the early warning and conditioning plan generation module sends out an early warning signal and generates a conditioning plan for the user's reference.

[0024] Early warning and conditioning plan generation module: When the system determines that the user is in the early stage of sub-health, it will send out an early warning signal and generate a targeted conditioning plan through an algorithm. The conditioning plan can include dietary suggestions, exercise suggestions, work and rest suggestions, etc., aiming to help users improve their sub-health status.

[0025] Users can check their pulse parameters, health status, warning information and conditioning plans through mobile APP or webpage. The system has functions such as user management, data display, warning prompts and conditioning plan display.

[0026] The system provides a user feedback function, and users can provide feedback to the system based on the results of the conditioning plan after execution, so that the system can continuously optimize the generation algorithm of the conditioning plan. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 This is a system architecture diagram of the present invention.

Claims

1. A sub-health monitoring system based on pulse elements, characterized in that The user's sub-health status is judged based on the changes in the user's pulse parameters, and a sub-health improvement plan is provided to the user.

2. According to claim 1, the system is characterized in that it adopts a modular design, including four parts: hardware layer, data layer, analysis layer and application layer.

3. According to claim 2, the sensor module, microprocessor, wireless communication module, etc. constitute the hardware layer of wearable devices. Wearable devices include but are not limited to wristbands, finger rings, watches, anklets, chest patches, headbands, and collars.

4. According to claim 3, the collected data includes pulse data but is not limited to pulse data and also includes body temperature, blood pressure, blood oxygen and other data.

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