Full-integrated sweat parameter monitoring and analyzing system

Abstract

The invention relates to a full-integrated sweat parameter monitoring and analyzing system, which includes a background analysis system and a collection terminal. The collection terminal includes: a power supply module, a main control board MCU, a communication module, a sweat extraction insulation module, a display screen, a clock control module, buttons, a J-link interface, a glucose sensor, a sodium ion sensor, a potassium ion sensor, and a temperature sensor, wherein the glucose sensor, the sodium ion sensor, the potassium ion sensor and the temperature sensor are respectively connected bidirectionally and electrically to the sweat extraction insulation module. The system can acquire health data by real-time detection on sweat in a noninvasive manner and displays the data on the collection terminal and sends the data to the background analysis system for performing big data statistics and analysis, thus supplying clinical evidence to influence of different parameters in different human body environments.

Description

Technical field [0001] The invention relates to the fields of smart wear, health detection, and big data analysis, in particular to a fully integrated sweat parameter monitoring and analysis system. Background technique [0002] With the popularization of wearable products and the increasing requirements of people for health monitoring, in addition to general physical activities and vital signs health monitoring can not meet people's needs, especially for patients with a certain type of disease to monitor a certain indicator: 1. Chlorine Resignation: The concentration of chloride ions in sweat is an important method for diagnosing cystic fibrosis. 2. Sodium ion: can be used to monitor the dehydration status of the human body. 3. Glucose: can be used to monitor blood glucose concentration. Sweat extraction physiological parameters is a non-invasive detection method. It is possible to obtain detection data in real time, so as to conduct large-scale clinical research and big data ...

AI Technical Summary

Problems solved by technology

[0003] However, the existing technology has the following shortcomings: 1. General wearable products only involve physical activities and vital signs, and cannot obtain physiological health monitoring

2. Sweat is not used as a sample to extract physiological parameters, but body fluids or blood are used for testing, which cannot be non-invasive and non-invasive, because it cannot be used on a large scale by the general public, because it cannot be analyzed by big data

3. The timeliness experience is not good: because intrusive detection generally requires background instrument analysis, it is impossible to provide real-time feedback data to the monitoring object

4. There is no real-time correction. Generally, the data of human body sensors is inaccurate and has a greater impact on environmental factors. For example, the measured value of the glucose sensor has a greater relationship with temperature

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