Designing and Implementing a Terminal Platform to Manage and Detect the Health of Exercise Parameters Based on Internet Objects

Abstract

In order to realize the research on vital signs monitoring based on the Internet of things, in view of the urgent needs for mobile health and universal medical treatment in China, this paper puts forward the platform design and implementation of exercise parameter health management and detection terminal based on the Internet of things. Firstly, the overall architecture of the exercise heart rate monitoring system is designed, and the design of the heart rate acquisition module is also put forward, in order to monitor human heart rate data conveniently, quickly, and in real time, considering the portability and low power consumption of the system, a wearable heart rate real-time monitoring system is designed in this paper. The experimental results show that the maximum individual average heart rate difference is 4.11 bpm and the overall average heart rate difference is 2.24 bpm. After processing with the adaptive hybrid filtering algorithm, the maximum individual average heart rate difference is 0.69 bpm, and the overall average heart rate difference is 0.42 bpm. The average standard deviation of the difference between the 10 groups of measured values and reference values with and without the filtering algorithm is 0.304 and 2.788, respectively, which is about 9 times higher. The accuracy and stability of the filtering algorithm are greatly improved. The whole system can run well and can be applied to practical sports training guidance.