A wearable device for health management detection of multiple physiological parameters based on ZigBee wireless networks

Detecting physiological signals in the daily life of the population can effectively grasp the health status of the people in the area, and provide an important reference for the diagnosis and prevention of chronic diseases. This paper demonstrates that ZigBee technology meets the requirements of this system. A wireless sensor network system of human physiological parameters based on Zig Bee protocol is built. This wearable device consists of smart hardware and wearables. Intelligent hardware consists of multiple physiological signal detection modules and core processing platforms, and is mainly responsible for the collection and signal processing of multiple physiological signals. Based on the system platform, the entire system was tested for joint debugging. The system's wireless transmission stability and power consumption were tested, and various physiological parameters and motion signals were collected and tested. The test results verify the effectiveness of this system.