Research And Implementation Of Wireless Synchronization Acquisition System For Multi-channel Physiological Signals

Home-based portable medical monitoring system has played an important role for people to prevent disease and monitor the sudden illness. The traditional medical monitoring equipment have so many limitations such as high cost, large size, power consumption and the complexity of operation that it cannot apply to the family health care field, which should have the characteristics of wireless and personalized. The current multi-channel wireless sensor network-based health care system is still in the laboratory stage, the market has not yet molded products.Wireless sensor network is a hot research field of the current domestic and international engineering-oriented, wireless sensor networks for monitoring human physiological health is an important branch of them. Developing a multi-channel synchronous acquisition system for different physiological signals is essential and the wireless synchronized acquisition systems of Multi-channel physiological signals should has a high transmission speed. This study focuses on the above two subjects and designs a low-power synchronous acquisition system for ECG and PPG. The system consists of two separate ECG and pulse sensor nodes, as well as a smart phone based on Android system.The system has the characteristics of low-cost, low power, portable, personalized, etc. It can estimate blood pressure by means of combining separate ECG, PPG signal and personalized parameters. Those methods were used to blood pressure measurement by cuff-less. It avoids the uncomfortable brought by cuff.This system developed a kit of software by the method of Java multi-threaded based on Android operating system. It can control two separate sensor nodes synchronous sampling, thus extracting the feature of ECG and PPG to estimate the blood pressure.This thesis developed a simple method which combined the compensation of sampling frequency with the compensation of sampled data. The synchronous accuracy was up to99%, which laid the foundation to blood pressure estimation. The accuracy of heart rate and pulse rate for this system were99.06%and98.79%respectively. The blood pressure estimation results for this system meet the requirement of the AAMI standard recommended that the error cannot exceed5±8mmHg.