Android-based Multiple Physiological Signal Acquisition And Processing System

In order to make a more accurate diagnosis of disease, the acquisition and analysis of physiological signal generally requires a long sustained period of time to get more comprehensive data. In the early methods, patients must go to the hospital for medical examination, but usually the data can’t reflect the potential health problems due to inadequate data acquisition time and unchanged scene of detection. The development of mobile Internet technology and portable medical equipment puts forward new ideas to solve this problem. The mobile health care system, which is based on mobile-side data acquisition, network transmission, server-side storage, analysis and processing, has become the focus of research and greatly improve the medical level and efficiency of social care system.This design, based on EEG, ECG, SpO2, movement acceleration signal, is a preliminary practice for mobile health system, shows the convenience and efficiency of mHealth. It mainly includes three aspects of research and design:(1) Designs the ECG acquisition module hardware to collect original ECG data. Operates the ThinkGear AM EEG acquisition module to parse out the original and subband of EEG data. Operates SpO2 acquisition module to get the SpO2 data and display the pulse wave. Use the three-dimensional acceleration sensors built-in android smart phone to simultaneously collect acceleration signal, which provides movement state references for the analysis of other physiological signal.(2) Integrates the operations of each signal acquisition module to build Android client in which completes software preprocessing for ECG data, filters out industrial frequency interference, baseline wander and EMG interference, implements heart rate detection algorithm and movement intensity estimation algorithm. The client has the ability to communicate with the remote server, upload data to the server and access server-side processed results.(3) Establishes the LAMP architecture server based on the cloud host, responsible for interacting with the client, to provide data storage, analysis, and download capabilities, at the same time, the server provides web loading approach to show the user’s data in the form of Web pages.