Design And Implementation Of A Wearable Physiological Parameter Detection System Based On Android

Cardiovascular diseases are the most common cause of human disability and death,accounting for more than 30 percent of all deaths globally each year.The detection and prevention of such diseases are becoming increasingly important.Most of the existing monitoring equipment in the hospital is bulky and complicated,which is not suitable for personal and family use.And long-term,dynamic monitoring of cardiovascular diseases is needed to reflect cardiovascular health.In this background,the system combines medical sensor technology,wearable technology,wireless communication technology and mobile Internet technology,designes wearable human physiological parameters detection system on Android platform,realizes the ecg,respiration,pulse,blood pressure and motion signal real-time dynamic monitoring,which has the great application value and social benefits.The system is divided into three parts: the wearable physiological parameter collection unit,the central control unit,and the Android client human-computer interaction unit.This system uses analog front-end chip ADS1292 R to collect ECG and respiratory signals,finger clamp pulse sensor to collect pulse signals,and MPU6050six-axis motion sensor to detect motion state signals.The system uses STM32F407ZGT6 chip as the central controller to analyze and process the parameters collected by each module.Baseline drift and EMG interference noise will be introduced in the collection of ECG signals.The 6-scale wavelet decomposition and threshold denoising are used to filter the EMG interference.The phase-free IIR high-pass filter is used to remove the baseline drift of ECG and respiratory signals.The system calculated the non-invasive blood pressure according to the peak value of ECG signal and pulse signal peak conduction time difference(PWTT)algorithm.The system designs the fall algorithm to judge whether the user falls.Finally,the microprocessor will send the analysis and processing results to the Android phone through the Bluetooth module.On the Android mobile terminal,the "Health Monitoring Manager" mobile app was written using Java language to provide users with a series of intelligent services.The first is to use SQLite database to store the physiological parameter data of the lower computer received by Bluetooth and the basic information of the user.The second is to draw three kinds of signal waveform of ECG,respiration and pulse,display the heart rate,respiration rate,pulse rate and blood pressure values,and threshold alarm and fall prompt.The third is to compare and analyze the actual test data with the normal physiological data,to realize the comprehensive health analysis of the test results of users,and to provide relevant medical information inquiry and online consultation of relevant doctors and other functions.Fourthly,the data warehouse was created on the Sina cloud platform,which realized the cloud storage of various physiological parameters,and laid a foundation for professional doctors’ diagnosis and treatment and cloud medical treatment.This system realizes the wearable detection of physiological parameters,which has the advantages of accurate real-time,dynamic monitoring,simple operation and intelligence.It can simultaneously detect ECG,respiration,pulse,blood pressure,exercise state and other physiological parameters,so as to realize long-term real-time monitoring of the health status of patients with cardiovascular diseases and other chronic diseases.The system parameter detection errors are: heart rate ≤±2 times/min,respiratory rate ≤±2 times/min,pulse rate ≤±2 times/min,blood pressure ≤±5mm Hg.