Design And Implementation Of Software System For Self-health Monitor

The rapid pace of modern life and work,high pressure,unreasonable diet structure,lack of exercise and other factors make health problems frequent.Meanwhile,with the continuous improvement of human living standards,health awareness is increasing.People urgently need regular health monitoring to observe and evaluate their self-condition.The software system of self-health monitor is designed by LabVIEW to read the records of ECG,blood sugar,blood pressure,pulse and body temperature collected through its hardware transporting via serial port,so that users can log on to the self-health monitoring system through the name password.The monitoring results include value and partial waveform displaying of ECG,blood pressure,blood sugar,pulse and temperature,historical trend,threshold alarm and health advice.Because ECG signal is complex and contains abundant information,it is an important basis for the diagnosis of cardiovascular diseases.Therefore,the denoising effect of ECG signal with different noise intensity is emphatically analyzed.Among them,unbiased likelihood estimation threshold is used to denoising according to the first level coefficient of wavelet decomposition to estimate the noise level.At the same time,Normal Sinus Rhythm,Atrial Fibrillation,CU Ventricular Tachyarrhythmia and BIDMC Congestive Heart Failure,the four kinds of ECG signal's time-frequency domain characteristics and R-wave location are analyzed.The diagnosis of RR interval,heart rate count,tachycardia and bradycardia is complited.The sensitivity and positive predictive rate of R wave localization can reach 99.92% and 99.93% respectively,The detection accuracy of the system is as follows: heart rate?±5bpm,blood pressure?±5mmHg,blood glucose?±0.3mmol/L,pulse rate?±5bpm,body temperature?±0.2??The system convenient for the user to continuously monitor the physiological parameters of the body,providing the reference for the doctor's disease diagnosis.