Research On ECG And Heart Sound Signal Detection System

Heart disease has been one of the clinical medical problems to human health in the world.Atpresent the medical clinical method for such diseases includigng the ECG and PCG.As somedifferent functions to technology diagnostics the electrocardiogram can effectively detect thecardiovascular physiological diseases but lack of cardiac malformations judgement.While thephonocardiogram has the obvious advantage through the sound of the heart to predict cardiactissue deformation related diseases.Therefore,a research scheme of embedded system based onthe advantages and disadvantages for ECG and PCG.At first,this paper puts forward Easy-Cortex-M3-1300development platform with the corecontrol chip LPC134of hard software design scheme of embedded technology was applied to thephysiological signal processing system,which can achieve the blend of the biological medicalengineering technology and embedded system.The extraction and recognition algorithm proposing wavelet transform and BP neuralnetwork method for ECG and PCG signal has strong ability of anti-jamming extension and othersignificant advantages to improve the system stability and identification of heart sound signalcharacteristics.Independent modular design has good stability and expansibility and facilitate the systemupgrades for hardware and software.Choosing the integrated development environment KeiluVision4with the powerful software simulation debugging tools to compile and debug system.This article is based on the embedded system of ECG and PCG meeting the expected targetto predict cardiac malformation and atrioventricular valve damage analysis.Biomedical andembedded technology combined with the application method of human physiological signalsprovides a newplatform and direction for the development of intelligent technology.