Estimation and analysis of cardiovascular parameters using electrocardiograph and photoplethysmograph signals

Abstract

In modern world demands to improve the living styles cause most people not to be concerned about their health However the awareness about the risk of high blood pressure is essential to people The biggest known cause of disability and premature death is through stroke heart attack and heart disease Medical doctors recommend a regular self monitoring of blood pressure and pulse rate to make sure of the necessity to control the blood pressure and prevent it from taking the shape of either hypertension or hypotension Most of the blood pressure measuring devices nowadays rely on a common concept of inflatable cuff to the arm which is based on auscultotary newlineor oscillometry principle These conventional blood pressure meters based on cuff are considered to be inconvenient for daily monitoring and these are very sensitive to artifacts due to the presence of cuff By having a cuff the efficiency of the device will be reduced in terms power consumption restriction of frequency and also ease of use This research aims to design a noninvasive cuff less cardiovascular parameters estimation system based on pulse transit time technique using wavelets This work presents a novel algorithm for denoising the highly non stationary ECG and PPG signals and finding out pulse rate heart rate and Blood pressure using discrete wavelet transform in MATLAB and LabVIEW Since PTT is inversely proportional to blood pressure important parameters of cardiology such as pulse rate heart rate and blood pressure can be easily measured at a time from ECG and PPG signals that can continuously newlinemonitor the health of an individual with a cardiac disorder Although BP is a function of PTT more study is required to increase the accuracy newline newline newline