Estimation of cardiovascular parameters from ECG and PPG signals

Most of the blood pressure measuring devices nowadays rely on a common concept of inflatable cuff to the arm which is based on auscultotary or 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 work aimed at designing a noninvasive cuff-less cardiovascular parameters estimation system based on pulse transit time (PTT) technique using wavelets. This article presents a novel algorithm and its real time implementation details for denoising highly non stationary ECG and PPG signals and finding out pulse rate, Total cardiac cycle and Blood pressure using discrete wavelet transform (DWT) in LabVIEW. Since PTT is inversely proportional to blood pressure, important parameters of cardiology i.e. Pulse rate, total cardiac cycle and Blood pressure can be easily measured at a time from ECG and PPG signals that can continuously monitor the health of an individual with a cardiac disorder.