Determination of Drug Activity on Pulmonary Arterial Hypertension using Time Domain Parameters of ECG

Electrocardiography (ECG) signals and the information obtained from the analysis of these signals are the main source of information in determination of numerous cardiovascular system diseases. Pulmonary arterial hypertension (PAH) is a progressive disease of the pulmonary vasculature which results failure in the right side of heart and finally death. In this study, experimentally measured ECG signals were analyzed in computer environment for determination of the effect of PAH disease and its possible treatments on ECG signal’s main waves (P wave, QRS complex and T wave). Wavelet transform based computer algorithms were developed for both filtering the raw signals and feature extraction. Finally, determined main wave amplitudes and durations were statistically analyzed and obtained results were discussed.