Determination of drug activity on pulmonary arterial hypertension using frequency-domain analysis of measured ECG signals

Electrocardiography (ECG) signals and the information obtained through the analysis of these signals constitute the main source of diagnosis of many cardiovascular system diseases. Pulmonary arterial hypertension (PAH) is a disease without any known treatment and causes failure in the right side of the heart and finally death. In this study, experimentally measured ECG signals were analyzed in frequency domain to observe the effects of PAH disease as well as medications used in the treatment of PAH on ECG main waves (P wave, T wave, QRS Complex). Wavelet transform based algorithms were used for filtering raw ECG signals and feature extraction phases. Then, for each main wave, fundamental frequency values, fundamental frequency amplitudes and the full width half maximum (FWHM) values of frequency spectrum were obtained and the changes of these parameters in disease and treatment situations were examined statistically.