ECG signals classification based on discrete wavelet transform, time domain and frequency domain features

The heart is the most vital organ in the human body. Without it, the body becomes lifeless since its function is to pump oxygenated and deoxygenated blood throughout the whole body. Heart disease has becoming the primary cause of death. ECG signal is commonly used to detect heart diseases. The ECG signal is initially in the time domain formed. In this paper, the fast Fourier transform and discrete wavelet transform were used to transform ECG signals in order to get significant features to be compared with features directly acquired from time domain ECG signal analysis. The time domain ECG input signals were taken from the Physionet website. Then, the signals were changed into frequency domain using FFT and DWT was applied to the ECG signal for Discrete Wavelet Transform analysis. The features found from these three domains were analyzed and compared.