Feature extraction of ECG signals for early detection of heart arrhythmia

Abstract: In today’s world, irrespective of age, cardiac arrhythmia (heart abnormalities) is common among people, which must be detected and treated at the very earliest stage. Electrocardiograph (ECG) plays a vital role in detecting various cardiac arrhythmias. ECG waveform provides entire information about the electrical activity of the heart. In this paper, we are mainly focusing on the primary attributes P, Q, R, S, T, their segments and intervals of ECG Signals. Walsh-Hadamard transformation (WHT) and Fast Fourier Transformation (FFT) are performed to extract the required features from ECG signal.

Keywords: ECG signals, Feature Extraction, FFT, WHT, and Classification.