This paper discusses six most frequent methods
used to extract different features in Electrocardiograph (ECG)
signals namely Autoregressive (AR), Wavelet Transform (WT),
Eigenvector, Fast Fourier Transform (FFT), Linear Prediction
(LP), and Independent Component Analysis (ICA). The study
reveals that Eigenvector method gives better performance in
frequency domain for the ECG feature extraction.
