A Comparative Approach to ECG Feature Extraction Methods
- Molaei-Vaneghi, F.
- Oladazimi, M.
- Shiman, F.
- Kordi, A.
- Safari, M.
- Ibrahim, F.
Publication date
February 2012
DOI Publisher
Institute of Electrical and Electronics Engineers (IEEE)Abstract
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
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