| Autor: |
Vaneghi, Fatemeh Molaei, Oladazimi, Maysam, Shiman, F., Kordi, Afshan, Safari, M.J., Ibrahim, F. |
| Zdroj: |
2012 Third International Conference on Intelligent Systems Modelling & Simulation; 1/ 1/2012, p252-256, 5p |
| Abstrakt: |
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. [ABSTRACT FROM PUBLISHER] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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