TY - GEN
T1 - Optimal selection of wavelet thresholding algorithm for ECG signal denoising
AU - Isa, Sani M.
AU - Noviyanto, Ary
AU - Arymurthy, Aniati Murni
PY - 2011
Y1 - 2011
N2 - In this paper we examine denoising performance of four wavelet thresholding algorithms i.e., Universal, Rigrous SURE, Minimax with hard and soft threshold, and Neighbourhood based threshold on synthetic and real ECG signal. We apply the Stationary Wavelet Transform to decompose ECG signal into wavelet domain. Performance analysis was performed by evaluating Mean Square Error (MSE) and visual inspection over the denoised signal from each algorithm. The experimental result shows that Universal hard thresholding gives the best denoising performance on synthetic ECG signal. This result is consistent with the experiment on real ECG signal. The result shows that soft threshold not always gives better denoising performance; it depends on which wavelet thresholding algorithm was choosen. The use of Neighbourhood based thresholding on synthetic and real ECG signal shows over smooth denoised signal.
AB - In this paper we examine denoising performance of four wavelet thresholding algorithms i.e., Universal, Rigrous SURE, Minimax with hard and soft threshold, and Neighbourhood based threshold on synthetic and real ECG signal. We apply the Stationary Wavelet Transform to decompose ECG signal into wavelet domain. Performance analysis was performed by evaluating Mean Square Error (MSE) and visual inspection over the denoised signal from each algorithm. The experimental result shows that Universal hard thresholding gives the best denoising performance on synthetic ECG signal. This result is consistent with the experiment on real ECG signal. The result shows that soft threshold not always gives better denoising performance; it depends on which wavelet thresholding algorithm was choosen. The use of Neighbourhood based thresholding on synthetic and real ECG signal shows over smooth denoised signal.
UR - http://www.scopus.com/inward/record.url?scp=84857332066&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84857332066
SN - 9789791421119
T3 - ICACSIS 2011 - 2011 International Conference on Advanced Computer Science and Information Systems, Proceedings
SP - 365
EP - 370
BT - ICACSIS 2011 - 2011 International Conference on Advanced Computer Science and Information Systems, Proceedings
T2 - 2011 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2011
Y2 - 17 December 2011 through 18 December 2011
ER -