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2009 International Joint Conference on Computational Sciences and Optimization
An Improved Algorithm Based on EMD-Wavelet for ECG Signal De-noising
Sanya, Hainan, China
April 24-April 26
ISBN: 978-0-7695-3605-7
| ASCII Text | x | ||
| Nianqiang Li, Ping Li, "An Improved Algorithm Based on EMD-Wavelet for ECG Signal De-noising," 2012 Fifth International Joint Conference on Computational Sciences and Optimization, vol. 1, pp. 825-827, 2009 International Joint Conference on Computational Sciences and Optimization, 2009. | |||
| BibTex | x | ||
| @article{ 10.1109/CSO.2009.178, author = {Nianqiang Li and Ping Li}, title = {An Improved Algorithm Based on EMD-Wavelet for ECG Signal De-noising}, journal ={2012 Fifth International Joint Conference on Computational Sciences and Optimization}, volume = {1}, year = {2009}, isbn = {978-0-7695-3605-7}, pages = {825-827}, doi = {http://doi.ieeecomputersociety.org/10.1109/CSO.2009.178}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - 2012 Fifth International Joint Conference on Computational Sciences and Optimization TI - An Improved Algorithm Based on EMD-Wavelet for ECG Signal De-noising SN - 978-0-7695-3605-7 SP825 EP827 A1 - Nianqiang Li, A1 - Ping Li, PY - 2009 KW - ECG signal KW - EMD-Wavelet KW - EMD KW - wavelet adaptive threshold VL - 1 JA - 2012 Fifth International Joint Conference on Computational Sciences and Optimization ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSO.2009.178
In this paper we present an improved algorithm based on EMD-Wavelet for ECG(electrocardiogram) signal de-noising. This method has the advantages of both EMD (Empirical Mode Decomposition) and wavelet adaptive thresholding algorithm for the actual gathering ECG signal de-noising. It utilizes the adaptability of EMD to make up the indetermination when choosing wavelet function, and then uses wavelet adaptive thresholding to prevent the distortion of EMD algorithm. We take MATLAB as simulation platform to compare the three algorithms from simulation figure, SNR and MSE. The results show that this improved EMD-Wavelet algorithm is efficient and stable in ECG signal de-noising.
Index Terms:
ECG signal, EMD-Wavelet, EMD, wavelet adaptive threshold
Citation:
Nianqiang Li, Ping Li, "An Improved Algorithm Based on EMD-Wavelet for ECG Signal De-noising," cso, vol. 1, pp.825-827, 2009 International Joint Conference on Computational Sciences and Optimization, 2009
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