Electrocardiography signal denoising using translation invariant wavelet threshold algorithm
Email:
xuanthieu@utc.edu.vn
Keywords:
Denoising, artifacts, translation invariant.
Abstract
. Electrocardiography (ECG) signal processing using wavelet transform has been effectively performed in medical diagnostics. The electrocardiography signal processing basically consists of noise reduction and separation of features to detect waves, peaks, and heart rate calculations. Traditional signal processing methods often use a discrete wavelet transform (DWT). However, the DWT probably generates artifacts, distorting the signal form. The paper proposes a translation invariant wavelet threshold algorithm based ontranslation invariant discrete wavelet transform (TIDWT) to reject the disturbance of ECG signals and to eliminate the generated noise caused by signal transformation, improving noise reduction efficiency. The performance of the proposed algorithm will be evaluated by simulation on the graph and calculating the signal to noise ratio (SNR).References
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[3]. Savita Chandel, Kuldeep Singh, ECG denoising using wavelet transform and soft thresholding, International Journal of Advanced Research in Computer Science and Software Engineering, 6 (2016) 370.
[4]. Zhidong Zhao, Mengjiao Lv, Xiaohong Zhang, Jiayou Du, Min Zheng. ECG De-noising Based on Translation Invariant Wavelet Transform and Overlapping Group Shrinkage, Sensors & Transducers, 177 (2014) 54-62.
[2]. Mounaim Aqil, Atman Jbari, Abdennasser Bourouhou, ECG signal Denoising by Discrete Wavelet Transform, International Journal of Online and Biomedical Engineering, 13 (2017) 51-68. https://doi.org/10.3991/ijoe.v13i09.7159
[3]. Savita Chandel, Kuldeep Singh, ECG denoising using wavelet transform and soft thresholding, International Journal of Advanced Research in Computer Science and Software Engineering, 6 (2016) 370.
[4]. Zhidong Zhao, Mengjiao Lv, Xiaohong Zhang, Jiayou Du, Min Zheng. ECG De-noising Based on Translation Invariant Wavelet Transform and Overlapping Group Shrinkage, Sensors & Transducers, 177 (2014) 54-62.
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Received
14/03/2019
Revised
20/06/2019
Accepted
28/06/2019
Published
16/09/2019
Type
Research Article
How to Cite
Đỗ Xuân, T. (1568566800). Electrocardiography signal denoising using translation invariant wavelet threshold algorithm. Transport and Communications Science Journal, 70(1), 11-20. https://doi.org/10.25073/tcsj.70.1.39
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