ECG De-noising Based on Translation Invariant Wavelet Transform and Overlapping Group Shrinkage
Electrocardiogram (ECG) signal plays an important role in the diagnosis of cardiovascular disease. However, ECG signal is very faint and always affected by a variety of noise in the process of collecting. How to eliminate the noise effectively is an important issue and has been widely studied for ma...
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doaj-34e0564f7e3d4c8a84086b098c6c9bb12020-11-25T02:47:34ZengIFSA Publishing, S.L.Sensors & Transducers2306-85151726-54792014-08-0117785462ECG De-noising Based on Translation Invariant Wavelet Transform and Overlapping Group ShrinkageZhidong Zhao0Mengjiao Lv1Xiaohong Zhang2Jiayou Du3Min Zheng4Department of Electronics and Information, Hangzhou Dianzi University, 310018, China Department of Telecommunication Engineering, Hangzhou Dianzi University, 310018, China Department of Electronics and Information, Hangzhou Dianzi University, 310018, China Department of Electronics and Information, Hangzhou Dianzi University, 310018, China Department of Mechanical and Electrical Information, Yiwu Industrial & Commercial College, 322000, ChinaElectrocardiogram (ECG) signal plays an important role in the diagnosis of cardiovascular disease. However, ECG signal is very faint and always affected by a variety of noise in the process of collecting. How to eliminate the noise effectively is an important issue and has been widely studied for many years. In this paper, we propose a new ECG de-noising method based on translation invariant (TI) wavelet transform and overlapping group shrinkage (OGS). The OGS is a new thresholding function, which is especially suitable for processing the large-amplitude coefficients form groups. The proposed method is tested on white Gaussian noise added the analog signals and ECG signals. Signal to Noise Ratio (SNR) and Root Mean Square Error (RMSE) are used to compare the performance of the proposed method with other de-noising methods. The experimental results indicate that the proposed de-noising method is the best in aspects of the improvement of SNR and remaining the geometrical characteristics of the ECG signals.http://www.sensorsportal.com/HTML/DIGEST/august_2014/Vol_177/P_2307.pdfECGWavelet transformTranslation invariantOGSDe-noising. |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Zhidong Zhao Mengjiao Lv Xiaohong Zhang Jiayou Du Min Zheng |
spellingShingle |
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 ECG Wavelet transform Translation invariant OGS De-noising. |
author_facet |
Zhidong Zhao Mengjiao Lv Xiaohong Zhang Jiayou Du Min Zheng |
author_sort |
Zhidong Zhao |
title |
ECG De-noising Based on Translation Invariant Wavelet Transform and Overlapping Group Shrinkage |
title_short |
ECG De-noising Based on Translation Invariant Wavelet Transform and Overlapping Group Shrinkage |
title_full |
ECG De-noising Based on Translation Invariant Wavelet Transform and Overlapping Group Shrinkage |
title_fullStr |
ECG De-noising Based on Translation Invariant Wavelet Transform and Overlapping Group Shrinkage |
title_full_unstemmed |
ECG De-noising Based on Translation Invariant Wavelet Transform and Overlapping Group Shrinkage |
title_sort |
ecg de-noising based on translation invariant wavelet transform and overlapping group shrinkage |
publisher |
IFSA Publishing, S.L. |
series |
Sensors & Transducers |
issn |
2306-8515 1726-5479 |
publishDate |
2014-08-01 |
description |
Electrocardiogram (ECG) signal plays an important role in the diagnosis of cardiovascular disease. However, ECG signal is very faint and always affected by a variety of noise in the process of collecting. How to eliminate the noise effectively is an important issue and has been widely studied for many years. In this paper, we propose a new ECG de-noising method based on translation invariant (TI) wavelet transform and overlapping group shrinkage (OGS). The OGS is a new thresholding function, which is especially suitable for processing the large-amplitude coefficients form groups. The proposed method is tested on white Gaussian noise added the analog signals and ECG signals. Signal to Noise Ratio (SNR) and Root Mean Square Error (RMSE) are used to compare the performance of the proposed method with other de-noising methods. The experimental results indicate that the proposed de-noising method is the best in aspects of the improvement of SNR and remaining the geometrical characteristics of the ECG signals. |
topic |
ECG Wavelet transform Translation invariant OGS De-noising. |
url |
http://www.sensorsportal.com/HTML/DIGEST/august_2014/Vol_177/P_2307.pdf |
work_keys_str_mv |
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