A lifting double-wavelet algorithm for ECG signal denoising - Details

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Wang, C.-Y. (Wang, C.-Y..) ^[1] | Huang, D.-J. (Huang, D.-J..) ^[2] | Xie, X.-Q. (Xie, X.-Q..) ^[3] | Zhang, Y.-P. (Zhang, Y.-P..) ^[4] | Wang, L.-H. (Wang, L.-H..) ^[5]

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Abstract：

This　paper　introduces　a　lifting　double-wavelet　algorithm　for　electrocardiogram　signal　denoising　by　using　the　improved　threshold　function　in　the　lifting　wavelet　decomposition　to　deal　with　wavelet　coefficients.　The　results,　based　on　data　from　MIT-BIT　arrhythmia　database,　show　that　noise　can　be　eliminated　effectively　with　lower　distortion　and　higher　signal-to-noise　ratio　compared　with　the　single　wavelet　thresholding　method.　The　algorithm　is　also　highly　suitable　in　real-time　signal　processing　systems　and　wearable　medical　devices.　©　2016　IEEE.

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[ 1 ] [Wang, C.-Y.]Department of Microelectronics, College of Physics and Information Engineering, Fuzhou University, Fuzhou, China
[ 2 ] [Huang, D.-J.]Fujian Vocational College of Bioengineering, Fuzhou, China
[ 3 ] [Xie, X.-Q.]Department of Microelectronics, College of Physics and Information Engineering, Fuzhou University, Fuzhou, China
[ 4 ] [Zhang, Y.-P.]Department of Microelectronics, College of Physics and Information Engineering, Fuzhou University, Fuzhou, China
[ 5 ] [Wang, L.-H.]Department of Microelectronics, College of Physics and Information Engineering, Fuzhou University, Fuzhou, China

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2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016

Year： 2016

Language： English

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SCOPUS Cited Count： 4

ESI Highly Cited Papers on the List： 0 Unfold All

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30 Days PV： 1

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