ECG baseline wander correction by mean-median filter and discrete wavelet transform

Weituo Hao; Yu Chen; Yi Xin

doi:10.1109/IEMBS.2011.6090744

ECG baseline wander correction by mean-median filter and discrete wavelet transform

Weituo Hao^*, Yu Chen, Yi Xin

^*Corresponding author for this work

School of Medical and Technology

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

37 Citations (Scopus)

Abstract

Electrocardiographic (ECG) analysis plays an important role in diagnosis of heart diseases. High quality ECG pushes forward new drug development and improves clinical diagnosis. This paper introduces a novel method to correct baseline wander (BW) components of ECG signals based on Mean-Median (MEM) filter and discrete wavelet transform (DWT). We obtain the BW estimation via MEM, and decompose the estimation into different scales by DWT. Then, an iterative sifting process based on t-test is adopted to select the scales to reconstruct the refined BW components. The proposed method is applied to MIT-BIH Arrhythmia Database. The experimental results verify that the proposed method can effectively remove BW components and preserve useful waveform information.

Original language	English
Title of host publication	33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
Pages	2712-2715
Number of pages	4
DOIs	https://doi.org/10.1109/IEMBS.2011.6090744
Publication status	Published - 2011
Event	33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 - Boston, MA, United States Duration: 30 Aug 2011 → 3 Sept 2011

Publication series

Name	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (Print)	1557-170X

Conference

Conference	33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
Country/Territory	United States
City	Boston, MA
Period	30/08/11 → 3/09/11

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10.1109/IEMBS.2011.6090744

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Hao, W., Chen, Y., & Xin, Y. (2011). ECG baseline wander correction by mean-median filter and discrete wavelet transform. In 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 (pp. 2712-2715). Article 6090744 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). https://doi.org/10.1109/IEMBS.2011.6090744

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title = "ECG baseline wander correction by mean-median filter and discrete wavelet transform",

abstract = "Electrocardiographic (ECG) analysis plays an important role in diagnosis of heart diseases. High quality ECG pushes forward new drug development and improves clinical diagnosis. This paper introduces a novel method to correct baseline wander (BW) components of ECG signals based on Mean-Median (MEM) filter and discrete wavelet transform (DWT). We obtain the BW estimation via MEM, and decompose the estimation into different scales by DWT. Then, an iterative sifting process based on t-test is adopted to select the scales to reconstruct the refined BW components. The proposed method is applied to MIT-BIH Arrhythmia Database. The experimental results verify that the proposed method can effectively remove BW components and preserve useful waveform information.",

author = "Weituo Hao and Yu Chen and Yi Xin",

year = "2011",

doi = "10.1109/IEMBS.2011.6090744",

language = "English",

isbn = "9781424441211",

series = "Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS",

pages = "2712--2715",

booktitle = "33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011",

note = "33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 ; Conference date: 30-08-2011 Through 03-09-2011",

}

Hao, W, Chen, Y & Xin, Y 2011, ECG baseline wander correction by mean-median filter and discrete wavelet transform. in 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011., 6090744, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, pp. 2712-2715, 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011, Boston, MA, United States, 30/08/11. https://doi.org/10.1109/IEMBS.2011.6090744

ECG baseline wander correction by mean-median filter and discrete wavelet transform. / Hao, Weituo; Chen, Yu; Xin, Yi.
33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011. 2011. p. 2712-2715 6090744 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - Electrocardiographic (ECG) analysis plays an important role in diagnosis of heart diseases. High quality ECG pushes forward new drug development and improves clinical diagnosis. This paper introduces a novel method to correct baseline wander (BW) components of ECG signals based on Mean-Median (MEM) filter and discrete wavelet transform (DWT). We obtain the BW estimation via MEM, and decompose the estimation into different scales by DWT. Then, an iterative sifting process based on t-test is adopted to select the scales to reconstruct the refined BW components. The proposed method is applied to MIT-BIH Arrhythmia Database. The experimental results verify that the proposed method can effectively remove BW components and preserve useful waveform information.

AB - Electrocardiographic (ECG) analysis plays an important role in diagnosis of heart diseases. High quality ECG pushes forward new drug development and improves clinical diagnosis. This paper introduces a novel method to correct baseline wander (BW) components of ECG signals based on Mean-Median (MEM) filter and discrete wavelet transform (DWT). We obtain the BW estimation via MEM, and decompose the estimation into different scales by DWT. Then, an iterative sifting process based on t-test is adopted to select the scales to reconstruct the refined BW components. The proposed method is applied to MIT-BIH Arrhythmia Database. The experimental results verify that the proposed method can effectively remove BW components and preserve useful waveform information.

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Hao W, Chen Y, Xin Y. ECG baseline wander correction by mean-median filter and discrete wavelet transform. In 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011. 2011. p. 2712-2715. 6090744. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). doi: 10.1109/IEMBS.2011.6090744

ECG baseline wander correction by mean-median filter and discrete wavelet transform

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