Removal of Baseline Noise from Electrocardiography (ECG) Signal Based on time Domain Approach

Duong Trong Luong; Nguyen Duc Thuan; Trinh Quang Duc

doi:doi:10.11648/j.ijbse.20140202.11

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Removal of Baseline Noise from Electrocardiography (ECG) Signal Based on time Domain Approach

Duong Trong Luong, Nguyen Duc Thuan, Trinh Quang Duc

Published in International Journal of Biomedical Science and Engineering (Volume 2, Issue 2)

Received: 27 June 2014 Accepted: 8 July 2014 Published: 20 July 2014

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Abstract

Electrocardiographic (ECG) signals in measurements are often contaminated with different types of noises in which include baseline noise. In case of the frequency of baseline noise is greater or smaller than frequency of the ECG signal, it is easy to filter the baseline noise from ECG signal by using filtered methods in frequency domain. In contrast, if frequency of baseline noise and frequency of ECG signal are coincident, it is difficult to apply the frequency domain filters for baseline noise removal. In this paper, we introduce an approach to remove of baseline noise from ECG signal in time domain and evaluation the efficacy of the method based on Mean Square Error criteria. We have performed experiments with simulated ECG signal which including white noise, random and sinusoidal baseline noises. Throughout the experiment, we found that the errors of time domain filters depend on the amplitude of the base line noises.

Published in	International Journal of Biomedical Science and Engineering (Volume 2, Issue 2)
DOI	10.11648/j.ijbse.20140202.11
Page(s)	11-16
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2014. Published by Science Publishing Group

Keywords

Time Domain, ECG Signal Processing, Baseline Noise, Simulated ECG Signal

References

[1]	A. Fasano, V. Villani, L. Vollero “Baseline Wander Estimation and Removal by Quadratic Variation Reduction”. The 33rd Annual International Conference of the IEEE EMBS, USA, August 30 - September 3, 2011.
[2]	Duong Trong Luong, Nguyen Duc Thuan, Chu Duc Hoang, Nguyen Van Trang, Trinh Quang Duc “Study on limitation of removal of baseline noise from electrocardiography signal in measurement using wavelet analysis “. The 5th International Conference on Ubiquitous and Future Networks (ICUFN) of the IEEE Xplore. ISSN 2165-8528; page(s): 481-486; Da Nang, VietNam; 2-5 July 2013.
[3]	L. T. Sheffield, C. A. Berson, D. B. Remschel, P. C. Gillette, R. E. Hermes, L. Hinkle, H. Kennedy, D. M. Mirvis, and C. Oliver, “Recommendations for standard of instrumentation and practice in the use of ambulatory electrocardiography,” Circulation, pp. 626A–636A, 1985.
[4]	Yan Sun, Kap Luk Chan, Shankar Muthu Krishnan, “ECG signal conditioning by morphological filltering”. Computers in Biology and Medicine 32 (2002) 465–479, 0010-4825/2002 Elsevier Science Ltd.All rights reserved.
[5]	J. A. Van Alste and T. S. Schilder, “Removal of base-line wander and power-line interference from the ECG by an efficient FIR filter with a reduced number of taps,” IEEE Transactions on Biomedical Engineering, vol. 32, no. 12, pp. 1052–1060, Dec 1985.
[6]	Jungkuk Kim, Minkyu Kim, Injae Won, Seungyhul Yang, Kiyoung Lee, and Woong Huh, “ An ECG signal processing Algorithm based on removal of wave deflections in time domain”. The 31st Annual International Conference of the IEEE EMBS, Minneapolis, Minnesota, USA, September 2-6, 2009.
[7]	G.Umamaheswara Reddy, M. Muralidhar, Dr. S. Varadarajan “ECG De-Noising using improved thresholding based on Wavelet transforms”, International Journal of Computer Science and Network Security, 9(9), 221-225, 2009.
[8]	Mikhled Alfaouri and Khaled Daqrouq, “ECG Signal Denoising By Wavelet Transform Thresholding”. American Journal of Applied Sciences 5 (3), 276-281, 2008.
[9]	P. Karthikeyan, M. Murugappan, and S.Yaacob, “ECG Signal Denoising Using Wavelet Thresholding Techniques in Human Stress Assessment”, International Journal on Electrical Engineering and Informatics 4 (2), 306-319, 2012.
[10]	Chissanuthat Bunluechokchai_ and Theera Leeudomwong “Discrete Wavelet Transform-based Baseline Wandering Removal for High Resolution Electrocardiogram”. International Journal of applied biomedical engineering, 2010.
[11]	Behzad Mozaffary Mohammad A. Tinati, “ECG Baseline Wander Elimination using Wavelet Packets”. World Academy of Science, Engineering and Technology 3, 550-552, 2007.
[12]	Fabio Badilini, Arthur J. Moss, Edward L. Titlebaum “Cubic spline baseline estimation in ambulatory ECG recordings for the measurement of ST segment displacements”, Annual Internatlonal Conference of the IEEE Engineering in Medicine and Biology Society, Vol. 13. No. 2, 1991.

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APA Style

Duong Trong Luong, Nguyen Duc Thuan, Trinh Quang Duc. (2014). Removal of Baseline Noise from Electrocardiography (ECG) Signal Based on time Domain Approach. International Journal of Biomedical Science and Engineering, 2(2), 11-16. https://doi.org/10.11648/j.ijbse.20140202.11

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ACS Style

Duong Trong Luong; Nguyen Duc Thuan; Trinh Quang Duc. Removal of Baseline Noise from Electrocardiography (ECG) Signal Based on time Domain Approach. Int. J. Biomed. Sci. Eng. 2014, 2(2), 11-16. doi: 10.11648/j.ijbse.20140202.11

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AMA Style

Duong Trong Luong, Nguyen Duc Thuan, Trinh Quang Duc. Removal of Baseline Noise from Electrocardiography (ECG) Signal Based on time Domain Approach. Int J Biomed Sci Eng. 2014;2(2):11-16. doi: 10.11648/j.ijbse.20140202.11

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@article{10.11648/j.ijbse.20140202.11,
  author = {Duong Trong Luong and Nguyen Duc Thuan and Trinh Quang Duc},
  title = {Removal of Baseline Noise from Electrocardiography (ECG) Signal Based on time Domain Approach},
  journal = {International Journal of Biomedical Science and Engineering},
  volume = {2},
  number = {2},
  pages = {11-16},
  doi = {10.11648/j.ijbse.20140202.11},
  url = {https://doi.org/10.11648/j.ijbse.20140202.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijbse.20140202.11},
  abstract = {Electrocardiographic (ECG) signals in measurements are often contaminated with different types of noises in which include baseline noise. In case of the frequency of baseline noise is greater or smaller than frequency of the ECG signal, it is easy to filter the baseline noise from ECG signal by using filtered methods in frequency domain. In contrast, if frequency of baseline noise and frequency of ECG signal are coincident, it is difficult to apply the frequency domain filters for baseline noise removal. In this paper, we introduce an approach to remove of baseline noise from ECG signal in time domain and evaluation the efficacy of the method based on Mean Square Error criteria. We have performed experiments with simulated ECG signal which including white noise, random and sinusoidal baseline noises. Throughout the experiment, we found that the errors of time domain filters depend on the amplitude of the base line noises.},
 year = {2014}
}

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TY  - JOUR
T1  - Removal of Baseline Noise from Electrocardiography (ECG) Signal Based on time Domain Approach
AU  - Duong Trong Luong
AU  - Nguyen Duc Thuan
AU  - Trinh Quang Duc
Y1  - 2014/07/20
PY  - 2014
N1  - https://doi.org/10.11648/j.ijbse.20140202.11
DO  - 10.11648/j.ijbse.20140202.11
T2  - International Journal of Biomedical Science and Engineering
JF  - International Journal of Biomedical Science and Engineering
JO  - International Journal of Biomedical Science and Engineering
SP  - 11
EP  - 16
PB  - Science Publishing Group
SN  - 2376-7235
UR  - https://doi.org/10.11648/j.ijbse.20140202.11
AB  - Electrocardiographic (ECG) signals in measurements are often contaminated with different types of noises in which include baseline noise. In case of the frequency of baseline noise is greater or smaller than frequency of the ECG signal, it is easy to filter the baseline noise from ECG signal by using filtered methods in frequency domain. In contrast, if frequency of baseline noise and frequency of ECG signal are coincident, it is difficult to apply the frequency domain filters for baseline noise removal. In this paper, we introduce an approach to remove of baseline noise from ECG signal in time domain and evaluation the efficacy of the method based on Mean Square Error criteria. We have performed experiments with simulated ECG signal which including white noise, random and sinusoidal baseline noises. Throughout the experiment, we found that the errors of time domain filters depend on the amplitude of the base line noises.
VL  - 2
IS  - 2
ER  -

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Author Information

Duong Trong Luong

Dept. of Electronics Technology and Biomedical Engineering, Hanoi University of Science and Technology, Hanoi, Vietnam
Nguyen Duc Thuan

Dept. of Electronics Technology and Biomedical Engineering, Hanoi University of Science and Technology, Hanoi, Vietnam
Trinh Quang Duc

Dept. of Electronics Technology and Biomedical Engineering, Hanoi University of Science and Technology, Hanoi, Vietnam

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Plain Text BibTeX RIS

APA Style

Duong Trong Luong, Nguyen Duc Thuan, Trinh Quang Duc. (2014). Removal of Baseline Noise from Electrocardiography (ECG) Signal Based on time Domain Approach. International Journal of Biomedical Science and Engineering, 2(2), 11-16. https://doi.org/10.11648/j.ijbse.20140202.11

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ACS Style

Duong Trong Luong; Nguyen Duc Thuan; Trinh Quang Duc. Removal of Baseline Noise from Electrocardiography (ECG) Signal Based on time Domain Approach. Int. J. Biomed. Sci. Eng. 2014, 2(2), 11-16. doi: 10.11648/j.ijbse.20140202.11

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AMA Style

Duong Trong Luong, Nguyen Duc Thuan, Trinh Quang Duc. Removal of Baseline Noise from Electrocardiography (ECG) Signal Based on time Domain Approach. Int J Biomed Sci Eng. 2014;2(2):11-16. doi: 10.11648/j.ijbse.20140202.11

Copy | Download

@article{10.11648/j.ijbse.20140202.11,
  author = {Duong Trong Luong and Nguyen Duc Thuan and Trinh Quang Duc},
  title = {Removal of Baseline Noise from Electrocardiography (ECG) Signal Based on time Domain Approach},
  journal = {International Journal of Biomedical Science and Engineering},
  volume = {2},
  number = {2},
  pages = {11-16},
  doi = {10.11648/j.ijbse.20140202.11},
  url = {https://doi.org/10.11648/j.ijbse.20140202.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijbse.20140202.11},
  abstract = {Electrocardiographic (ECG) signals in measurements are often contaminated with different types of noises in which include baseline noise. In case of the frequency of baseline noise is greater or smaller than frequency of the ECG signal, it is easy to filter the baseline noise from ECG signal by using filtered methods in frequency domain. In contrast, if frequency of baseline noise and frequency of ECG signal are coincident, it is difficult to apply the frequency domain filters for baseline noise removal. In this paper, we introduce an approach to remove of baseline noise from ECG signal in time domain and evaluation the efficacy of the method based on Mean Square Error criteria. We have performed experiments with simulated ECG signal which including white noise, random and sinusoidal baseline noises. Throughout the experiment, we found that the errors of time domain filters depend on the amplitude of the base line noises.},
 year = {2014}
}

Copy | Download

TY  - JOUR
T1  - Removal of Baseline Noise from Electrocardiography (ECG) Signal Based on time Domain Approach
AU  - Duong Trong Luong
AU  - Nguyen Duc Thuan
AU  - Trinh Quang Duc
Y1  - 2014/07/20
PY  - 2014
N1  - https://doi.org/10.11648/j.ijbse.20140202.11
DO  - 10.11648/j.ijbse.20140202.11
T2  - International Journal of Biomedical Science and Engineering
JF  - International Journal of Biomedical Science and Engineering
JO  - International Journal of Biomedical Science and Engineering
SP  - 11
EP  - 16
PB  - Science Publishing Group
SN  - 2376-7235
UR  - https://doi.org/10.11648/j.ijbse.20140202.11
AB  - Electrocardiographic (ECG) signals in measurements are often contaminated with different types of noises in which include baseline noise. In case of the frequency of baseline noise is greater or smaller than frequency of the ECG signal, it is easy to filter the baseline noise from ECG signal by using filtered methods in frequency domain. In contrast, if frequency of baseline noise and frequency of ECG signal are coincident, it is difficult to apply the frequency domain filters for baseline noise removal. In this paper, we introduce an approach to remove of baseline noise from ECG signal in time domain and evaluation the efficacy of the method based on Mean Square Error criteria. We have performed experiments with simulated ECG signal which including white noise, random and sinusoidal baseline noises. Throughout the experiment, we found that the errors of time domain filters depend on the amplitude of the base line noises.
VL  - 2
IS  - 2
ER  -

Copy | Download