Removal of Baseline Noise from Electrocardiography (ECG) Signal Based on time Domain Approach
International Journal of Biomedical Science and Engineering
Volume 2, Issue 2, April 2014, Pages: 11-16
Received: Jun. 27, 2014;
Accepted: Jul. 8, 2014;
Published: Jul. 20, 2014
Views 3557 Downloads 288
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
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.
Duong Trong Luong,
Nguyen Duc Thuan,
Trinh Quang Duc,
Removal of Baseline Noise from Electrocardiography (ECG) Signal Based on time Domain Approach, International Journal of Biomedical Science and Engineering.
Vol. 2, No. 2,
2014, pp. 11-16.
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.
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.
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.
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.
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.
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.
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.
Mikhled Alfaouri and Khaled Daqrouq, “ECG Signal Denoising By Wavelet Transform Thresholding”. American Journal of Applied Sciences 5 (3), 276-281, 2008.
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.
Chissanuthat Bunluechokchai_ and Theera Leeudomwong “Discrete Wavelet Transform-based Baseline Wandering Removal for High Resolution Electrocardiogram”. International Journal of applied biomedical engineering, 2010.
Behzad Mozaffary Mohammad A. Tinati, “ECG Baseline Wander Elimination using Wavelet Packets”. World Academy of Science, Engineering and Technology 3, 550-552, 2007.
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.