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The Scientific World Journal
Volume 2013 (2013), Article ID 896056, 10 pages
http://dx.doi.org/10.1155/2013/896056
Research Article

A Hierarchical Method for Removal of Baseline Drift from Biomedical Signals: Application in ECG Analysis

1Department of Computer Science, School of Engineering, Virginia Commonwealth University, 401 West Main Street, Richmond, VA 23284, USA
2Department of Electrical and Computer Engineering, School of Engineering, Virginia Commonwealth University, 401 West Main Street, Richmond, VA 23284, USA
3Department of Biomedical Engineering, School of Engineering, Virginia Commonwealth University, 401 West Main Street, Richmond, VA 23284, USA
4Department of Emergency Medicine and Michigan Critical Injury and Illness Research Center, University of Michigan, Ann Arbor, MI 48109, USA

Received 12 February 2013; Accepted 9 April 2013

Academic Editors: G. Koch, J. Ma, and V. Positano

Copyright © 2013 Yurong Luo et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Yurong Luo, Rosalyn H. Hargraves, Ashwin Belle, et al., “A Hierarchical Method for Removal of Baseline Drift from Biomedical Signals: Application in ECG Analysis,” The Scientific World Journal, vol. 2013, Article ID 896056, 10 pages, 2013. doi:10.1155/2013/896056