A Hierarchical Method for Removal of Baseline Drift from Biomedical Signals: Application in ECG Analysis
Joint Authors
Najarian, Kayvan
Luo, Yurong
Bai, Ou
Qi, Xuguang
Pfaffenberger, Michael Paul
Ward, Kevin R.
Hargraves, Rosalyn Hobson
Belle, Ashwin
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-05-20
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Noise can compromise the extraction of some fundamental and important features from biomedical signals and hence prohibit accurate analysis of these signals.
Baseline wander in electrocardiogram (ECG) signals is one such example, which can be caused by factors such as respiration, variations in electrode impedance, and excessive body movements.
Unless baseline wander is effectively removed, the accuracy of any feature extracted from the ECG, such as timing and duration of the ST-segment, is compromised.
This paper approaches this filtering task from a novel standpoint by assuming that the ECG baseline wander comes from an independent and unknown source.
The technique utilizes a hierarchical method including a blind source separation (BSS) step, in particular independent component analysis, to eliminate the effect of the baseline wander.
We examine the specifics of the components causing the baseline wander and the factors that affect the separation process.
Experimental results reveal the superiority of the proposed algorithm in removing the baseline wander.
American Psychological Association (APA)
Luo, Yurong& Hargraves, Rosalyn Hobson& Belle, Ashwin& Bai, Ou& Qi, Xuguang& Ward, Kevin R.…[et al.]. 2013. A Hierarchical Method for Removal of Baseline Drift from Biomedical Signals: Application in ECG Analysis. The Scientific World Journal،Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-1033413
Modern Language Association (MLA)
Luo, Yurong…[et al.]. A Hierarchical Method for Removal of Baseline Drift from Biomedical Signals: Application in ECG Analysis. The Scientific World Journal No. 2013 (2013), pp.1-10.
https://search.emarefa.net/detail/BIM-1033413
American Medical Association (AMA)
Luo, Yurong& Hargraves, Rosalyn Hobson& Belle, Ashwin& Bai, Ou& Qi, Xuguang& Ward, Kevin R.…[et al.]. A Hierarchical Method for Removal of Baseline Drift from Biomedical Signals: Application in ECG Analysis. The Scientific World Journal. 2013. Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-1033413
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1033413