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International Journal of Biomedical Imaging
Volume 2006 (2006), Article ID 97157, 9 pages

A Wavelet Packets Approach to Electrocardiograph Baseline Drift Cancellation

Communication Department, Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz 51666-16471, Iran

Received 29 October 2005; Revised 31 August 2006; Accepted 11 September 2006

Academic Editor: Scott Pohlman

Copyright © 2006 Mohammad Ali Tinati and Behzad Mozaffary. 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.


Baseline wander elimination is considered a classical problem. In electrocardiography (ECG) signals, baseline drift can influence the accurate diagnosis of heart disease such as ischemia and arrhythmia. We present a wavelet-transform- (WT-) based search algorithm using the energy of the signal in different scales to isolate baseline wander from the ECG signal. The algorithm computes wavelet packet coefficients and then in each scale the energy of the signal is calculated. Comparison is made and the branch of the wavelet binary tree corresponding to higher energy wavelet spaces is chosen. This algorithm is tested using the data record from MIT/BIH database and excellent results are obtained.