Open Access Research Article

Subband-Adaptive Shrinkage for Denoising of ECG Signals

S Poornachandra1* and N Kumaravel2

Author Affiliations

1 Department of Biomedical Engineering , SSN College of Engineering, Anna University, Chennai 600025, India

2 Department of Electronics and Communication Engineering, Anna University, Chennai 600025, India

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EURASIP Journal on Advances in Signal Processing 2006, 2006:081236  doi:10.1155/ASP/2006/81236


The electronic version of this article is the complete one and can be found online at: http://asp.eurasipjournals.com/content/2006/1/081236


Received: 12 March 2005
Revisions received: 8 September 2005
Accepted: 28 September 2005
Published: 13 April 2006

© 2006 Poornachandra and Kumaravel

This paper describes subband dependent adaptive shrinkage function that generalizes hard and soft shrinkages proposed by Donoho and Johnstone (1994). The proposed new class of shrinkage function has continuous derivative, which has been simulated and tested with normal and abnormal ECG signals with added standard Gaussian noise using MATLAB. The recovered signal is visually pleasant compared with other existing shrinkage functions. The implication of the proposed shrinkage function in denoising and data compression is discussed.

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