Title: Improved feature detection in ECG signals through denoising

Authors: Samuel P. Kozaitis

Addresses: Florida Institute of Technology, Department of Electrical and Computer Engineering, 150 W. University Blvd., Melbourne, FL 32901, USA

Abstract: We identified important features in ECG signals after using a third-order, correlation-based method for denoising. Using a small sample of test and actual clean ECG signals, we found that the third-order method for denoising preserved the values and location of important peaks better than a conventional second-order wavelet-based method for denoising.

Keywords: correlation; ECG signals; denoising; higher-order statistics; wavelet transform; electrocardiograms; feature detection; medical imaging.

DOI: 10.1504/IJSISE.2008.020917

International Journal of Signal and Imaging Systems Engineering, 2008 Vol.1 No.2, pp.108 - 114

Published online: 24 Oct 2008 *

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