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.
International Journal of Signal and Imaging Systems Engineering, 2008 Vol.1 No.2, pp.108 - 114
Published online: 24 Oct 2008 *Full-text access for editors Access for subscribers Purchase this article Comment on this article