Improved feature detection in ECG signals through denoising
by Samuel P. Kozaitis
International Journal of Signal and Imaging Systems Engineering (IJSISE), Vol. 1, No. 2, 2008

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.

Online publication date: Fri, 24-Oct-2008

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