Multiscale processing of multichannel elctrocardiogram signals

Abstract

This thesis documents our investigations on processing of multichannel electrocardiogram signals using multiscale principal component analysis MSPCA There are three broad contributions First wavelet based denoising methods are proposed and evaluated for noise cancellation The proposed denoising methods are based on relative subband energy of the signal and its Gaussianity from real data Higher order statistics at different wavelet subbands provides significant information about the statis