%0 Journal Article
%T Removal of Embedded Artefacts in ECG Signals by Independent Component Analysi
%A Akingbade Kayode Francis and Michael O. Kolawole
%J International Journal of Engineering Research
%V 2
%N 4
%P 314-317
%D 2014
%I IJER
%X Routinely recorded Electrocardiograms (ECGs) 
are often corrupted by artefacts; these artefacts make the 
visual interpretation and analysis of the ECG signal 
difficult. This paper presents a model, dynamic in 
structure, sufficiently suitable for removing the ECG 
artefacts caused by embedded objects in the body using 
independent component analysis technique. By simulation, 
the model is able to detect and remove extraneous noises in 
the conductive paths and discern essential nodes of ECG 
that are useful to clinicians. Our study, also demonstrates 
that convolutive ICA can be regarded as a useful tool for 
accurately estimating the effects of embedded object in the 
patients on ECG signals
%K Electrocardiograms
%K artefacts
%K Independent component analysis
%K adaptive filtering
%U http://www.ijer.in/ijer/publication/v2s4/IJER_2013_410.pdf