Extraction of beats from noisy ECG using ICA

Abstract

Holter recordings of electrocardiographic signal (ECG) are usually distorted by noise added to measured useful signal due to e. g. worse contact skin-electrode, body movements, etc. Our goal is to create an automatic algorithm for noise removal without destroying morphology of QRS complexes. Our method is based on Independent Component Analysis (ICA). Our so-called ICA "filter" is divided into functional blocks, which can be modified independently on each other. Its performance is tested using two measures, namely Root-Mean-Square error (RMSE) and Pearson's correlation coefficient. © 2013 Springer-Verlag.