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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kuzilek, J., Lhotska, L., Huptych, M. (2013). Extraction of beats from noisy ECG using ICA. In: Long, M. (eds) World Congress on Medical Physics and Biomedical Engineering May 26-31, 2012, Beijing, China. IFMBE Proceedings, vol 39. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29305-4_124
Download citation
DOI: https://doi.org/10.1007/978-3-642-29305-4_124
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-29304-7
Online ISBN: 978-3-642-29305-4
eBook Packages: EngineeringEngineering (R0)