An automatic method for holter ECG denoising using ICA

Authors:
Jakub Kuzilek;Lenka Lhotska;Martin Hanuliak
Affiliations:
FEE, CTU in Prague, Technicka, Prague, Czech Republic;FEE, CTU in Prague, Technicka, Prague, Czech Republic;FEE, CTU in Prague, Technicka, Prague, Czech Republic
Venue:
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies
Year:
2011

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Abstract

Our work aims at processing of holter ECG recordings using Independent Component Analysis (ICA). This powerful tool enables us to create a adapting and robust method for detection and estimation of noise in records. Our method is fully automatic and it is easily modifiable for any type of noise. It also preserves enough information for estimation of ECG beat type, which is a desirable feature.