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SADOVSKÝ, P., ČERMÁK, D.
Original Title
Removing artifacts from EEG signals using ICA
Type
conference paper
Language
English
Original Abstract
The electroencephalography is a special diagnostic method which enables the recording of electrical activity of the brain. The electroencephalogram (EEG) consists of a set of signals measured with electrodes placed on the scalp. This EEG signals comprise not only signals of the brain electrical activity but also other different signals. These signals are firstly an electrical signals of head muscular groups, eyes movement, signals of the heart electrical activity ECG etc. Furthermore the signals can comprise noise, supply network artifact or movement artifacts which degrade EEG signals. Artifacts mostly have bigger amplitude then EEG signals and therefore overlay the EEG signals information. This article focuses on the use of Independent Component Analysis ICA as a progressive method for removing artifact from electroencephalogram.
Keywords
EEG ICA
Authors
Released
6. 5. 2003
Publisher
Brno University of Technology
Location
Brno
ISBN
80-214-2378-1
Book
Proceedings of 9th conference and competition Student EEICT 2003 Volume 2
Edition number
1
Pages from
155
Pages to
159
Pages count
5
BibTex
@inproceedings{BUT10763, author="Petr {Sadovský} and David {Čermák}", title="Removing artifacts from EEG signals using ICA", booktitle="Proceedings of 9th conference and competition Student EEICT 2003 Volume 2", year="2003", number="1", pages="5", publisher="Brno University of Technology", address="Brno", isbn="80-214-2378-1" }