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SADOVSKÝ, P., ČERMÁK, D.
Originální název
Removing artifacts from EEG signals using ICA
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
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.
Klíčová slova
EEG ICA
Autoři
Vydáno
6. 5. 2003
Nakladatel
Brno University of Technology
Místo
Brno
ISBN
80-214-2378-1
Kniha
Proceedings of 9th conference and competition Student EEICT 2003 Volume 2
Číslo edice
1
Strany od
155
Strany do
159
Strany počet
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" }