Detail publikace

Removing artifacts from EEG signals using ICA

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

SADOVSKÝ, P., ČERMÁK, D.

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"
}