Publication detail

Removing artifacts from EEG signals using ICA

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

SADOVSKÝ, P., ČERMÁK, D.

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"
}