Publication detail

Extraction of interesting independent components from EEG signal

ČERMÁK, D. SADOVSKÝ, P.

Original Title

Extraction of interesting independent components from EEG signal

Type

conference paper

Language

English

Original Abstract

Independent component analysis is recently developed method for finding source signals from their mixtures, assuming statictical independence of the sources. This method is widely used in electroencephalogram's analysis for such techniques as a noise removal, finding an interesting patterns, etc. It decomposes a set of mixtures (EEG channels) into the same number of source signals. This decomposition might be quite dicult task, because of large number of channels. Therefore we estimate only some few interesting components which are intended for future processing and analysis. In this paper we consider only one component's extraction and demonstrate it in a simple example.

Keywords

ICA, EEG

Authors

ČERMÁK, D.; SADOVSKÝ, P.

Released

1. 4. 2002

Publisher

VUT v Brně

Location

Brno

ISBN

80-214-2115-0

Book

Student EEICT 2002

Pages from

19

Pages to

23

Pages count

5

BibTex

@inproceedings{BUT4789,
  author="David {Čermák} and Petr {Sadovský}",
  title="Extraction of interesting independent components from EEG signal",
  booktitle="Student EEICT 2002",
  year="2002",
  pages="5",
  publisher="VUT v Brně",
  address="Brno",
  isbn="80-214-2115-0"
}