Detail publikace

Extraction of interesting independent components from EEG signal

ČERMÁK, D. SADOVSKÝ, P.

Originální název

Extraction of interesting independent components from EEG signal

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

ICA, EEG

Autoři

ČERMÁK, D.; SADOVSKÝ, P.

Vydáno

1. 4. 2002

Nakladatel

VUT v Brně

Místo

Brno

ISBN

80-214-2115-0

Kniha

Student EEICT 2002

Strany od

19

Strany do

23

Strany počet

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"
}