Classification of the EEG feature components

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F10%3A00173984" target="_blank" >RIV/68407700:21230/10:00173984 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Classification of the EEG feature components
Original language description
In this paper we propose a novel method for the EEG signal processing based on the classification of independent components of the signal features. ICA algorithm has been successfully applied to the area of EEG artefact detection, however this algorithmcan be applied to identify independent components of signal features. We decomposed the EEG signal to the descriptive features, calculated independent components for specific features, linked them to the appropriate electrodes and classified these feature components by several algorithms. This method was applied to the data from a psychological experiment focused on the adoption of a specific frame of reference within the spatial navigation. The results were compared with the widely adopted method of signal feature classification. The feature components method revealed the brain structures involved in the spatial navigation similar to the results of recent EEG and fMRI studies.
Czech name
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Czech description
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Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
10th International Conference on Information Technology and Applications in Biomedicine
ISBN
978-1-4244-6560-6
ISSN
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e-ISSN
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Number of pages
1
Pages from-to
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Publisher name
IEEE Control Syst Soc
Place of publication
Crete
Event location
Aquis Corfu Holiday Palace Hotel
Event date
Nov 3, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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