Selection of Electroencephalogram Channels Based on Relevance of the Contained Information

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F14%3A00218579" target="_blank" >RIV/68407700:21230/14:00218579 - isvavai.cz</a>
Result on the web
<a href="http://radio.feld.cvut.cz/conf/poster2014/" target="_blank" >http://radio.feld.cvut.cz/conf/poster2014/</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Selection of Electroencephalogram Channels Based on Relevance of the Contained Information
Original language description
Sophisticated analysis of intracranial elec-troencephalograms (iEEG) is time consuming process due to large amount of data. This paper presents possibility of channels number reduction based on their information value. We show feature extraction methodsused for deter-mining presence of pathologies in signal. Whole process is tested on both real iEEG and surrogate data with injected pathological patterns. Methods of unsupervised classifica-tion are discussed and the classification based on euclidean distance in multidimensional space is tested. The results of classification are promising and their improvement will be main focus of the future research.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
S - Specificky vyzkum na vysokych skolach

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
POSTER 2014 - 18th International Student Conference on Electrical Engineering
ISBN
978-80-01-05499-4
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
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Publisher name
Czech Technical University
Place of publication
Prague
Event location
Praha
Event date
May 15, 2014
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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