Removal of Muscular Artifacts from EEG Records
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F14%3A00217953" target="_blank" >RIV/68407700:21230/14:00217953 - 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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Alternative languages
Result language
angličtina
Original language name
Removal of Muscular Artifacts from EEG Records
Original language description
The paper presents the algorithm for the removal of muscular artifacts from EEG signals recorded with the high density EEG electrode array. The proposed approach combines the blind source separation algorithm based on the canonical correlation analysis (CCA), the classifier based on three independent Bayesian classifiers and the regression method. In order to estimate the present muscular artifacts, the CCA is applied on electrodes located on the edge of the measuring array. Present muscular artifacts are then extracted from the estimated separated components with the use of the classifier. The last step of the algorithm involves the scaling of each muscular artifact and their subtraction from each EEG signal, so that they are no longer correlated witheach other. The performance of the algorithm is evaluated for two cases. In the first case, the CCA is used as the BSS method, in the second case the Second Order Blind Identification (SOBI) method is used for comparison purposes. It is
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
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
6
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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