Subband Optimization for EEG-based Classification of Movements of the Same Limb

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F14%3A00223190" target="_blank" >RIV/68407700:21230/14:00223190 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21230/15:00219569
Result on the web
<a href="http://dx.doi.org/10.1109/AE.2014.7011671" target="_blank" >http://dx.doi.org/10.1109/AE.2014.7011671</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/AE.2014.7011671" target="_blank" >10.1109/AE.2014.7011671</a>

Result language
angličtina
Original language name
Subband Optimization for EEG-based Classification of Movements of the Same Limb
Original language description
The contribution investigates the impact of frequency feature optimization on discriminating between movement-related EEG realisations associated with right shoulder elevation and right index finger flexion movements. Exhaustive search of subbands in therange from 5 to 45 Hz is performed. A classifier based on Hidden Markov Models is utilised. The results show a large variability of optimal settings among subjects and electrodes. Using subband optimization an average 3.5 % increase in classification accuracy of EEG filtered using 8-neighbor Laplacian filter was achieved, reaching an overall score of 81.2 +- 1.2 %, individual improvements ranging from 1.2 to 9.9 %. The best general setting common for all subject was confirmed as 5-40 Hz.
Czech name
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Czech description
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Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
19th International Conference on Applied Electronics 2014
ISBN
978-80-261-0276-2
ISSN
1803-7232
e-ISSN
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Number of pages
4
Pages from-to
71-74
Publisher name
University of West Bohemia
Place of publication
Pilsen
Event location
Pilsen
Event date
Oct 9, 2014
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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