Online motor-imagery based BCI

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00194635" target="_blank" >RIV/68407700:21230/12:00194635 - 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
Online motor-imagery based BCI
Original language description
This contribution presents a study on feedback training using a motor-imagery based brain- computer interface (BCI). In contrast to majority of BCI papers focusing on development of complex signal processing methods, we used the simplest possible available methods to focus on influence of the feedback itself and development of methodology how to conduct the experiments to support user training. We have shown that simple signal processing methods are not only sufficient to achieve high-speed control buttheir usage is desired in online applications as the simple methods can be more easily adapted. We have introduced a novel adaptive threshold classification approach. Classification scores up to 100 % (75 % in average over all subjects and sessions) wereachieved with classification of left and right arm motor imagery and visual feedback in experiments performed in synchronous manner and asynchronous self-paced operation was reached with few proficient subjects.
Czech name
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Czech description
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Project
<a href="/en/project/GAP102%2F11%2F1795" target="_blank" >GAP102/11/1795: Novel selective transforms for non-stationary signal processing</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach

Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2012 International Conference on Applied Electronics
ISBN
978-80-261-0038-6
ISSN
1803-7232
e-ISSN
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Number of pages
4
Pages from-to
65-68
Publisher name
University of West Bohemia
Place of publication
Pilsen
Event location
Plzeň
Event date
Sep 6, 2012
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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