Classifying Direction of the Right Index Finger Movement from Delta Band Activity Using HMM

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00233131" target="_blank" >RIV/68407700:21230/15:00233131 - 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
Classifying Direction of the Right Index Finger Movement from Delta Band Activity Using HMM
Original language description
This contribution examines the usage of low frequency components (< 5 Hz) in single trial EEG recordings of right index finger for classification of reaching and grasping movements. These components contain delta band activity and Movement Related Potentials (MRPs) associated with the movements. Time-frequency development is used to classify the movements using Hidden Markov Model based classifier. It is shown that in some cases the utilization of these components can lead to better classification thanthe previously used oscillatory activity in the and bands, which are used as reference here. The classification score has changed on average by -1.3% (-11.7% to +16.1%) compared to the referenced 5?40 Hz band. By choosing the newly examined band in subjects where there is a benefit in it, a score of 90.9% was obtained (+2.9% improvement on reference itself). The examined frequency band is optimized for each subject as the inter-subject variability of EEG plays a role here.
Czech name
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Czech description
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Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2015 International Conference on Applied Electronics
ISBN
978-80-261-0385-1
ISSN
1803-7232
e-ISSN
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Number of pages
4
Pages from-to
19-22
Publisher name
Západočeská univerzita
Place of publication
Plzeň
Event location
Plzeň
Event date
Sep 8, 2015
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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