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

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2015 International Conference on Applied Electronics

ISBN

978-80-261-0385-1

ISSN

1803-7232

e-ISSN

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Počet stran výsledku

4

Strana od-do

19-22

Název nakladatele

Západočeská univerzita

Místo vydání

Plzeň

Místo konání akce

Plzeň

Datum konání akce

8. 9. 2015

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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