Classification of executed upper limb movements by means of EEG

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dc.contributor.authorCARACILLO, R. C.
dc.contributor.authorCastro M.C.F.
dc.contributor.authorOrcidhttps://orcid.org/0000-0002-2751-0014
dc.date.accessioned2022-01-12T22:01:34Z
dc.date.available2022-01-12T22:01:34Z
dc.date.issued2013-02-18
dc.description.abstractThis work presents the performance of a Linear Discriminant Analysis classifier that used EEG data from 3 different subsets of the signal, which was gathered during the execution of 4 upper limb movements. The mean Power of the signal, segmented in 8 EEG frequency bands, was used as the features for the classifier and the effect of spatial feature selection was also investigated. A non-conventional potential difference based on an 8-electrode clinical transversal setup was used in the acquisition of EEG signal during arm and hand movements, which were segmented in Movement Planning, Movement Execution and Steady Position. The results showed that the Movement Planning subset achieved the best classification accuracy, suggesting that the speed for a BCI can be improved by using pre-movement information. Spatial feature selection showed that non-motor areas should be considered as an information source. Best classification accuracy of right and left limbs was 67.95%, hands versus arms achieved 82.69%, and 49.36% of classification was the best result for the 4-class set up. Results are promising, however further experiments are required to obtain better classification accuracy and to generalize these conclusions. © 2013 IEEE.
dc.identifier.citationCARACILLO, R. C.; CASTRO, M.C.F. Classification of executed upper limb movements by means of EEG. ISSNIP Biosignals and Biorobotics Conference, BRC, Feb. 2013.
dc.identifier.doi10.1109/BRC.2013.6487448
dc.identifier.issn2326-7771
dc.identifier.urihttps://repositorio.fei.edu.br/handle/FEI/4076
dc.relation.ispartofISSNIP Biosignals and Biorobotics Conference, BRC
dc.rightsAcesso Restrito
dc.subject.otherlanguageEEG
dc.subject.otherlanguageEEG Motor Signals
dc.subject.otherlanguageLinear Discriminant Analysis (LDA)
dc.subject.otherlanguagePattern Recognition
dc.subject.otherlanguagePower Spectral Density (PSD)
dc.titleClassification of executed upper limb movements by means of EEG
dc.typeArtigo de evento
fei.scopus.citations18
fei.scopus.eid2-s2.0-84876753148
fei.scopus.subjectClassification accuracy
fei.scopus.subjectInformation sources
fei.scopus.subjectLinear discriminant analysis
fei.scopus.subjectMovement planning
fei.scopus.subjectPotential difference
fei.scopus.subjectPower spectral densities (PSD)
fei.scopus.subjectPre movements
fei.scopus.subjectSpatial features
fei.scopus.updated2024-07-01
fei.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84876753148&origin=inward
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