Comparison between Linear and Tensor Models of EEG Signals Representation

dc.contributor.authorGONÇALVES DE MAGALHAES JUNIOR, R.
dc.contributor.authorTHEOTO, ROCHA, F.
dc.contributor.authorCarlos E. Thomaz
dc.contributor.authorOrcidhttps://orcid.org/0000-0001-5566-1963
dc.date.accessioned2022-01-12T21:54:26Z
dc.date.available2022-01-12T21:54:26Z
dc.date.issued2021-01-05
dc.description.abstract© 2003-2012 IEEE.Electroencephalography (EEG) is an important toolfor the study of the human brain because it provides potentiallyuseful signals for understanding the spatial and temporal dynam-ics of neural information processing. These signals are commonlyrepresented by vector or matrix mathematical structures, whichmay counteract their natural behaviour for a multidimensionalrepresentation. Thus, in this case, the information from an EEGsignal should be represented using tensors. This study presentsan analysis of how these different mathematical structures canbe explored to obtain functional brain information. Two matrixmodels and one tensor model were investigated and assessed usingbrain maps and classification results. Our results show at leastthree different and complementary ways for the representationof cognitive brain maps and, as far as our exploratory analysis isconcerned, the tensorial model stands out in terms of the highestlevel of compression and precision in comparison to the othermodels.
dc.description.firstpage132
dc.description.issuenumber1
dc.description.lastpage137
dc.description.volume19
dc.identifier.citationGONÇALVES DE MAGALHAES JUNIOR, R.; THEOTO, ROCHA, F.; THOMAZ, C. E. Comparison between Linear and Tensor Models of EEG Signals Representation. IEEE Latin America Transactions, v. 19, n. 1, p. 132-137, Jan. 2021.
dc.identifier.doi10.1109/TLA.2021.9423856
dc.identifier.issn1548-0992
dc.identifier.urihttps://repositorio.fei.edu.br/handle/FEI/3600
dc.relation.ispartofIEEE Latin America Transactions
dc.rightsAcesso Restrito
dc.subject.otherlanguageBrain mapping
dc.subject.otherlanguageElectroencephalography
dc.subject.otherlanguageMultilinear analysis
dc.titleComparison between Linear and Tensor Models of EEG Signals Representation
dc.typeArtigo
fei.scopus.citations0
fei.scopus.eid2-s2.0-85105574544
fei.scopus.subjectClassification results
fei.scopus.subjectEEG signals
fei.scopus.subjectExploratory analysis
fei.scopus.subjectHuman brain
fei.scopus.subjectMathematical structure
fei.scopus.subjectNeural information processing
fei.scopus.subjectTensor model
fei.scopus.updated2024-07-01
fei.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85105574544&origin=inward
Arquivos
Coleções