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Deep convolutional neural networks and power spectral density features for motor imagery classification of EEG signals

dc.contributor.authorPérez-Zapata A.F.
dc.contributor.authorCardona-Escobar A.F.
dc.contributor.authorJaramillo-Garzón J.A.
dc.contributor.authorDíaz G.M.
dc.date.accessioned2020-08-28T22:27:56Z
dc.date.available2020-08-28T22:27:56Z
dc.date.issued2018
dc.identifier.urihttp://hdl.handle.net/20.500.12622/3382
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85050588425&doi=10.1007%2f978-3-319-91470-1_14&partnerID=40&md5=fcc2cf2a951887880e7002823f677d5a
dc.titleDeep convolutional neural networks and power spectral density features for motor imagery classification of EEG signalsspa
dc.title.alternativeLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.rights.accessrightsinfo:eu-repo/semantics/closedAccess
dc.identifier.doi10.1007/978-3-319-91470-1_14
dc.relation.citationvolume10915 LNAI
dc.relation.citationstartpage158
dc.relation.citationendpage169
dc.type.versioninfo:eu-repo/semantics/publishedVersion


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