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

dc.creatorPérez-Zapata A.F.
dc.creatorCardona-Escobar A.F.
dc.creatorJaramillo-Garzón J.A.
dc.creatorDíaz G.M.
dc.date.accessioned2020-08-28T22:27:56Z
dc.date.accessioned2022-09-29T12:39:54Z
dc.date.available2020-08-28T22:27:56Z
dc.date.available2022-09-29T12:39:54Z
dc.date.created2020-08-28T22:27:56Z
dc.date.issued2018
dc.identifierhttp://hdl.handle.net/20.500.12622/3382
dc.identifier10.1007/978-3-319-91470-1_14
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3750745
dc.relation10915 LNAI
dc.relation158
dc.relation169
dc.sourceScopus
dc.sourcehttps://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 signals
dc.typeinfo:eu-repo/semantics/conferenceObject


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