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

Autores:
Pérez-Zapata A.F.
Cardona-Escobar A.F.
Jaramillo-Garzón J.A.
Díaz G.M.
Tipo de recurso:
Fecha de publicación:
2018
Institución:
Instituto Tecnológico Metropolitano
Repositorio:
Repositorio ITM
Idioma:
OAI Identifier:
oai:repositorio.itm.edu.co:20.500.12622/3382
Acceso en línea:
http://hdl.handle.net/20.500.12622/3382
Palabra clave:
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License
http://purl.org/coar/access_right/c_14cb
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spelling Pérez-Zapata A.F.Cardona-Escobar A.F.Jaramillo-Garzón J.A.Díaz G.M.2020-08-28T22:27:56Z2020-08-28T22:27:56Z2018http://hdl.handle.net/20.500.12622/338210.1007/978-3-319-91470-1_14Scopushttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85050588425&doi=10.1007%2f978-3-319-91470-1_14&partnerID=40&md5=fcc2cf2a951887880e7002823f677d5aDeep convolutional neural networks and power spectral density features for motor imagery classification of EEG signalsLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)info:eu-repo/semantics/conferenceObjecthttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_c94f10915 LNAI158169http://purl.org/coar/access_right/c_14cbPublication20.500.12622/3382oai:dspace-itm.metabuscador.org:20.500.12622/33822025-06-20 16:12:24.465metadata.onlyhttps://dspace-itm.metabuscador.orgRepositorio Instituto Tecnológico Metropolitano de Medellínbdigital@metabiblioteca.com
dc.title.spa.fl_str_mv Deep convolutional neural networks and power spectral density features for motor imagery classification of EEG signals
dc.title.alternative.none.fl_str_mv Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
title Deep convolutional neural networks and power spectral density features for motor imagery classification of EEG signals
spellingShingle Deep convolutional neural networks and power spectral density features for motor imagery classification of EEG signals
title_short Deep convolutional neural networks and power spectral density features for motor imagery classification of EEG signals
title_full Deep convolutional neural networks and power spectral density features for motor imagery classification of EEG signals
title_fullStr Deep convolutional neural networks and power spectral density features for motor imagery classification of EEG signals
title_full_unstemmed Deep convolutional neural networks and power spectral density features for motor imagery classification of EEG signals
title_sort Deep convolutional neural networks and power spectral density features for motor imagery classification of EEG signals
dc.creator.fl_str_mv Pérez-Zapata A.F.
Cardona-Escobar A.F.
Jaramillo-Garzón J.A.
Díaz G.M.
dc.contributor.author.none.fl_str_mv Pérez-Zapata A.F.
Cardona-Escobar A.F.
Jaramillo-Garzón J.A.
Díaz G.M.
publishDate 2018
dc.date.issued.none.fl_str_mv 2018
dc.date.accessioned.none.fl_str_mv 2020-08-28T22:27:56Z
dc.date.available.none.fl_str_mv 2020-08-28T22:27:56Z
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
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dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/20.500.12622/3382
dc.identifier.doi.none.fl_str_mv 10.1007/978-3-319-91470-1_14
url http://hdl.handle.net/20.500.12622/3382
identifier_str_mv 10.1007/978-3-319-91470-1_14
dc.relation.citationvolume.none.fl_str_mv 10915 LNAI
dc.relation.citationstartpage.none.fl_str_mv 158
dc.relation.citationendpage.none.fl_str_mv 169
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dc.source.none.fl_str_mv Scopus
institution Instituto Tecnológico Metropolitano
dc.source.uri.none.fl_str_mv https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050588425&doi=10.1007%2f978-3-319-91470-1_14&partnerID=40&md5=fcc2cf2a951887880e7002823f677d5a
repository.name.fl_str_mv Repositorio Instituto Tecnológico Metropolitano de Medellín
repository.mail.fl_str_mv bdigital@metabiblioteca.com
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