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Article: An automated and fast approach to detect single-trial visual evoked potentials with application to brain–computer interface

TitleAn automated and fast approach to detect single-trial visual evoked potentials with application to brain–computer interface
Authors
Issue Date2014
Citation
Clinical Neurophysiology, 2014 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/202891

 

DC FieldValueLanguage
dc.contributor.authorTU, Yen_US
dc.contributor.authorHung, YSen_US
dc.contributor.authorHu, Len_US
dc.contributor.authorHuang, Gen_US
dc.contributor.authorHu, Yen_US
dc.contributor.authorZhang, Zen_US
dc.date.accessioned2014-09-19T10:09:16Z-
dc.date.available2014-09-19T10:09:16Z-
dc.date.issued2014en_US
dc.identifier.citationClinical Neurophysiology, 2014en_US
dc.identifier.urihttp://hdl.handle.net/10722/202891-
dc.languageengen_US
dc.relation.ispartofClinical Neurophysiologyen_US
dc.titleAn automated and fast approach to detect single-trial visual evoked potentials with application to brain–computer interfaceen_US
dc.typeArticleen_US
dc.identifier.emailHung, YS: yshung@eee.hku.hken_US
dc.identifier.emailHu, Y: yhud@hku.hken_US
dc.identifier.emailZhang, Z: zgzhang@eee.hku.hken_US
dc.identifier.authorityHung, YS=rp00220en_US
dc.identifier.authorityHu, Y=rp00432en_US
dc.identifier.authorityZhang, Z=rp01565en_US
dc.identifier.doi10.1016/j.clinph.2014.03.028en_US
dc.identifier.hkuros238865en_US

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