A dataset of EEG and EOG from an auditory EOG-based communication system for patients in locked-in state

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dc.contributor.author Jaramillo-Gonzalez, Andres
dc.contributor.author Wu, Shizhe
dc.contributor.author Rana, Aygul
dc.contributor.author Khalili Ardali, Majid
dc.contributor.author Birbaumer, Niels-Peter
dc.contributor.author Chaudhary, Ujwal
dc.date.accessioned 2021-08-30T12:31:13Z
dc.date.available 2021-08-30T12:31:13Z
dc.date.issued 2021
dc.identifier.issn 2052-4463
dc.identifier.uri http://hdl.handle.net/10900/118337
dc.language.iso en de_DE
dc.publisher Nature Research de_DE
dc.relation.uri http://dx.doi.org/10.1038/s41597-020-00789-4 de_DE
dc.subject.ddc 500 de_DE
dc.title A dataset of EEG and EOG from an auditory EOG-based communication system for patients in locked-in state de_DE
dc.type Article de_DE
utue.quellen.id 20210512015105_01259
utue.personen.roh Jaramillo-Gonzalez, Andres
utue.personen.roh Wu, Shizhe
utue.personen.roh Tonin, Alessandro
utue.personen.roh Rana, Aygul
utue.personen.roh Ardali, Majid Khalili
utue.personen.roh Birbaumer, Niels
utue.personen.roh Chaudhary, Ujwal
dcterms.isPartOf.ZSTitelID Scientific Data de_DE
dcterms.isPartOf.ZS-Issue Article 8 de_DE
dcterms.isPartOf.ZS-Volume 8 de_DE
utue.fakultaet 04 Medizinische Fakultät de_DE


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