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

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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