Predicting motor behavior: an efficient EEG signal processing pipeline to detect brain states with potential therapeutic relevance for VR-based neurorehabilitation

McDermott, Eric J.; Metsomaa, Johanna; Belardinelli, Paolo; Grosse-Wentrup, Moritz; Ziemann, Ulf; Zrenner, Christoph

dc.contributor.author	McDermott, Eric James
dc.contributor.author	Metsomaa, Johanna
dc.contributor.author	Belardinelli, Paolo
dc.contributor.author	Ziemann, Ulf
dc.contributor.author	Zrenner, Christoph Daniel Frederik
dc.date.accessioned	2023-10-20T07:53:49Z
dc.date.available	2023-10-20T07:53:49Z
dc.date.issued	2023
dc.identifier.issn	1359-4338
dc.identifier.uri	http://hdl.handle.net/10900/146623
dc.language.iso	en	en
dc.publisher	Springer London Ltd	de_DE
dc.relation.uri	http://dx.doi.org/10.1007/s10055-021-00538-x
dc.subject.ddc	004	de_DE
dc.subject.ddc	610	de_DE
dc.subject.ddc	600	de_DE
dc.title	Predicting motor behavior: an efficient EEG signal processing pipeline to detect brain states with potential therapeutic relevance for VR-based neurorehabilitation	de_DE
dc.type	Article	de_DE
utue.quellen.id	20230619000000_02184
utue.publikation.seiten	347-369	de_DE
utue.personen.roh	McDermott, Eric J.
utue.personen.roh	Metsomaa, Johanna
utue.personen.roh	Belardinelli, Paolo
utue.personen.roh	Grosse-Wentrup, Moritz
utue.personen.roh	Ziemann, Ulf
utue.personen.roh	Zrenner, Christoph
dcterms.isPartOf.ZSTitelID	Virtual Reality	de_DE
dcterms.isPartOf.ZS-Issue	1	de_DE
dcterms.isPartOf.ZS-Volume	27	de_DE
utue.fakultaet	04 Medizinische Fakultät
utue.fakultaet	Sonstige