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dc.contributor.author
Schuster-Amft, Corina
dc.contributor.author
Eng, Kynan
dc.contributor.author
Lehmann, Isabelle
dc.contributor.author
Schmid, Ludwig
dc.contributor.author
Kobashi, Nagisa
dc.contributor.author
Thaler, Irène
dc.contributor.author
Verra, Martin L.
dc.contributor.author
Henneke, Andrea
dc.contributor.author
Signer, Sandra
dc.contributor.author
McCaskey, Michael
dc.contributor.author
Kiper, Daniel
dc.date.accessioned
2018-03-15T15:50:19Z
dc.date.available
2017-06-11T12:44:19Z
dc.date.available
2018-03-15T15:50:19Z
dc.date.issued
2014-09
dc.identifier.issn
1468-6694
dc.identifier.issn
1745-6215
dc.identifier.issn
1468-6708
dc.identifier.other
10.1186/1745-6215-15-350
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/90012
dc.language.iso
en
en_US
dc.publisher
BioMed Central
en_US
dc.subject
Occupational therapy
en_US
dc.subject
Physiotherapy
en_US
dc.subject
Stroke
en_US
dc.subject
Upper-limb function
en_US
dc.subject
Virtual reality
en_US
dc.title
Using mixed methods to evaluate efficacy and user expectations of a virtual reality-based training system for upper-limb recovery in patients after stroke
en_US
dc.type
Journal Article
dc.date.published
2014-09-06
ethz.title.subtitle
A study protocol for a randomised controlled trial
en_US
ethz.journal.title
Trials
ethz.journal.volume
15
en_US
ethz.pages.start
350
en_US
ethz.size
11 p.
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
London
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich, direkt::00012 - Lehre und Forschung, direkt::00007 - Departemente, direkt::02140 - Departement Informationstechnologie und Elektrotechnik / Department of Information Technology and Electrical Engineering::02533 - Institut für Neuroinformatik (INI) / Institute of Neuroinformatics (INI)::03454 - Martin, Kevan A.C.
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich, direkt::00012 - Lehre und Forschung, direkt::00007 - Departemente, direkt::02140 - Departement Informationstechnologie und Elektrotechnik / Department of Information Technology and Electrical Engineering::02533 - Institut für Neuroinformatik (INI) / Institute of Neuroinformatics (INI)::03454 - Martin, Kevan A.C.
ethz.date.deposited
2017-06-11T12:44:28Z
ethz.source
ECIT
ethz.identifier.importid
imp5936525aaae9368801
ethz.ecitpid
pub:141739
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2017-07-15T10:14:29Z
ethz.rosetta.lastUpdated
2018-03-15T15:50:21Z
ethz.rosetta.versionExported
true
ethz.COinS
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