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dc.contributor.author
Wittmann, Frieder
dc.contributor.author
Held, Jeremia P.
dc.contributor.author
Lambercy, Olivier
dc.contributor.author
Starkey, Michelle L.
dc.contributor.author
Curt, Armin
dc.contributor.author
Höver, Raphael
dc.contributor.author
Gassert, Roger
dc.contributor.author
Luft, Andreas
dc.contributor.author
Gonzenbach, Roman R.
dc.date.accessioned
2018-08-20T15:28:08Z
dc.date.available
2017-06-12T11:00:22Z
dc.date.available
2018-08-20T15:28:08Z
dc.date.issued
2016-12
dc.identifier.issn
1743-0003
dc.identifier.other
10.1186/s12984-016-0182-1
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/119505
dc.identifier.doi
10.3929/ethz-b-000119505
dc.description.abstract
Background The effect of rehabilitative training after stroke is dose-dependent. Out-patient rehabilitation training is often limited by transport logistics, financial resources and a lack of motivation/compliance. We studied the feasibility of an unsupervised arm therapy for self-directed rehabilitation therapy in patients’ homes. Methods An open-label, single group study involving eleven patients with hemiparesis due to stroke (27 ± 31.5 months post-stroke) was conducted. The patients trained with an inertial measurement unit (IMU)-based virtual reality system (ArmeoSenso) in their homes for six weeks. The self-selected dose of training with ArmeoSenso was the principal outcome measure whereas the Fugl-Meyer Assessment of the upper extremity (FMA-UE), the Wolf Motor Function Test (WMFT) and IMU-derived kinematic metrics were used to assess arm function, training intensity and trunk movement. Repeated measures one-way ANOVAs were used to assess differences in training duration and clinical scores over time. Results All subjects were able to use the system independently in their homes and no safety issues were reported. Patients trained on 26.5 ± 11.5 days out of 42 days for a duration of 137 ± 120 min per week. The weekly training duration did not change over the course of six weeks (p = 0.146). The arm function of these patients improved significantly by 4.1 points (p = 0.003) in the FMA-UE. Changes in the WMFT were not significant (p = 0.552). ArmeoSenso based metrics showed an improvement in arm function, a high number of reaching movements (387 per session), and minimal compensatory movements of the trunk while training. Conclusions Self-directed home therapy with an IMU-based home therapy system is safe and can provide a high dose of rehabilitative therapy. The assessments integrated into the system allow daily therapy monitoring, difficulty adaptation and detection of maladaptive motor patterns such as trunk movements during reaching.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
BioMed Central
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
Rehabilitation
en_US
dc.subject
Stroke
en_US
dc.subject
Feasibility
en_US
dc.subject
Arm
en_US
dc.subject
Virtual reality therapy
en_US
dc.subject
Video games
en_US
dc.title
Self-directed arm therapy at home after stroke with a sensor-based virtual reality training system
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
ethz.journal.title
Journal of NeuroEngineering and Rehabilitation
ethz.journal.volume
13
en_US
ethz.journal.abbreviated
J. Neuroeng. Rehabilitat.
ethz.pages.start
75
en_US
ethz.size
10 p.
en_US
ethz.version.deposit
publishedVersion
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::00012 - Lehre und Forschung::00007 - Departemente::02070 - Dep. Gesundheitswiss. und Technologie / Dep. of Health Sciences and Technology::03827 - Gassert, Roger / Gassert, Roger
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02070 - Dep. Gesundheitswiss. und Technologie / Dep. of Health Sciences and Technology::03827 - Gassert, Roger / Gassert, Roger
ethz.date.deposited
2017-06-12T11:06:25Z
ethz.source
ECIT
ethz.identifier.importid
imp593654a28c71924028
ethz.ecitpid
pub:181520
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-07-13T05:42:02Z
ethz.rosetta.lastUpdated
2024-02-02T05:43:15Z
ethz.rosetta.versionExported
true
ethz.COinS
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