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dc.contributor.author
Zbytniewska, Monika
dc.contributor.author
Rinderknecht, Mike D.
dc.contributor.author
Lambercy, Olivier
dc.contributor.author
Gassert, Roger
dc.contributor.author
Barnobi, Marco
dc.contributor.author
Raats, Joke
dc.contributor.author
Lamers, Ilse
dc.contributor.author
Feys, Peter
dc.contributor.author
Liepert, Joachim
dc.date.accessioned
2019-08-27T05:31:13Z
dc.date.available
2019-08-26T14:42:05Z
dc.date.available
2019-08-27T05:14:36Z
dc.date.available
2019-08-27T05:31:13Z
dc.date.issued
2019
dc.identifier.isbn
978-1-7281-2755-2
en_US
dc.identifier.other
10.1109/ICORR.2019.8779507
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/360571
dc.identifier.doi
10.3929/ethz-b-000360571
dc.description.abstract
Hand function is often impaired after neurological injuries such as stroke. In order to design patient-specific rehabilitation, it is essential to quantitatively assess those deficits. Current clinical scores cannot provide the required level of detail, and most assessment devices have been developed for the proximal joints of the upper limb. This paper presents a new robotic platform for the assessment of proprioceptive, motor, and sensorimotor hand impairments. A detailed technical evaluation demonstrated the capabilities to render different haptic environments required for a comprehensive assessment battery, and showed that the device is suitable for human interaction due to its ergonomic design. A preliminary study on proprioceptive assessment using a gauge position matching task with one healthy, one stroke, and one multiple sclerosis subject showed that the robotic system is able to rapidly and sensitively quantify proprioceptive deficits, and has the potential to be integrated into the clinical settings.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
IEEE
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.subject
Assessement
en_US
dc.subject
Rehabilitation robotics
en_US
dc.subject
Assessment-driven therapy
en_US
dc.subject
End effectors
en_US
dc.subject
Robot sensing systems
en_US
dc.subject
DC motors
en_US
dc.title
Design and Characterization of a Robotic Device for the Assessment of Hand Proprioceptive, Motor, and Sensorimotor Impairments
en_US
dc.type
Conference Paper
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2019-07-29
ethz.book.title
2019 IEEE 16th International Conference on Rehabilitation Robotics (ICORR)
en_US
ethz.pages.start
441
en_US
ethz.pages.end
446
en_US
ethz.size
6 p. accepted version
en_US
ethz.version.deposit
acceptedVersion
en_US
ethz.event
16th IEEE International Conference on Rehabilitation Robotics (ICORR 2019)
en_US
ethz.event.location
Toronto, Canada
en_US
ethz.event.date
June 24-28, 2019
en_US
ethz.grant
Assessment and therapy of proprioceptive function after stroke and its link to motor recovery
en_US
ethz.identifier.scopus
ethz.publication.place
Piscataway, NJ
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
en_US
ethz.grant.agreementno
170163
ethz.grant.agreementno
170163
ethz.grant.fundername
SNF
ethz.grant.fundername
SNF
ethz.grant.funderDoi
10.13039/501100001711
ethz.grant.funderDoi
10.13039/501100001711
ethz.grant.program
Projektförderung in Biologie und Medizin (Abteilung III)
ethz.date.deposited
2019-08-26T14:42:14Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2019-08-27T05:14:50Z
ethz.rosetta.lastUpdated
2021-02-15T05:44:07Z
ethz.rosetta.versionExported
true
ethz.COinS
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