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dc.contributor.authorAmirabdollahian, Farshid
dc.contributor.authorHarwin, William S.
dc.contributor.authorLoureiro, Rui C. V.
dc.date.accessioned2015-02-24T14:33:19Z
dc.date.available2015-02-24T14:33:19Z
dc.date.issued2008-04
dc.identifier.citationAmirabdollahian , F , Harwin , W S & Loureiro , R C V 2008 , Analysis of the Fugl-Meyer outcome measures assessing the effectiveness of robot-mediated stroke therapy . in 2007 IEEE 10th Int Conf on Rehabilitation Robotics : ICORR . IEEE , pp. 729-735 , 10th IEEE International Conference on Rehabilitation Robotics , Noordwijk , 13/06/07 . https://doi.org/10.1109/ICORR.2007.4428506
dc.identifier.citationconference
dc.identifier.isbn978-1-4244-1319-5
dc.identifier.isbn978-1-4244-1320-1
dc.identifier.otherPURE: 783972
dc.identifier.otherPURE UUID: 9f808646-c624-4537-b165-ef9ec8021cea
dc.identifier.otherWOS: 000255389600109
dc.identifier.otherScopus: 48349112501
dc.identifier.urihttp://hdl.handle.net/2299/15441
dc.description.abstractRobot-mediated therapies offer a new approach to neurorehabilitation. This paper analyses the Fugl-Meyer data from the Gentle/S project and finds that the two intervention phases (sling suspension and robot mediated therapy) have approximately equal value to the further recovery of chronic stroke subjects (on average 27 months post stroke). Both sting suspension and robot mediated interventions show a recovery over baseline and further work is needed to establish the common factors in treatment, and to establish intervention protocols for each that will give individual subjects a maximum level of recovery.en
dc.format.extent7
dc.language.isoeng
dc.publisherIEEE
dc.relation.ispartof2007 IEEE 10th Int Conf on Rehabilitation Robotics
dc.subjectREHABILITATION
dc.subjectRELIABILITY
dc.titleAnalysis of the Fugl-Meyer outcome measures assessing the effectiveness of robot-mediated stroke therapyen
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.contributor.institutionDepartment of Computer Science
dc.contributor.institutionAdaptive Systems
dc.contributor.institutionSchool of Engineering and Computer Science
dc.relation.schoolSchool of Engineering and Computer Science
dcterms.dateAccepted2008-04
rioxxterms.versionofrecordhttps://doi.org/10.1109/ICORR.2007.4428506
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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