Validating ArmAssist Assessment as outcome measure in upper-limb post-stroke telerehabilitation

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dc.contributor.authorRodriguez-De-Pablo, Cristina
dc.contributor.authorBalasubramanian, Sivakumar
dc.contributor.authorSavic, Andrej
dc.contributor.authorTomic, Tijana D.
dc.contributor.authorKonstantinovic, Ljubica
dc.contributor.authorKeller, Thierry
dc.contributor.institutionTecnalia Research & Innovation
dc.date.accessioned2024-07-24T11:55:12Z
dc.date.available2024-07-24T11:55:12Z
dc.date.issued2015-11-04
dc.descriptionPublisher Copyright: © 2015 IEEE.
dc.description.abstractThe ArmAssist is a low-cost robotic system for post-stroke upper-limb telerehabilitation based on serious games. The system incorporates a set of games for the assessment of arm function, the ArmAssist Assessment (AAA), which allows a remote monitoring of the progress of the patient and an automatic adaptation of the therapy. In this study, different components of the AAA are compared against three widely-used clinical tests, the Fugl-Meyer Assessment (FMA) [1], the Action Research Arm Test (ARAT) [2] and the Wolf Motor Function Test (WMFT) [3] in order to select the most clinically meaningful ones for the final score provided to patients and therapist, and evaluate their capability to predict or even improve some aspects of these standard scales. All four tests were performed in 38 separate sessions in 19 post-stroke individuals in their sub-acute phase, as part of a broader study. Statistically significant correlation could be shown with the three clinical tests. These preliminary results are promising for the validation of AAA as a fast, automatic and clinically meaningful tool for remote progress assessment and therapy adaptation; however, more data and further analysis is needed to confirm this.en
dc.description.statusPeer reviewed
dc.format.extent4
dc.identifier.citationRodriguez-De-Pablo , C , Balasubramanian , S , Savic , A , Tomic , T D , Konstantinovic , L & Keller , T 2015 , Validating ArmAssist Assessment as outcome measure in upper-limb post-stroke telerehabilitation . in 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 . , 7319424 , Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS , vol. 2015-November , Institute of Electrical and Electronics Engineers Inc. , pp. 4623-4626 , 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 , Milan , Italy , 25/08/15 . https://doi.org/10.1109/EMBC.2015.7319424
dc.identifier.citationconference
dc.identifier.doi10.1109/EMBC.2015.7319424
dc.identifier.isbn9781424492718
dc.identifier.issn1557-170X
dc.identifier.urihttps://hdl.handle.net/11556/2487
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=84953308589&partnerID=8YFLogxK
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
dc.relation.ispartofseriesProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subject.keywordsSignal Processing
dc.subject.keywordsBiomedical Engineering
dc.subject.keywordsComputer Vision and Pattern Recognition
dc.subject.keywordsHealth Informatics
dc.subject.keywordsSDG 3 - Good Health and Well-being
dc.titleValidating ArmAssist Assessment as outcome measure in upper-limb post-stroke telerehabilitationen
dc.typeconference output
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