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dc.contributor.authorUrra, Oiane
dc.contributor.authorCasals Gelpi, Alicia
dc.contributor.authorJané Campos, Raimon
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.contributor.otherInstitut de Bioenginyeria de Catalunya
dc.identifier.citationUrra, O.; Casals, A.; Jane, R. Synergy analysis as a tool to design and assess an effective stroke rehabilitation. A: IEEE Engineering in Medicine and Biology Society. "2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)". Chicago: Institute of Electrical and Electronics Engineers (IEEE), 2014, p. 3550-3553.
dc.description.abstractThe poor rehabilitation success rate, including the cases of ineffective and detrimental adaptations, make stroke a leading cause of disability. Thus, it is essential to recognize the mechanisms driving healthy motor recovery to improve such rate. Stroke alters the Synergy Architecture (SA), the modular muscle control system. So SA analysis may constitute a powerful tool to design and assess rehabilitation procedures. However, current impairment scales do not consider the patient’s neuromuscular state. To gain insights into this hypothesis, we recorded multiple myoelectric signals from upper-limb muscles, in healthy subjects, while executing a set of common rehabilitation exercises. We found that SA reveals optimized motor control strategies and the positive effects of the use of visual feedback (VF) on motor control. Furthermore we demonstrate that the right and left arm’s SA share the basic structure within the same subject, so we propose using the unaffected limb’s SA as a reference motion pattern to be reached through rehabilitation.
dc.format.extent4 p.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectÀrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica
dc.subject.lcshCerebrovascular disease -- Patients -- Rehabilitation
dc.subject.otherMotor drives
dc.titleSynergy analysis as a tool to design and assess an effective stroke rehabilitation
dc.typeConference lecture
dc.subject.lemacMalalties cerebrovasculars -- Pacients -- Rehabilitació
dc.contributor.groupUniversitat Politècnica de Catalunya. GRINS - Grup de Recerca en Robòtica Intel·ligent i Sistemes
dc.contributor.groupUniversitat Politècnica de Catalunya. BIOSPIN - Biomedical Signal Processing and Interpretation
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
dc.description.versionPostprint (author’s final draft)
upcommons.citation.authorUrra, O.; Casals, A.; Jane, R.
upcommons.citation.contributorIEEE Engineering in Medicine and Biology Society
upcommons.citation.publicationName2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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