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dc.contributor.authorMorales Vidal, Ricardo
dc.contributor.authorBadesa Clemente, Francisco Javier
dc.contributor.authorGarcía Aracil, Nicolás
dc.contributor.authorAranda López, Juan
dc.contributor.authorCasals Gelpi, Alicia
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.contributor.otherInstitut de Bioenginyeria de Catalunya
dc.date.accessioned2015-06-17T08:29:57Z
dc.date.created2015-01-01
dc.date.issued2015-01-01
dc.identifier.citationMorales, R. [et al.]. Autoadaptive neurorehabilitation robotic system assessment with a post-stroke patient. "Revista iberoamericana de automática e informática industrial", 01 Gener 2015, vol. 12, núm. 1, p. 92-98.
dc.identifier.issn1697-7912
dc.identifier.urihttp://hdl.handle.net/2117/28330
dc.description.abstractThis paper presents a new rehabilitation system that is able to adapt its performance to patient's psychophysiological state during the execution of robotic rehabilitation tasks. Using this approach, the motivation and participation of the patient during rehabilitation activity can be maximized. In this paper, the results of the study with healthy subjects presented in (Badesa et al., 2014b) have been extended for using them with patients who have suffered a stroke. In the first part of the article, the different components of the adaptive system are exposed, as well as a comparison of different machine learning techniques to classify the patient's psychophysiological state between three possible states: stressed, average excitation level and relaxed are presented. Finally, the results of the auto-adaptive system which modifies the behavior of the rehabilitation robot and virtual task in function of measured physiological signals are shown for a patient in the chronic phase of stroke.
dc.format.extent7 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Informàtica::Robòtica
dc.subject.lcshRobotics in medicine
dc.subject.lcshCerebrovascular disease -- Patients -- Rehabilitation
dc.subject.otherPhysiological state
dc.subject.otherMultimodal interfaces
dc.subject.otherRehabilitation robotics
dc.subject.otherControl
dc.subject.otherEstado fisiológico
dc.subject.otherInterfaces multimodales
dc.subject.otherRobótica de rehabilitación
dc.subject.otherControl
dc.titleAutoadaptive neurorehabilitation robotic system assessment with a post-stroke patient
dc.typeArticle
dc.subject.lemacRobòtica en medicina
dc.subject.lemacMalalties cerebrovasculars -- Pacients -- Rehabilitació
dc.contributor.groupUniversitat Politècnica de Catalunya. GRINS - Grup de Recerca en Robòtica Intel·ligent i Sistemes
dc.identifier.doi10.1016/j.riai.2014.11.007
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://www.sciencedirect.com/science/article/pii/S1697791214000867#
dc.rights.accessRestricted access - publisher's policy
drac.iddocument15452170
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
upcommons.citation.authorMorales, R.; Badesa, F.; García Aracil, Nicolás; Aranda, J.; Casals, A.
upcommons.citation.publishedtrue
upcommons.citation.publicationNameRevista iberoamericana de automática e informática industrial
upcommons.citation.volume12
upcommons.citation.number1
upcommons.citation.startingPage92
upcommons.citation.endingPage98


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