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Autoadaptive neurorehabilitation robotic system assessment with a post-stroke patient
dc.contributor.author | Morales Vidal, Ricardo |
dc.contributor.author | Badesa Clemente, Francisco Javier |
dc.contributor.author | García Aracil, Nicolás |
dc.contributor.author | Aranda López, Juan |
dc.contributor.author | Casals Gelpí, Alicia |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial |
dc.contributor.other | Institut de Bioenginyeria de Catalunya |
dc.date.accessioned | 2015-06-17T08:29:57Z |
dc.date.created | 2015-01-01 |
dc.date.issued | 2015-01-01 |
dc.identifier.citation | Morales, 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.issn | 1697-7912 |
dc.identifier.uri | http://hdl.handle.net/2117/28330 |
dc.description.abstract | This 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.extent | 7 p. |
dc.language.iso | eng |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Robòtica |
dc.subject.lcsh | Robotics in medicine |
dc.subject.lcsh | Cerebrovascular disease -- Patients -- Rehabilitation |
dc.subject.other | Physiological state |
dc.subject.other | Multimodal interfaces |
dc.subject.other | Rehabilitation robotics |
dc.subject.other | Control |
dc.subject.other | Estado fisiológico |
dc.subject.other | Interfaces multimodales |
dc.subject.other | Robótica de rehabilitación |
dc.subject.other | Control |
dc.title | Autoadaptive neurorehabilitation robotic system assessment with a post-stroke patient |
dc.type | Article |
dc.subject.lemac | Robòtica en medicina |
dc.subject.lemac | Malalties cerebrovasculars -- Pacients -- Rehabilitació |
dc.contributor.group | Universitat Politècnica de Catalunya. GRINS - Grup de Recerca en Robòtica Intel·ligent i Sistemes |
dc.identifier.doi | 10.1016/j.riai.2014.11.007 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://www.sciencedirect.com/science/article/pii/S1697791214000867# |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 15452170 |
dc.description.version | Postprint (published version) |
dc.date.lift | 10000-01-01 |
local.citation.author | Morales, R.; Badesa, F.; García Aracil, Nicolás; Aranda, J.; Casals, A. |
local.citation.publicationName | Revista iberoamericana de automática e informática industrial |
local.citation.volume | 12 |
local.citation.number | 1 |
local.citation.startingPage | 92 |
local.citation.endingPage | 98 |
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