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Functional principal component analysis as a new methodology for the analysis of the impact of two rehabilitation protocols in functional recovery after stroke

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Functional principal component analysis as a new methodology for the analysis of the impact of two rehabilitation protocols in functional recovery after stroke

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dc.contributor.author Sánchez-Sánchez, M.L: es_ES
dc.contributor.author Belda Lois, Juan Manuel es_ES
dc.contributor.author Mena Del Horno, Silvia es_ES
dc.contributor.author Viosca Herrero, Enrique es_ES
dc.contributor.author Gisbert-Morant, B. es_ES
dc.contributor.author Igual-Camacho, C. es_ES
dc.contributor.author Bermejo Bosch, Ignacio es_ES
dc.date.accessioned 2016-06-13T10:57:37Z
dc.date.available 2016-06-13T10:57:37Z
dc.date.issued 2014-09-10
dc.identifier.issn 1743-0003
dc.identifier.uri http://hdl.handle.net/10251/65742
dc.description.abstract [EN] Background: This study addressed the problem of evaluating the effectiveness of two protocols of physiotherapy for functional recovery after stroke. In particular, the study explored the use of Functional Principal Component Analysis (FPCA), a multivariate data analysis in order to assess and clarify the process of regaining independence after stroke. Methods: A randomized double-blind controlled trial was performed. Thirteen subjects with residual hemiparesis after a single stroke episode were measured in both in- and outpatient settings at a district hospital. All subjects were able to walk before suffering the stroke and were hemodynamically stable within the first week after stroke. Control and target groups were treated with conventional physiotherapy for stroke, but specific techniques were added for treatment of the target group depending on patients' functional levels. Independence level was assessed with the Barthel Index (BI) throughout 7 evolution stages (hemodynamic stability, beginning of standing, beginning of physical therapy sessions in the physiotherapy ward and monthly assessment for 6 months after stroke). Results: FPCA was applied for data analysis. Statistically significant differences were found in the dynamics of the recovery process between the two physiotherapy protocols. The target group showed a trend of improvement six months after stroke that was not present in the control group. Conclusions: FPCA is a method which may be used to provide greater insight into the analysis of the rehabilitation process than that provided by conventional parametric methods. So, by using the whole curves as basic data parameters, subtle differences in the rehabilitation process can be found. FPCA represents a future aid for the fine analysis of similar physiotherapy techniques, when applied in subjects with a huge variability of functional recovery, as in the case of post-stroke patients. es_ES
dc.description.sponsorship This contribution has been carried out with financial support from the European Commission within the Seventh Framework Programme under contract FP7-ICT-2009-247935: BETTER BNCI-dr. The authors wish to thank the Stroke Rehabilitation Team of Hospital Universitari i Politecnic La Fe (Valencia, Spain), specially Dr. M.R. Beseler, physiotherapist M. Matas and physiotherapist A. Estaun. We also gratefully acknowledge patients who have participated in this study with great enthusiasm. en_EN
dc.language Inglés es_ES
dc.publisher BioMed Central es_ES
dc.relation.ispartof Journal of NeuroEngineering and Rehabilitation es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Stroke es_ES
dc.subject Functional principal components analysis es_ES
dc.subject Rehabilitation es_ES
dc.subject Physiotherapy es_ES
dc.subject Functional recovery es_ES
dc.subject.classification INGENIERIA MECANICA es_ES
dc.title Functional principal component analysis as a new methodology for the analysis of the impact of two rehabilitation protocols in functional recovery after stroke es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1186/1743-0003-11-134
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/247935/EU/BNCI-driven Robotic Physical Therapies in Stroke Rehabilitation of Gait Disorders/
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Mecánica y de Materiales - Departament d'Enginyeria Mecànica i de Materials es_ES
dc.description.bibliographicCitation Sánchez-Sánchez, M.; Belda Lois, JM.; Mena Del Horno, S.; Viosca Herrero, E.; Gisbert-Morant, B.; Igual-Camacho, C.; Bermejo Bosch, I. (2014). Functional principal component analysis as a new methodology for the analysis of the impact of two rehabilitation protocols in functional recovery after stroke. Journal of NeuroEngineering and Rehabilitation. 11:1-9. https://doi.org/10.1186/1743-0003-11-134 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1186/1743-0003-11-134 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 9 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 11 es_ES
dc.relation.senia 286087 es_ES
dc.identifier.pmid 25208616 en_EN
dc.identifier.pmcid PMC4246446 en_EN
dc.contributor.funder European Commission


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