0000000000276343

AUTHOR

Beatriz Gisbert-morant

showing 2 related works from this author

A new methodology based on functional principal component analysis tostudy postural stability post-stroke

2018

[EN] Background. A major goal in stroke rehabilitation is the establishment of more effective physical therapy techniques to recover postural stability. Functional Principal Component Analysis provides greater insight into recovery trends. However, when missing values exist, obtaining functional data presents some difficulties. The purpose of this study was to reveal an alternative technique for obtaining the Functional Principal Components without requiring the conversion to functional data beforehand and to investigate this methodology to determine the effect of specific physical therapy techniques in balance recovery trends in elderly subjects with hemiplegia post-stroke. Methods: A rand…

Male030506 rehabilitationmedicine.medical_specialtymedicine.medical_treatmentINGENIERIA MECANICAFunctional Principal Component AnalysisBiophysicsPostural stabilityHemiplegiaTreatment and control groups03 medical and health sciences0302 clinical medicinePhysical medicine and rehabilitationDouble-Blind MethodRombergmedicineHumansOrthopedics and Sports MedicineLeast-Squares AnalysisPostural BalanceStrokePhysical Therapy ModalitiesAgedBalance (ability)Observer VariationFunctional principal component analysisPrincipal Component AnalysisRehabilitationbusiness.industryPosturographyPosturographyHemodynamicsStroke RehabilitationReproducibility of ResultsMiddle AgedMissing datamedicine.diseaseStrokeTreatment OutcomePrincipal component analysisFemale0305 other medical sciencebusiness030217 neurology & neurosurgery
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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 af…

2014

[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…

Malemedicine.medical_specialtyMultivariate analysismedicine.medical_treatmentINGENIERIA MECANICAHealth InformaticsPhysical medicine and rehabilitationDouble-Blind MethodFunctional principal components analysismedicineHumansStrokePhysiotherapyPhysical Therapy ModalitiesAgedFunctional principal component analysisPrincipal Component AnalysisRehabilitationbusiness.industryRehabilitationStroke RehabilitationMethodologyFunctional recoveryRecovery of Functionmedicine.diseaseFunctional recovery3. Good healthStrokePrincipal component analysisPhysical therapyFemalebusiness
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