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dc.creatorMartinez, M. (Martín)-
dc.creatorVillagra, F. (Federico)-
dc.creatorCastellote, J.M. (Juan Manuel)-
dc.creatorPastor, M.A. (María A.)-
dc.date.accessioned2022-10-06T08:19:28Z-
dc.date.available2022-10-06T08:19:28Z-
dc.date.issued2018-
dc.identifier.citationMartinez, M. (Martín); Villagra, F. (Federico); Castellote, J.M. (Juan Manuel); et al. "Kinematic and kinetic patterns related to free-walking in Parkinson's disease". SENSORS. 18 (12), 2018, 4224es_ES
dc.identifier.issn1424-8220-
dc.identifier.urihttps://hdl.handle.net/10171/64394-
dc.description.abstractThe aim of this study is to compare the properties of free-walking at a natural pace between mild Parkinson’s disease (PD) patients during the ON-clinical status and two control groups. In-shoe pressure-sensitive insoles were used to quantify the temporal and force characteristics of a 5-min free-walking in 11 PD patients, in 16 young healthy controls, and in 12 age-matched healthy controls. Inferential statistics analyses were performed on the kinematic and kinetic parameters to compare groups’ performances, whereas feature selection analyses and automatic classification were used to identify the signature of parkinsonian gait and to assess the performance of group classification, respectively. Compared to healthy subjects, the PD patients’ gait pattern presented significant differences in kinematic parameters associated with bilateral coordination but not in kinetics. Specifically, patients showed an increased variability in double support time, greater gait asymmetry and phase deviation, and also poorer phase coordination. Feature selection analyses based on the ReliefF algorithm on the differential parameters in PD patients revealed an effect of the clinical status, especially true in double support time variability and gait asymmetry. Automatic classification of PD patients, young and senior subjects confirmed that kinematic predictors produced a slightly better classification performance than kinetic predictors. Overall, classification accuracy of groups with a linear discriminant model which included the whole set of features (i.e., demographics and parameters extracted from the sensors) was 64.1%es_ES
dc.description.sponsorshipThis research was carried out in part thanks to grants ESPY-1281/15 and ESPY-112/18 from Instituto de Salud Carlos III to J.M.C.es_ES
dc.language.isoenges_ES
dc.publisherMDPI AGes_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.subjectParkinson’s diseasees_ES
dc.subjectFree-walkinges_ES
dc.subjectBilateral coordinationes_ES
dc.subjectKinematicses_ES
dc.subjectKineticses_ES
dc.subjectPressure-sensitive insole sensorses_ES
dc.subjectMachine learninges_ES
dc.titleKinematic and kinetic patterns related to free-walking in Parkinson's diseasees_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.description.noteThis article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).es_ES
dc.identifier.doi10.3390/s18124224-
dadun.citation.number12es_ES
dadun.citation.publicationNameSENSORSes_ES
dadun.citation.startingPage4224es_ES
dadun.citation.volume18es_ES

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