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dc.contributor.authorMartínez, Martín 
dc.contributor.authorVillagra, Federico
dc.contributor.authorCastellote, Juan Manuel 
dc.contributor.authorPastor, María A
dc.date.accessioned2020-03-25T13:03:52Z
dc.date.available2020-03-25T13:03:52Z
dc.date.issued2018-12-01
dc.identifier.citationSensors (Basel). 2018 Dec 1;18(12). pii: E4224.es_ES
dc.identifier.issn1424-8220es_ES
dc.identifier.urihttp://hdl.handle.net/20.500.12105/9330
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.publisherMDPIes_ES
dc.relation.isversionofPublisher's versiones_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectParkinson’s diseasees_ES
dc.subjectbilateral coordinationes_ES
dc.subjectfree-walkinges_ES
dc.subjectkinematicses_ES
dc.subjectkineticses_ES
dc.subjectmachine learninges_ES
dc.subjectpressure-sensitive insole sensorses_ES
dc.subject.meshAdult es_ES
dc.subject.meshAlgorithms es_ES
dc.subject.meshBiomechanical Phenomena es_ES
dc.subject.meshFemale es_ES
dc.subject.meshGait es_ES
dc.subject.meshHumans es_ES
dc.subject.meshMale es_ES
dc.subject.meshMiddle Aged es_ES
dc.subject.meshParkinson Disease es_ES
dc.subject.meshPressure es_ES
dc.subject.meshWalking es_ES
dc.subject.meshShoes es_ES
dc.titleKinematic and Kinetic Patterns Related to Free-Walking in Parkinson's Diseasees_ES
dc.typeArtículoes_ES
dc.rights.licenseAtribución 4.0 Internacional*
dc.identifier.pubmedID30513798es_ES
dc.format.volume18es_ES
dc.format.number12es_ES
dc.format.page4224es_ES
dc.identifier.doi10.3390/s18124224es_ES
dc.contributor.funderInstituto de Salud Carlos III - ISCIIIes_ES
dc.description.peerreviewedes_ES
dc.identifier.e-issn1424-8220es_ES
dc.relation.publisherversionhttps://doi.org/10.3390/s18124224es_ES
dc.identifier.journalSensors (Basel, Switzerland)es_ES
dc.repisalud.centroISCIII::Escuela Nacional de Sanidades_ES
dc.repisalud.institucionISCIIIes_ES
dc.relation.projectIDInfo:eu-repo/grantAgreement/ESPY-1281/15es_ES
dc.relation.projectIDInfo:eu-repo/grantAgreement/ESPY-112/18es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


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Atribución 4.0 Internacional
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