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Kinematic and Kinetic Patterns Related to Free-Walking in Parkinson’s Disease

The 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-wa...

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Autores principales: Martínez, Martín, Villagra, Federico, Castellote, Juan Manuel, Pastor, María A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308417/
https://www.ncbi.nlm.nih.gov/pubmed/30513798
http://dx.doi.org/10.3390/s18124224
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author Martínez, Martín
Villagra, Federico
Castellote, Juan Manuel
Pastor, María A.
author_facet Martínez, Martín
Villagra, Federico
Castellote, Juan Manuel
Pastor, María A.
author_sort Martínez, Martín
collection PubMed
description The 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%.
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spelling pubmed-63084172019-01-04 Kinematic and Kinetic Patterns Related to Free-Walking in Parkinson’s Disease Martínez, Martín Villagra, Federico Castellote, Juan Manuel Pastor, María A. Sensors (Basel) Article The 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%. MDPI 2018-12-01 /pmc/articles/PMC6308417/ /pubmed/30513798 http://dx.doi.org/10.3390/s18124224 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This 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/).
spellingShingle Article
Martínez, Martín
Villagra, Federico
Castellote, Juan Manuel
Pastor, María A.
Kinematic and Kinetic Patterns Related to Free-Walking in Parkinson’s Disease
title Kinematic and Kinetic Patterns Related to Free-Walking in Parkinson’s Disease
title_full Kinematic and Kinetic Patterns Related to Free-Walking in Parkinson’s Disease
title_fullStr Kinematic and Kinetic Patterns Related to Free-Walking in Parkinson’s Disease
title_full_unstemmed Kinematic and Kinetic Patterns Related to Free-Walking in Parkinson’s Disease
title_short Kinematic and Kinetic Patterns Related to Free-Walking in Parkinson’s Disease
title_sort kinematic and kinetic patterns related to free-walking in parkinson’s disease
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308417/
https://www.ncbi.nlm.nih.gov/pubmed/30513798
http://dx.doi.org/10.3390/s18124224
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