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-m...
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-12-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/18/12/4224 |
| _version_ | 1828281662946934784 |
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| author | Martín Martínez Federico Villagra Juan Manuel Castellote María A. Pastor |
| author_facet | Martín Martínez Federico Villagra Juan Manuel Castellote María A. Pastor |
| author_sort | Martín Martínez |
| collection | DOAJ |
| 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%. |
| first_indexed | 2024-04-13T08:18:55Z |
| format | Article |
| id | doaj.art-68b2d35396d746a5aab1d360a459d6a5 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T08:18:55Z |
| publishDate | 2018-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-68b2d35396d746a5aab1d360a459d6a52022-12-22T02:54:42ZengMDPI AGSensors1424-82202018-12-011812422410.3390/s18124224s18124224Kinematic and Kinetic Patterns Related to Free-Walking in Parkinson’s DiseaseMartín Martínez0Federico Villagra1Juan Manuel Castellote2María A. Pastor3Neuroimaging Laboratory, Division of Neurosciences, CIMA University of Navarra, Applied Medical Research, 31008 Pamplona, SpainNeuroimaging Laboratory, Division of Neurosciences, CIMA University of Navarra, Applied Medical Research, 31008 Pamplona, SpainErgonomics and Human Factors Unit, National School of Occupational Medicine, Carlos III Institute of Health, 28029 Madrid, SpainNeuroimaging Laboratory, Division of Neurosciences, CIMA University of Navarra, Applied Medical Research, 31008 Pamplona, SpainThe 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%.https://www.mdpi.com/1424-8220/18/12/4224Parkinson’s diseasefree-walkingbilateral coordinationkinematicskineticspressure-sensitive insole sensorsmachine learning |
| spellingShingle | Martín Martínez Federico Villagra Juan Manuel Castellote María A. Pastor Kinematic and Kinetic Patterns Related to Free-Walking in Parkinson’s Disease Sensors Parkinson’s disease free-walking bilateral coordination kinematics kinetics pressure-sensitive insole sensors machine learning |
| 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 | Parkinson’s disease free-walking bilateral coordination kinematics kinetics pressure-sensitive insole sensors machine learning |
| url | https://www.mdpi.com/1424-8220/18/12/4224 |
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