Age Matters: Objective Gait Assessment in Early Parkinson’s Disease Using an RGB-D Camera
Background. Gait alterations are hallmarks for the diagnosis and follow-up of patients with Parkinson’s disease (PD). In normal conditions, age could affect gait dynamics. Although it is known that objective assessment of gait is a valuable tool for diagnosis and follow-up of patients with PD, only...
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Language: | English |
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Wiley
2019-01-01
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Series: | Parkinson's Disease |
Online Access: | http://dx.doi.org/10.1155/2019/5050182 |
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author | Beatriz Muñoz Ospina Jaime Andrés Valderrama Chaparro Juan David Arango Paredes Yor Jaggy Castaño Pino Andrés Navarro Jorge Luis Orozco |
author_facet | Beatriz Muñoz Ospina Jaime Andrés Valderrama Chaparro Juan David Arango Paredes Yor Jaggy Castaño Pino Andrés Navarro Jorge Luis Orozco |
author_sort | Beatriz Muñoz Ospina |
collection | DOAJ |
description | Background. Gait alterations are hallmarks for the diagnosis and follow-up of patients with Parkinson’s disease (PD). In normal conditions, age could affect gait dynamics. Although it is known that objective assessment of gait is a valuable tool for diagnosis and follow-up of patients with PD, only few studies evaluate the effect of aging on the gait pattern of patients with PD. Objective. The purpose of this study was to assess differences in gait dynamics between PD patients and healthy subjects and to investigate the effects of aging on these differences using a low-cost RGB-D depth-sensing camera. Methods. 30 PD patients and 30 age-matched controls were recruited. Descriptive analysis was used for clinical variables, and Spearman’s rank correlation was used to correlate age and gait variables. The sample was distributed in age groups; then, Mann–Whitney U test was used for comparison of gait variables between groups. Results. PD patients exhibited prolonged swing (p=0.002) and stance times (p<0.001) and lower speed values (p<0.001) compared to controls. This was consistent in all age groups, except for the one between 76 and 88 years old, in which the controls were slower and had longer swing and stance times. These results were statically significant for the group from 60 to 66 years. Conclusion. Gait speed, swing, and stance times are useful for differentiating PD patients from controls. Quantitative gait parameters measured by an RGB-D camera can complement clinical assessment of PD patients. The analysis of these spatiotemporal variables should consider the age of the subject. |
format | Article |
id | doaj-art-620bb71112194640bc54696c540bdd81 |
institution | Kabale University |
issn | 2090-8083 2042-0080 |
language | English |
publishDate | 2019-01-01 |
publisher | Wiley |
record_format | Article |
series | Parkinson's Disease |
spelling | doaj-art-620bb71112194640bc54696c540bdd812025-02-03T01:11:17ZengWileyParkinson's Disease2090-80832042-00802019-01-01201910.1155/2019/50501825050182Age Matters: Objective Gait Assessment in Early Parkinson’s Disease Using an RGB-D CameraBeatriz Muñoz Ospina0Jaime Andrés Valderrama Chaparro1Juan David Arango Paredes2Yor Jaggy Castaño Pino3Andrés Navarro4Jorge Luis Orozco5Fundación Valle del Lili, Departamento de Neurología, Cra 98 #18-49, Cali 760032, ColombiaFundación Valle del Lili, Departamento de Neurología, Cra 98 #18-49, Cali 760032, Colombiai2t Research Group, Universidad Icesi, Cl. 18 #122-135, Cali, Colombiai2t Research Group, Universidad Icesi, Cl. 18 #122-135, Cali, Colombiai2t Research Group, Universidad Icesi, Cl. 18 #122-135, Cali, ColombiaFundación Valle del Lili, Departamento de Neurología, Cra 98 #18-49, Cali 760032, ColombiaBackground. Gait alterations are hallmarks for the diagnosis and follow-up of patients with Parkinson’s disease (PD). In normal conditions, age could affect gait dynamics. Although it is known that objective assessment of gait is a valuable tool for diagnosis and follow-up of patients with PD, only few studies evaluate the effect of aging on the gait pattern of patients with PD. Objective. The purpose of this study was to assess differences in gait dynamics between PD patients and healthy subjects and to investigate the effects of aging on these differences using a low-cost RGB-D depth-sensing camera. Methods. 30 PD patients and 30 age-matched controls were recruited. Descriptive analysis was used for clinical variables, and Spearman’s rank correlation was used to correlate age and gait variables. The sample was distributed in age groups; then, Mann–Whitney U test was used for comparison of gait variables between groups. Results. PD patients exhibited prolonged swing (p=0.002) and stance times (p<0.001) and lower speed values (p<0.001) compared to controls. This was consistent in all age groups, except for the one between 76 and 88 years old, in which the controls were slower and had longer swing and stance times. These results were statically significant for the group from 60 to 66 years. Conclusion. Gait speed, swing, and stance times are useful for differentiating PD patients from controls. Quantitative gait parameters measured by an RGB-D camera can complement clinical assessment of PD patients. The analysis of these spatiotemporal variables should consider the age of the subject.http://dx.doi.org/10.1155/2019/5050182 |
spellingShingle | Beatriz Muñoz Ospina Jaime Andrés Valderrama Chaparro Juan David Arango Paredes Yor Jaggy Castaño Pino Andrés Navarro Jorge Luis Orozco Age Matters: Objective Gait Assessment in Early Parkinson’s Disease Using an RGB-D Camera Parkinson's Disease |
title | Age Matters: Objective Gait Assessment in Early Parkinson’s Disease Using an RGB-D Camera |
title_full | Age Matters: Objective Gait Assessment in Early Parkinson’s Disease Using an RGB-D Camera |
title_fullStr | Age Matters: Objective Gait Assessment in Early Parkinson’s Disease Using an RGB-D Camera |
title_full_unstemmed | Age Matters: Objective Gait Assessment in Early Parkinson’s Disease Using an RGB-D Camera |
title_short | Age Matters: Objective Gait Assessment in Early Parkinson’s Disease Using an RGB-D Camera |
title_sort | age matters objective gait assessment in early parkinson s disease using an rgb d camera |
url | http://dx.doi.org/10.1155/2019/5050182 |
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