Age Matters: Objective Gait Assessment in Early Parkinson’s Disease Using an RGB-D Camera
Autor: | Jorge Luis Orozco, Yor Jaggy Castaño Pino, Andres Navarro, Beatriz Elena Muñoz Ospina, Juan David Arango Paredes, Jaime Andrés Valderrama Chaparro |
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Rok vydání: | 2019 |
Předmět: |
030506 rehabilitation
medicine.medical_specialty Parkinson's disease Article Subject Neuroscience (miscellaneous) lcsh:RC346-429 Objective assessment 03 medical and health sciences 0302 clinical medicine Gait (human) Physical medicine and rehabilitation Age groups medicine lcsh:Neurology. Diseases of the nervous system Rank correlation business.industry Healthy subjects medicine.disease Psychiatry and Mental health Gait analysis Mann–Whitney U test Neurology (clinical) 0305 other medical science business human activities 030217 neurology & neurosurgery Research Article |
Zdroj: | Parkinson's Disease, Vol 2019 (2019) Parkinson's Disease |
ISSN: | 2042-0080 2090-8083 |
DOI: | 10.1155/2019/5050182 |
Popis: | 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. |
Databáze: | OpenAIRE |
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