Atypical Gait Cycles in Parkinson’s Disease
| Autor: | Laura Rizzi, Michele Lanotte, Valentina Agostini, Marco Ghislieri, Marco Knaflitz |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
medicine.medical_specialty
Parkinson's disease human locomotion Population Walking TP1-1185 01 natural sciences Biochemistry Article Analytical Chemistry 03 medical and health sciences 0302 clinical medicine Gait (human) Physical medicine and rehabilitation medicine foot-floor contact Parkinson’s disease statistical gait analysis UPDRS Humans Electrical and Electronic Engineering education Instrumentation Heel strike Gait Gait Disorders Neurologic education.field_of_study business.industry Foot Forefoot Chemical technology 010401 analytical chemistry Parkinson Disease Foot-floor contact Human locomotion Statistical gait analysis Gait cycle medicine.disease Atomic and Molecular Physics and Optics 0104 chemical sciences Gait analysis Cadence business human activities 030217 neurology & neurosurgery |
| Zdroj: | Sensors Volume 21 Issue 15 Sensors, Vol 21, Iss 5079, p 5079 (2021) Sensors (Basel, Switzerland) |
| ISSN: | 1424-8220 |
| DOI: | 10.3390/s21155079 |
| Popis: | It is important to find objective biomarkers for evaluating gait in Parkinson’s Disease (PD), especially related to the foot and lower leg segments. Foot-switch signals, analyzed through Statistical Gait Analysis (SGA), allow the foot-floor contact sequence to be characterized during a walking session lasting five-minutes, which includes turnings. Gait parameters were compared between 20 PD patients and 20 age-matched controls. PDs showed similar straight-line speed, cadence, and double-support compared to controls, as well as typical gait-phase durations, except for a small decrease in the flat-foot contact duration (−4% of the gait cycle, p = 0.04). However, they showed a significant increase in atypical gait cycles (+42%, p = 0.006), during both walking straight and turning. A forefoot strike, instead of a “normal” heel strike, characterized the large majority of PD’s atypical cycles, whose total percentage was 25.4% on the most-affected and 15.5% on the least-affected side. Moreover, we found a strong correlation between the atypical cycles and the motor clinical score UPDRS-III (r = 0.91, p = 0.002), in the subset of PD patients showing an abnormal number of atypical cycles, while we found a moderate correlation (r = 0.60, p = 0.005), considering the whole PD population. Atypical cycles have proved to be a valid biomarker to quantify subtle gait dysfunctions in PD patients. |
| Databáze: | OpenAIRE |
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