【論文摘要】An Advanced Method for Gait Analysis via Multiscale Entropy of Parkinson's Disease Patients

【論文摘要】以先進多尺度熵分析法應用於巴金森氏患者的步態分析

謝元綸(Yuan-Lun Hsieh) ； Maysam Abbod

《物理治療》 46卷4期 (2021/12) Pp. 285-285

https://doi.org/10.6215/FJPT.202112.O07

摘要

Background and Purpose: Parkinson's disease is a common neurodegenerative disease with a significant impact on patients' gait. Although there are several methods for identifying gait impairments, one method-ground reaction force analysis-uses advanced methods such as multiscale entropy (MSE) to identify the impairments. The goal of this study is to predict gait impairments of Parkinson's disease patients and compare them to healthy people. Methods: Data from the PhysioNet repository were used in this study, which included 21 patients with Parkinson's disease with Hoehn and Yahr scale stages 2-3 and 5 healthy controls. Measurements are performed by asking the subjects to walk at their usual speed for 2 minutes. Eight sensors were placed inside the shoe insoles on each foot to measure ground reaction forces. The analysis is divided into two parts: the first part (T1) for the first 20 seconds and the second part (T2) for the remainder of the time, i.e., from 21 seconds to 2 minutes. Results: When the MSE of T1 was compared between Parkinson's disease and healthy controls, 5 of 8 left foot sensors and 6 of 8 right foot sensors showed a significant difference (p ＜ 0.05), with the larger values being for Parkinson's disease. Furthermore, T2 data yielded similar results. Significance differences were found in 7 left foot sensors and 4 right foot sensors. According to findings, gait MSE is larger in patients with gait impairment and may need more time to adjust than in healthy counterparts. However, the interesting part is that Parkinson's disease patients have slower gait speed than healthy controls (p = 0.003). Conclusions: Although patients with Parkinson's disease seemed to utilize more force while walking, the force did not eventually transform into propulsion force needed in the gait cycle, as evidenced by gait speed results. Using MSE analysis, subtle differences in the quality of ground reaction force can be found and used to predict the possible gait impairments in Parkinson's disease. Clinical Relevance: The results provide an alternative quantitative measurement for gait analysis in Parkinson's disease using MSE analysis.