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Gait Study of Parkinson’s Disease Subjects Using Haptic Cues with A Motorized Walker

机译:电动助步车触觉提示对帕金森氏病受试者的步态研究

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摘要

Gait abnormalities are one of the distinguishing symptoms of patients with Parkinson’s disease (PD) that contribute to fall risk. Our study compares the gait parameters of people with PD when they walk through a predefined course under different haptic speed cue conditions (1) without assistance, (2) pushing a conventional rolling walker, and (3) holding onto a self-navigating motorized walker under different speed cues. Six people with PD were recruited at the New York Institute of Technology College of Osteopathic Medicine to participate in this study. Spatial posture and gait data of the test subjects were collected via a VICON motion capture system. We developed a framework to process and extract gait features and applied statistical analysis on these features to examine the significance of the findings. The results showed that the motorized walker providing a robust haptic cue significantly improved gait symmetry of PD subjects. Specifically, the asymmetry index of the gait cycle time was reduced from 6.7% when walking without assistance to 0.56% and below when using a walker. Furthermore, the double support time of a gait cycle was reduced by 4.88% compared to walking without assistance.
机译:步态异常是帕金森氏病(PD)患者的明显症状之一,可导致跌倒风险。我们的研究比较了PD患者在不同的触觉提示条件下通过预定路线行走时的步态参数(1)没有帮助,(2)推动传统的滚动助行器,以及(3)握住自动导航的电动助行器在不同的速度提示下。纽约技术学院骨病医学学院招募了六名PD患者参加这项研究。通过VICON运动捕捉系统收集测试对象的空间姿势和步态数据。我们开发了一个处理和提取步态特征的框架,并对这些特征进行了统计分析,以检验发现的意义。结果表明,电动助行器提供了强大的触觉提示,可显着改善PD受试者的步态对称性。具体地,步态周期时间的不对称指数从无助时的6.7%降低到使用助行器时的0.56%及以下。此外,与无助步行相比,步态周期的双支撑时间减少了4.88%。

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