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用于下肢缺失者步态再训练的移动反馈系统的可行性——技术说明

Feasibility of a mobile feedback system for gait retraining in people with lower limb loss-A technical note.

作者信息

Fiedler Goeran, Kutina Krista

机构信息

University of Pittsburgh, Pittsburgh, PA, USA.

出版信息

J Rehabil Assist Technol Eng. 2019 Jan 14;6:2055668318813682. doi: 10.1177/2055668318813682. eCollection 2019 Jan-Dec.

Abstract

Gait retraining in people with musculoskeletal and/or neurological impairments requires sustained dedicated efforts by the patient and the rehabilitation therapist. Various technical approaches have been proposed and utilized to improve the effectiveness of training interventions. Among the most promising approaches is the provision of real-time feedback information to the patient, which has been used with success on treadmill-based interventions in the past. We are describing a mobile visual feedback system that is intended to work in the user's everyday-life environment. The data are captured by a small mobile load cell, processed in a wearable computer, and displayed to the user via smart-glasses. Preliminary testing of the initially selected feedback variable stance/step ratio (i.e., the duration of a step's stance phase in relation to the overall step's duration) confirmed that data quality is sufficient for purposes of generating feedback information and that the chosen variable is responsive to changes in gait symmetry. The presented work may inform future studies and developments on the topic of mobile visual feedback for gait rehabilitation.

摘要

对患有肌肉骨骼和/或神经损伤的人进行步态再训练需要患者和康复治疗师持续付出专注的努力。已经提出并采用了各种技术方法来提高训练干预的效果。最有前景的方法之一是向患者提供实时反馈信息,过去这种方法已成功应用于基于跑步机的干预措施。我们正在描述一种旨在在用户日常生活环境中工作的移动视觉反馈系统。数据由一个小型移动称重传感器采集,在可穿戴计算机中进行处理,并通过智能眼镜显示给用户。对最初选择的反馈变量站立/步幅比(即一步的站立阶段持续时间与整个步幅持续时间的关系)进行的初步测试证实,数据质量足以生成反馈信息,并且所选变量对步态对称性的变化有反应。所展示的工作可能为未来关于步态康复的移动视觉反馈主题的研究和发展提供参考。

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