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评估机器人辅助神经康复在脑卒中后重新学习运动技能方面的有效性。

Assessing the effectiveness of robot facilitated neurorehabilitation for relearning motor skills following a stroke.

机构信息

Cybernetics Research Group, School of Systems Engineering, University of Reading, Reading, RG6 6AY, UK.

出版信息

Med Biol Eng Comput. 2011 Oct;49(10):1093-102. doi: 10.1007/s11517-011-0799-y. Epub 2011 Jul 21.

DOI:10.1007/s11517-011-0799-y
PMID:21779903
Abstract

A growing awareness of the potential for machine-mediated neurorehabilitation has led to several novel concepts for delivering these therapies. To get from laboratory demonstrators and prototypes to the point where the concepts can be used by clinicians in practice still requires significant additional effort, not least in the requirement to assess and measure the impact of any proposed solution. To be widely accepted a study is required to use validated clinical measures but these tend to be subjective, costly to administer and may be insensitive to the effect of the treatment. Although this situation will not change, there is good reason to consider both clinical and mechanical assessments of recovery. This article outlines the problems in measuring the impact of an intervention and explores the concept of providing more mechanical assessment techniques and ultimately the possibility of combining the assessment process with aspects of the intervention.

摘要

人们越来越意识到机器介导的神经康复的潜力,这导致了几种新颖的治疗方法的概念。要从实验室演示和原型阶段发展到临床医生可以在实践中使用这些概念的阶段,仍然需要付出巨大的努力,尤其是在评估和衡量任何拟议解决方案的影响方面。为了被广泛接受,需要使用经过验证的临床措施进行研究,但这些措施往往是主观的,实施成本高,并且可能对治疗效果不敏感。尽管这种情况不会改变,但有充分的理由同时考虑临床和机械评估恢复情况。本文概述了衡量干预效果的问题,并探讨了提供更多机械评估技术的概念,最终可能将评估过程与干预措施的某些方面结合起来。

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本文引用的文献

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Trends in rehabilitation robotics.康复机器人技术的发展趋势
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