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首页> 外文期刊>Advanced Robotics: The International Journal of the Robotics Society of Japan >Clinical-Based Engineering Assessment and Data Interpretation of Hand Strength for Task-Oriented Robotic Rehabilitation
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Clinical-Based Engineering Assessment and Data Interpretation of Hand Strength for Task-Oriented Robotic Rehabilitation

机译：面向任务的机器人康复的基于临床的工程评估和手力数据解释

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摘要

A successful implementation of any effective rehabilitation process using robotics systems must consider both the clinical and engineering issues. Useful results obtained by clinical groups are not widely received in the robotics community. Many engineering works documented do not seem to focus on the crucial clinical problems. The lack of an effective means of communication between the clinical and engineering groups is a major hindrance to any effective rehabilitation process. The main objective of this study is to quantify hand strength in patients experiencing motor disability and loss of function in the hand (e.g., following stroke and spinal cord injury). In the present work, hand strength is measured by using surface electromyography and a force sensor during gripping/pinch tasks. With the development of a robotics system, which will obtain inputs from the clinician's assessment, together with the pre-measurement results at each progress interval and through an interactive control system, the robot will provide appropriate assistance to the patient to achieve specific tasks. This study presents clinical data from hand strength measurements that have been processed and streamlined to facilitate interpretation and characterization, by virtue of the design of experiments and multivariate data analysis data analysis methods. The proposed analysis is able to provide useful data (both statistical data and graphic information) for objective and quantitative assessment towards control applications on the hand rehabilitation device that is being developed.
机译：使用机器人系统成功实施任何有效的康复过程必须同时考虑临床和工程问题。临床团体获得的有用结果并未在机器人界广泛接受。已记录的许多工程作品似乎都没有关注关键的临床问题。临床组和工程组之间缺乏有效的沟通方式是任何有效康复过程的主要障碍。这项研究的主要目的是量化患有运动障碍和手部功能丧失（例如中风和脊髓损伤后）的患者的手部力量。在当前的工作中，在抓握/捏紧任务期间，通过使用表面肌电图和力传感器来测量手的力量。随着机器人系统的开发，该机器人系统将从临床医生的评估中获得输入，并在每个进度间隔并通过交互式控制系统获得预先测量的结果，机器人将为患者提供适当的协助以完成特定任务。这项研究通过实验设计和多变量数据分析数据分析方法，提供了来自手部力量测量的临床数据，这些数据经过处理和精简以利于解释和表征。所提出的分析能够提供有用的数据（统计数据和图形信息），以便对正在开发的手部康复设备上的控制应用进行客观和定量评估。

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