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一种集成了机器人辅助触觉的虚拟现实系统,用于模拟捏夹任务:慢性中风评估的运动成分。

A virtual reality system integrated with robot-assisted haptics to simulate pinch-grip task: Motor ingredients for the assessment in chronic stroke.

机构信息

School of Mobile Information Engineering, Sun Yat-Sen University, Zhuhai, China.

Department of Physical Medicine and Rehabilitation, Tri-Service General Hospital, School of Medicine, National Defense Medical Center, Taipei, Taiwan.

出版信息

NeuroRehabilitation. 2014;35(3):435-49. doi: 10.3233/NRE-141134.

Abstract

BACKGROUND

Among numerous studies on virtual reality (VR) technology for motor rehabilitation, the majorities have only used it as a motor training system and did not use the kinematic or kinetic information obtained as the basis for therapeutic effect assessment.

OBJECTIVE

Incorporating the kinematic and kinetic information acquired through a robot-assisted VR system on pinch-grip training, this study intends to propose novel motor ingredients represented as indices for the interpretation of motor behaviors and verify the efficacy of them for the assessment in chronic stroke.

METHODS

Clinical trials were conducted on eight stroke patients and clinical assessments were made as the objective standard. Non-parametric test and correlation analysis were performed on results of motor indices and clinical assessments.

RESULTS

Non-parametric test indicated that 50% of the motor indices significantly improved while the others showed a trend of improvement, consisting with the findings in clinical assessments. Correlation analysis showed that the three clinical assessment items were correlated to items in the motor ingredients.

CONCLUSIONS

The proposed motor ingredients gathered from the robot-assisted VR training system were able to contribute to the assessment of therapeutic effect in chronic stroke and were capable for the interpretation of behavior phases.

摘要

背景

在众多虚拟现实 (VR) 技术在运动康复中的研究中,大多数仅将其用作运动训练系统,并未将通过机器人辅助 VR 系统获得的运动学或动力学信息用作治疗效果评估的基础。

目的

本研究将机器人辅助 VR 系统在捏夹训练中获取的运动学和动力学信息纳入其中,旨在提出新的运动成分,并用这些成分来表示运动行为的解释指标,并验证其在慢性脑卒中评估中的功效。

方法

对 8 例脑卒中患者进行临床试验,并以临床评估作为客观标准。对运动指标和临床评估结果进行非参数检验和相关性分析。

结果

非参数检验表明,50%的运动指标明显改善,而其他指标则呈现出改善的趋势,与临床评估结果一致。相关性分析表明,3 项临床评估项目与运动成分的项目相关。

结论

从机器人辅助 VR 训练系统中提取的运动成分有助于评估慢性脑卒中的治疗效果,也可以解释行为阶段。

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