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首页> 外文期刊>Disability and rehabilitation. Assistive technology. >Effects of electromyography-driven robot-aided hand training with neuromuscular electrical stimulation on hand control performance after chronic stroke
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Effects of electromyography-driven robot-aided hand training with neuromuscular electrical stimulation on hand control performance after chronic stroke

机译:肌电图驱动的机器人辅助手部肌肉肌肉电刺激训练对慢性卒中后手部控制性能的影响

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摘要

Purpose: An electromyography-driven robot system integrated with neuromuscular electrical stimulation (NMES) was developed to investigate its effectiveness on post-stroke rehabilitation. Methods: The performance of this system in assisting finger flexion/extension with different assistance combinations was evaluated in five stroke subjects. Then, a pilot study with 20-sessions training was conducted to evaluate the training's effectiveness. Results: The results showed that combined assistance from the NMES-robot could improve finger movement accuracy, encourage muscle activation of the finger muscles and suppress excessive muscular activities in the elbow joint. When assistances from both NMES and the robot were 50% of their maximum assistances, finger-tracking performance had the best results, with the lowest root mean square error, greater range of motion, higher voluntary muscle activations of the finger joints and lower muscle co-contraction in the finger and elbow joints. Upper limb function improved after the 20-session training, indicated by the increased clinical scores of Fugl-Meyer Assessment, Action Research Arm Test and Wolf Motor Function Test. Muscle co-contraction was reduced in the finger and elbow joints reflected by the Modified Ashworth Scale. Conclusions: The findings demonstrated that an electromyography-driven NMES-robot used for chronic stroke improved hand function and tracking performance. Further research is warranted to validate the method on a larger scale.
机译:目的:开发了一种由肌电图驱动的机器人系统,该系统集成了神经肌肉电刺激(NMES),以研究其在中风后康复中的有效性。方法:在五个卒中受试者中评估了该系统在不同辅助组合下辅助手指屈伸的能力。然后,进行了20期培训的初步研究,以评估培训的有效性。结果:结果表明,NMES机器人的综合协助可以提高手指运动的准确性,促进手指肌肉的肌肉活化,并抑制肘关节的过度肌肉活动。当NMES和机器人的协助均占其最大协助的50%时,手指跟踪性能具有最佳效果,均方根误差最小,运动范围更大,手指关节的主动肌肉激活程度更高,而下肢肌肉-手指和肘关节的收缩。经过20次训练后,上肢功能得到改善,Fugl-Meyer评估,行动研究臂测验和狼运动功能测验的临床评分增加表明了这一点。改良的Ashworth量表反映了手指和肘关节的肌肉收缩。结论:研究结果表明,用于慢性中风的肌电图驱动的NMES机器人改善了手功能和跟踪性能。有必要进行进一步的研究以更大规模地验证该方法。

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