Muscle-to-action mapping for intuitive training of muscle synergies in post-stroke upper-limb rehabilitation.

IF 5.2 2区 医学 Q1 ENGINEERING, BIOMEDICAL
Hangil Lee, Jeong-Ho Park, Joon-Ho Shin, Jinsook Roh, Hyung-Soon Park
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引用次数: 0

Abstract

Background: Effective motor task execution relies on precise muscle coordination, which is often disrupted after a stroke, leading to impaired motor functions. Post-stroke, alterations in intermuscular coordination, including abnormal coupling of shoulder abductor muscles, are commonly observed and contribute to these impairments. Traditional rehabilitation often overlooks this complex intermuscular coordination, and there is a need for intuitive strategies to modify abnormal muscle synergies.

Objective: This study introduced a novel "muscle-to-action mapping" approach to alter activation profiles of stroke affected muscle synergies. Muscle-to-action mapping trains complex muscle synergies by mapping them to intuitive motions or force directions. By mimicking target actions, patients can achieve desired muscle activation patterns. The feasibility of this approach for correcting abnormal intermuscular coordination and improving force control during reaching was tested in stroke survivors.

Methods: A force tracking training system using muscle-to-action mapping was developed to modify abnormal synergy activation profiles during isokinetic reaching tasks. The system guided muscle activation by predicting the direction of endpoint force needed to activate specific muscle synergies, deviating from habitual patterns. The system's effectiveness was evaluated in eleven chronic stroke survivors, measuring changes in muscle synergies, endpoint force control, and clinical assessment scores.

Results: The intervention significantly enhanced targeted muscle synergy activations and endpoint force control, demonstrating the training's ability to induce desired muscle synergy activation profiles through muscle-to-action mapping. The overall structure of muscle synergies remained mostly unchanged post-training, highlighting the potential to modify activation profiles without altering synergy vectors. Functional improvements were reflected in the Fugl-Meyer Assessment for the Upper Extremity and Wolf Motor Function Test scores, which increased by 3.36 and 6.45 points, respectively.

Conclusion: This study validates muscle-to-action mapping for training muscle synergy activation profiles in stroke survivors. Using a biomechanical model to generate endpoint forces, this method effectively altered synergy activation profiles and improved force control during reaching tasks, leading to clinical improvements. These findings indicate that muscle-to-action mapping could be a valuable addition to stroke rehabilitation, offering an intuitive method for enhancing intermuscular coordination and motor recovery.

Trial registration: Registered in Clinical Research Information System of Korea National Institute of Health (KCT0005803).

脑卒中后上肢康复中肌肉协同作用直观训练的肌肉-动作映射。
背景:有效的运动任务执行依赖于精确的肌肉协调,中风后肌肉协调经常中断,导致运动功能受损。中风后,肌肉间协调的改变,包括肩外展肌的异常耦合,通常被观察到,并导致这些损伤。传统的康复往往忽略了这种复杂的肌肉间协调,需要直观的策略来修改异常的肌肉协同作用。目的:本研究介绍了一种新的“肌肉-动作映射”方法来改变中风影响肌肉协同作用的激活谱。肌肉到动作映射训练复杂的肌肉协同作用映射到直观的运动或力的方向。通过模仿目标动作,患者可以达到所需的肌肉激活模式。这种方法的可行性,纠正异常的肌肉间协调和改善力量控制在到达中风幸存者进行了测试。方法:开发了一种使用肌肉到动作映射的力跟踪训练系统,以修改等速到达任务时异常的协同激活剖面。该系统通过预测激活特定肌肉协同作用所需的端点力的方向来引导肌肉激活,偏离习惯模式。在11名慢性中风幸存者中评估了该系统的有效性,测量了肌肉协同作用、终点力控制和临床评估评分的变化。结果:干预显著增强了目标肌肉协同激活和终点力控制,表明训练能够通过肌肉-动作映射诱导所需的肌肉协同激活曲线。肌肉协同作用的整体结构在训练后基本保持不变,这突出了在不改变协同矢量的情况下改变激活谱的潜力。功能改善反映在Fugl-Meyer上肢评估和Wolf运动功能测试分数上,分别提高了3.36分和6.45分。结论:本研究验证了脑卒中幸存者肌肉协同激活图谱训练的肌肉-动作映射。该方法利用生物力学模型生成端点力,有效地改变了协同激活曲线,改善了完成任务时的力控制,从而改善了临床效果。这些发现表明,肌肉到动作映射可能是中风康复的一个有价值的补充,为增强肌肉间协调和运动恢复提供了一种直观的方法。试验注册:在韩国国立卫生研究院临床研究信息系统注册(KCT0005803)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of NeuroEngineering and Rehabilitation
Journal of NeuroEngineering and Rehabilitation 工程技术-工程:生物医学
CiteScore
9.60
自引率
3.90%
发文量
122
审稿时长
24 months
期刊介绍: Journal of NeuroEngineering and Rehabilitation considers manuscripts on all aspects of research that result from cross-fertilization of the fields of neuroscience, biomedical engineering, and physical medicine & rehabilitation.
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