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结合机器人辅助评估与表面肌电图(sEMG)来评估肌肉疲劳对屈伸平面手腕位置觉的影响。

Coupling Robot-Aided Assessment and Surface Electromyography (sEMG) to Evaluate the Effect of Muscle Fatigue on Wrist Position Sense in the Flexion-Extension Plane.

作者信息

Mugnosso Maddalena, Zenzeri Jacopo, Hughes Charmayne M L, Marini Francesca

机构信息

Motor Learning, Assistive and Rehabilitation Robotics Laboratory, Robotics, Brain and Cognitive Sciences Department, Istituto Italiano di Tecnologia, Genoa, Italy.

Department of Informatics, Bioengineering, Robotics and System Engineering, University of Genoa, Genoa, Italy.

出版信息

Front Hum Neurosci. 2019 Nov 1;13:396. doi: 10.3389/fnhum.2019.00396. eCollection 2019.

Abstract

Proprioception is a crucial sensory modality involved in the control and regulation of coordinated movements and in motor learning. However, the extent to which proprioceptive acuity is influenced by local muscle fatigue is obscured by methodological differences in proprioceptive and fatiguing protocols. In this study, we used high resolution kinematic measurements provided by a robotic device, as well as both frequency and time domain analysis of signals captured via surface electromyography (sEMG) to examine the effects of local muscle fatigue on wrist proprioceptive acuity in 16 physically and neurologically healthy young adults. To this end, participants performed a flexion/extension ipsilateral joint position matching test (JPM), after which a high-resistive robotic task was used to induce muscle fatigue of the flexor carpi radialis (FCR) muscle. The JPM test was then repeated in order to analyze potential changes in proprioceptive acuity. Results indicated that the fatigue protocol had a significant effect on movements performed in flexion direction, with participants exhibiting a tendency to undershoot the target before the fatigue protocol (-1.218°), but overshooting after the fatigue protocol (0.587°). In contrast, in the extension direction error bias values were similar before and after the fatigue protocol as expected (pre = -1.852°, post = -1.237°) and reflected a tendency to undershoot the target. Moreover, statistical analysis indicated that movement variability was not influenced by the fatigue protocol or movement direction. In sum, results of the present study demonstrate that an individual's estimation of wrist joint displacement (i.e., error bias), but not precision (i.e., variability), is affected by muscular fatigue in a sample of neurologically and physically healthy adults.

摘要

本体感觉是一种关键的感觉模态,参与协调运动的控制与调节以及运动学习。然而,本体感觉敏锐度受局部肌肉疲劳影响的程度,因本体感觉和疲劳方案的方法学差异而变得模糊不清。在本研究中,我们使用了机器人设备提供的高分辨率运动学测量,以及通过表面肌电图(sEMG)捕获信号的频域和时域分析,来研究局部肌肉疲劳对16名身体和神经健康的年轻成年人手腕本体感觉敏锐度的影响。为此,参与者进行了同侧屈伸关节位置匹配测试(JPM),之后使用高阻力机器人任务诱导桡侧腕屈肌(FCR)肌肉疲劳。然后重复JPM测试,以分析本体感觉敏锐度的潜在变化。结果表明,疲劳方案对屈曲方向的运动有显著影响,参与者在疲劳方案前有低于目标的趋势(-1.218°),但在疲劳方案后有超过目标的趋势(0.587°)。相比之下,在伸展方向,如预期的那样,疲劳方案前后的误差偏差值相似(前=-1.852°,后=-1.237°),并反映出低于目标的趋势。此外,统计分析表明,运动变异性不受疲劳方案或运动方向的影响。总之,本研究结果表明,在神经和身体均健康的成年人样本中,个体对手腕关节位移的估计(即误差偏差)而非精度(即变异性)受肌肉疲劳影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c59e/6838006/56aaff844a1f/fnhum-13-00396-g001.jpg

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