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Surface Electromyography Provides Neuromuscular Insights for Skill Acquisition in Microgravity. 表面肌电图为微重力下的技能习得提供神经肌肉洞察。
Matthew Yough, Kacie Hanna, Sergiy Yakovenko, Valeriya Gritsenko

The human motor system has evolved to perform efficient motor control in Earth's gravity. Altered gravity environments, such as microgravity and hypergravity, pose unique challenges for performing fine motor tasks with object manipulation. Altered gravity has been shown to reduce the speed and accuracy of complex manual tasks. This study aims to leverage electromyography (EMG) and virtual reality (VR) technologies to provide insights into the neuromuscular mechanism of object weight compensation. Seven healthy subjects were recruited to perform arm and hand movements, including a customized Box and Block Test with three different block weights, 0 (VR), 0.02, and 0.1 kg. EMG was recorded from 15 muscles of arm and hand while manipulating objects instrumented with force sensors to collect contact forces. Muscle co-contraction extracted from EMGs of antagonistic muscles was used as a measure of joint stiffness for each task. Results show that the co-contraction levels increased in the task with the heavy object and decreased in the VR task. This relationship suggests that the internal expectations of the object weight and the proprioceptive and haptic feedback from the contact with the object are driving the co-contraction of antagonistic muscles.

人类的运动系统已经进化到在地球重力下进行有效的运动控制。改变的重力环境,如微重力和超重力,对物体操作的精细运动任务提出了独特的挑战。重力的改变已被证明会降低复杂手工任务的速度和准确性。本研究旨在利用肌电图(EMG)和虚拟现实(VR)技术来深入了解物体重量补偿的神经肌肉机制。招募7名健康受试者进行手臂和手部运动,包括定制的方块和方块测试,使用3种不同的方块重量,0 (VR), 0.02和0.1 kg。在操纵装有力传感器的物体以收集接触力时,记录手臂和手的15块肌肉的肌电图。从肌电信号中提取的肌肉共收缩被用作每个任务的关节刚度的测量。结果表明,在有重物的任务中,共收缩水平增加,而在VR任务中,共收缩水平下降。这种关系表明,对抗性肌肉的共同收缩是由对物体重量的内在期望和接触物体时的本体感觉和触觉反馈驱动的。
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Proceedings. International Astronautical Congress
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