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Analysis of upper limb rehabilitation using muscle mechanics: current and future perspectives using Mechanomyography signals

机译:使用肌肉力学分析上肢康复:使用机械X线照相术信号的当前和未来观点

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Muscular-skeletal system is responsible for the movement, force and posture of the human body. It is prone to damage due to frequent engagement in different tasks. Moreover, the loss of body limb limits its proper function. Muscle mechanics provides vital information on the current status of muscular-skeletal system. It plays an extensive role in the screening of the performance rate of muscles in different activities that they undergo. This paper intends to provide an understanding of muscle mechanics in terms of mechanomyography (MMG) signals in muscle function assessment and assistive technology for upper limb. Besides analyzing the application of MMG, signal acquisition, processing, contamination, associated characteristic parameters, as well as their application in functional rehabilitation and prosthesis control are also highlighted. Due to the noise generated from adjacent muscles and body movement, future projection of advanced rendering techniques are presented here. This has also been disclosed by a death of literature that has proven required accuracy on upper limb assistive technology, lost motor functions recovery and clinical practice.
机译:肌肉骨骼系统负责人体的运动,力量和姿势。由于经常参与不同的任务,因此容易造成损坏。此外,肢体的丧失限制了其正常功能。肌肉力学提供有关肌肉骨骼系统当前状态的重要信息。它在筛选肌肉进行的不同活动中的表现速度方面起着广泛的作用。本文旨在通过机电功法(MMG)信号,在上肢的肌肉功能评估和辅助技术中提供对肌肉力学的理解。除了分析MMG的应用外,还重点介绍了信号采集,处理,污染,相关的特征参数及其在功能康复和假体控制中的应用。由于相邻肌肉和身体运动产生的噪音,此处介绍了高级渲染技术的未来发展。大量文献也已揭示了这一点,该文献已被证明在上肢辅助技术,运动功能丧失恢复和临床实践方面要求准确。

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