利用肌肉力学分析上肢康复:利用肌力图信号的当前和未来观点

R. Uwamahoro, K. Sundaraj, I. Subramaniam
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引用次数: 1

摘要

肌肉骨骼系统负责人体的运动、力量和姿势。由于频繁从事不同的任务,它很容易受损。此外,肢体的丧失限制了肢体的正常功能。肌肉力学提供了肌肉-骨骼系统当前状态的重要信息。它在筛选肌肉在不同活动中的表现率方面起着广泛的作用。本文旨在从肌力图(MMG)信号在上肢肌肉功能评估和辅助技术方面提供对肌肉力学的理解。除了分析MMG的应用外,还重点介绍了信号的采集、处理、污染、相关特征参数及其在功能康复和假肢控制中的应用。由于邻近肌肉和身体运动产生的噪声,这里介绍了未来的高级渲染技术投影。文献的死亡也证实了这一点,这些文献已证明上肢辅助技术,失去的运动功能恢复和临床实践需要准确性。
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Analysis of upper limb rehabilitation using muscle mechanics: current and future perspectives using Mechanomyography signals
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.
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