首页> 外文会议>IMECE2008;ASME international mechanical engineering congress and exposition >INTENTION TREMOR IN MULTIPLE SCLEROSIS: MEASURING AND MODELLING ARM DYNAMICS AND ELBOW TORQUE
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INTENTION TREMOR IN MULTIPLE SCLEROSIS: MEASURING AND MODELLING ARM DYNAMICS AND ELBOW TORQUE

机译:多发性硬化症的意向性紧张:手臂动力学和肘部扭矩的测量和建模

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This paper reports on a project to measure and control tremor in individuals with multiple sclerosis (MS). It discusses systems for measuring and modelling upper limb movements and intention tremor, together with initial movement measurement and torque modelling data.The system uses microelectromechanical systems (MEMS) sensors to measure movements of the upper limb representative of everyday tasks. Surface electromyogram (EMG) measurements are taken simultaneously to provide gross muscle activity data. A dynamic model is used to simulate the movements, allowing particular sites to be studied in detail.Initial movement data is presented, comparing analysed EMG data and torque estimated by the dynamic model around the elbow joint. Despite the simple analysis, a good fit was obtained.The dynamic model includes a neuromuscular modelling system which will be used in future work to simulate the interactions between measured movements containing intention tremor and the intention behind them, allowing better understanding of the tremor and creating better descriptions of the tremor.Future work will use measured data and modelling to develop methods of attenuating intention tremor, by providing real-time feedback control of tremor reduction devices, without adversely affecting the underlying intended movement.
机译:本文报告了一个测量和控制多发性硬化症(MS)患者震颤的项目。它讨论了用于测量和建模上肢运动和意向震颤的系统,以及初始运动测量和扭矩建模数据。 该系统使用微机电系统(MEMS)传感器来测量代表日常任务的上肢运动。同时进行表面肌电图(EMG)测量以提供总体肌肉活动数据。动态模型用于模拟运动,从而可以对特定部位进行详细研究。 呈现初始运动数据,比较分析的EMG数据和由肘关节周围的动态模型估算的扭矩。尽管进行了简单的分析,但仍获得了很好的拟合度。 动态模型包括一个神经肌肉建模系统,该系统将在以后的工作中用来模拟包含意图震颤及其背后意图的测得运动之间的相互作用,从而更好地了解震颤并创建关于震颤的更好描述。 未来的工作将使用测得的数据和模型,通过提供减震设备的实时反馈控制,来开发减轻意图震颤的方法,而不会不利地影响潜在的预期运动。

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