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Real-Time Simulation of Three-Dimensional Shoulder Girdle and Arm Dynamics

机译:三维肩带和手臂动力学的实时仿真

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摘要

Electrical stimulation is a promising technology for the restoration of arm function in paralysed individuals. Control of the paralysed arm under electrical stimulation, however, is a challenging problem that requires advanced controllers and command interfaces for the user. A real-time model describing the complex dynamics of the arm would allow user-in-the-loop type experiments where the command interface and controller could be assessed. Real-time models of the arm previously described have not included the ability to model the independently controlled scapula and clavicle, limiting their utility for clinical applications of this nature. The goal of this study therefore was to evaluate the performance and mechanical behaviour of a real-time, dynamic model of the arm and shoulder girdle. The model comprises seven segments linked by eleven degrees of freedom and actuated by 138 muscle elements. Polynomials were generated to describe the muscle lines of action to reduce computation time, and an implicit, first-order Rosenbrock formulation of the equations of motion was used to increase simulation step-size. The model simulated flexion of the arm faster than real time, simulation time being 92% of actual movement time on standard desktop hardware. Modelled maximum isometric torque values agreed well with values from the literature, showing that the model simulates the moment-generating behaviour of a real human arm. The speed of the model enables experiments where the user controls the virtual arm and receives visual feedback in real time. The ability to optimise potential solutions in simulation greatly reduces the burden on the user during development.
机译:电刺激是恢复瘫痪者手臂功能的一种有前途的技术。然而,在电刺激下对瘫痪手臂的控制是一个挑战性的问题,需要用户使用先进的控制器和命令界面。描述手臂复杂动态特性的实时模型将允许用户在环类型的实验中评估命令界面和控制器。先前描述的手臂的实时模型尚未包括对独立控制的肩cap骨和锁骨进行建模的能力,从而限制了其在这种性质的临床应用中的实用性。因此,本研究的目的是评估手臂和肩带的实时,动态模型的性能和机械性能。该模型包括由11个自由度链接并由138个肌肉元素激活的七个段。生成多项式来描述动作的肌肉线以减少计算时间,并且使用运动方程式的隐式一阶Rosenbrock公式来增加模拟步长。该模型模拟手臂的弯曲比实时快,模拟时间是标准台式机硬件上实际移动时间的92%。建模的最大等距扭矩值与文献中的值非常吻合,表明该模型模拟了真实人手臂的力矩生成行为。模型的速度使用户可以控制虚拟手臂并实时接收视觉反馈的实验。在仿真中优化潜在解决方案的能力极大地减轻了开发过程中用户的负担。

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