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Modified Newton-Raphson Method to Tune Feedback Gains of Control System for Standing by Functional Neuromuscular Stimulation Following Spinal Cord Injury

机译:改进的牛顿-拉夫森方法来调整控制系统的反馈增益,以控制脊髓损伤后功能性神经肌肉的刺激

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Background: Functional neuromuscular stimulation (FNS) can restore standing capabilities following spinal cord injury.Feedback control of these systems can optimize performance by reducing the required upper extremity support. However, tuningthese control systems can be intensive and clinically inconvenient.Objective: This case study investigated a clinical method to efficiently tune feedback gains for a control system utilizingfeedback of total body center of mass acceleration to modulate stimulation levels to targeted paralyzed musculature of the lowerextremities and trunk.Methods: Gains for this control system were tuned to minimize the stabilization loading by one arm against internal posturalperturbations volitionally-generated during manipulation of an object using the other arm. An algorithm based on a modifiedform of the Newton-Raphson method was employed to find the optimal feedback gains with lower subject effort than that todetermine the original tuning curves.Results: This method accurately (<6.2% error) approximated the optimal gains with 70% fewer manipulations by the subject.Conclusions: These results suggest that optimal feedback gains for the specific FNS control system can be determinedsystematically with considerably less effort than heuristic gain tuning. This demonstrates the potential for devising simple,convenient methods for effective system re-tuning during clinical usage.
机译:背景:功能性神经肌肉刺激(FNS)可以在脊髓损伤后恢复站立能力,这些系统的反馈控制可以通过减少所需的上肢支撑来优化性能。然而,调整这些控制系统可能会很费力并且在临床上不方便。目的:本案例研究研究了一种临床方法,该方法可有效地利用控制系统的质量重心的反馈来调节控制系统的反馈增益,从而将刺激水平调节至下肢和下肢的目标瘫痪肌肉组织方法:调整此控制系统的增益,以最大程度地减少一只手臂抵御在使用另一只手臂操作对象时自愿产生的内部姿势扰动的稳定负载。该算法基于牛顿-拉夫森方法的修改形式,以最佳的反馈增益找到比确定原始调谐曲线要低的最佳反馈增益。结果:该方法精确地(误差小于6.2%)近似于70%的最佳增益。结论:这些结果表明,与启发式增益调整相比,系统地确定特定FNS控制系统的最佳反馈增益的工作量要小得多。这证明了为临床使用期间设计简单,便捷的方法进行有效的系统重新调整的潜力。

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