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Feedback controlled electrical nerve stimulation: A computer simulation

机译:反馈控制的电神经刺激:计算机模拟

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摘要

The role of repetitive firing in neurophysiologic or neuropsychiatric disorders, such as Parkinson, epilepsy and bipolar type disorders, has always been a topic of medical research as therapies target either the cease of firing or a decrease in its frequency. In electrotherapy, one of the mechanisms to achieve the purpose in point is to apply a low density electric current to the nervous system. In this study, a computer simulation is provided of a treatment in which the stimulation current is computed by nerve fiber cell membrane potential feedback so that the level of the current is automatically instead of manually adjusted. The behavior of the nerve cell is represented by the Hodgkin-Huxley (HH) model, which is slightly modified into a linear model with state dependent coefficients. Due to this modification, the algebraic and differential Riccati equations can be applied, which allows an optimal controller minimizing a quadratic performance index given by the user. Using a controlled current injection can decrease unnecessarily long current injection times that may be harmful to the neuronal network. This study introduces a prototype for a possible future application to a network of neurons as it is more realistic than a single neuron.
机译:重复放电在神经生理或神经精神疾病(如帕金森病,癫痫病和双相情感障碍)中的作用一直是医学研究的主题,因为治疗的目标是停止放电或降低其发生频率。在电疗法中,达到目的的机制之一是向神经系统施加低密度电流。在这项研究中,提供了一种计算机模拟的治疗方法,其中刺激电流是通过神经纤维细胞膜电位反馈来计算的,因此电流的水平是自动的,而不是手动调节的。神经细胞的行为由Hodgkin-Huxley(HH)模型表示,该模型已被略微修改为具有状态相关系数的线性模型。由于此修改,可以应用代数和微分Riccati方程,这使得最优控制器可以将用户给出的二次性能指标最小化。使用受控的电流注入可以不必要地减少可能对神经元网络有害的较长的电流注入时间。这项研究介绍了一个原型,用于将来可能应用于神经元网络,因为它比单个神经元更现实。

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