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神经纤维的能量最优电刺激

Energy-optimal electrical excitation of nerve fibers.

作者信息

Jezernik Saso, Morari Manfred

机构信息

wiss Federal Institute of Technology (ETH Zürich), Automatic Control Laboratory, Physikstrasse 3, 8092 Zürich, Switzerland.

出版信息

IEEE Trans Biomed Eng. 2005 Apr;52(4):740-3. doi: 10.1109/TBME.2005.844050.

Abstract

We derive, based on an analytical nerve membrane model and optimal control theory of dynamical systems, an energy-optimal stimulation current waveform for electrical excitation of nerve fibers. Optimal stimulation waveforms for nonleaky and leaky membranes are calculated. The case with a leaky membrane is a realistic case. Finally, we compare the waveforms and energies necessary for excitation of a leaky membrane in the case where the stimulation waveform is a square-wave current pulse, and in the case of energy-optimal stimulation. The optimal stimulation waveform is an exponentially rising waveform and necessitates considerably less energy to excite the nerve than a square-wave pulse (especially true for larger pulse durations). The described theoretical results can lead to drastically increased battery lifetime and/or decreased energy transmission requirements for implanted biomedical systems.

摘要

基于解析神经膜模型和动力系统的最优控制理论,我们推导了用于神经纤维电刺激的能量最优刺激电流波形。计算了非泄漏膜和泄漏膜的最优刺激波形。泄漏膜的情况是实际情况。最后,我们比较了刺激波形为方波电流脉冲时和能量最优刺激情况下,激发泄漏膜所需的波形和能量。最优刺激波形是指数上升波形,与方波脉冲相比,激发神经所需的能量要少得多(对于较大的脉冲持续时间尤其如此)。所描述的理论结果可大幅延长植入式生物医学系统的电池寿命和/或降低能量传输要求。

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