基于泰勒级数近似的神经刺激器指数电流产生电路

2018 IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA) Pub Date : 2018-11-01 DOI:10.1109/CICTA.2018.8705718

Z. Wu, Xu Liu, Milin Zhang, Wensi Wang

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引用次数: 2

摘要

提出了一种用于神经刺激器的指数电流产生电路。与传统的指数电流产生电路相比，该电路具有更高的带宽和更小的误差(2.34%)。所提出的指数电流产生电路的输出范围从1.16到75.36 $\mu A$。该电路采用180nm CMOS技术设计，电源电压为1.8 v。

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An Exponential Current Generation Circuit Using the Taylor Series Approximation for Neural Stimulators

An exponential current generation circuit for neural stimulators is presented. Compared to the conventional exponential current generation circuits, the proposed circuit features higher bandwidth and a smaller error of 2.34%. The output of the proposed exponential current generation circuit ranges from 1.16 to 75.36 $\mu A$. This circuit is designed in a 180-nm CMOS technology under 1.8-V supply voltage.

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来源期刊

2018 IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA)

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