⚡ 本页包含 AI 生成的分析内容，仅供参考
本文提出了一种基于VCO的神经记录前端，实现了±50mV的线性输入范围，并通过数字非线性校正技术提高了线性度，解决了传统前端在处理刺激伪影时动态范围不足的问题。该设计适用于闭环神经调控中的LFP信号记录。
tool for understanding the brain and driving the progress in neuroscience research and therapy. The local field potential (LFP) signals, which span from 3Hz to about 200Hz, serve as indicators of various neurological behaviors and disorders. Prior integrated LFP recording front-ends are designed for a small-signal input of a few mV, limiting the dynamic range to <60 dB [1-3]. For closed-loop neuromodulation, featuring simultaneous neural recording and stimulation, it is important to observe and understand brain dynamics during stimulation. Stimulation artifacts can range between 10 and 100mV and last for several milliseconds. The stimulation patterns result in significant artifact power inside the LFP band that cannot be filtered using
Wenlong Jiang1, Vahagn Hokhikyan1, Hariprasad Chandrakumar1,
Vaibhav Karkare2, Dejan Markovic1 University of California, Los Angeles, CA, Silicon Laboratories, Sunnyvale, CA 1 2 Neural signal recordings have been an essential