Jain Aditi, Fogleman Eric, Botros Paul, Vatsyayan Ritwik, Koruprolu Asish, Pochet Corentin, Bourhis Andrew, Liu Zhaoyi, Chethan Suhas, Le Hanh-Phuc, Galton Ian, Dayeh Shadi A, Hall Drew A
Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA 92093 USA.
IEEE J Solid-State Circuits. 2025 Mar;60(3):894-907. doi: 10.1109/jssc.2024.3508544. Epub 2024 Dec 18.
Neural stimulation is used routinely to diagnose and treat neurological disorders. However, the stimulation artifacts are problematic for closed-loop neuromodulation therapy, which dynamically adjusts the electrical stimulation parameters based on real-time feedback from recording neural activity, because they can cause saturation or prolonged recovery times in traditional recording front-ends. This paper presents a per-pixel 2-order ADC for direct digitization of neural signals, which addresses the stimulation artifact recovery time in voltage-controlled oscillator (VCO)-based quantizers with a fast-recovery, overrange-detecting phase quantizer. The ADC uses a pseudo-virtual ground feedforwarding (PVG FF) technique and a complementary input filter with per-pixel decimation. It supports four recording modes covering 2.5-20 kSps through a power-efficient, bandwidth-scalable continuous time modulator. Fabricated in a 180-nm CMOS process, this 300×300 μm ADC achieves >250× faster (0.05-0.4 ms) stimulation artifact recovery time, enabling in-stimulation recording. Recording with artifact tolerance was demonstrated through an whisker barrel rat experiment.
神经刺激常用于诊断和治疗神经疾病。然而,对于闭环神经调节疗法而言,刺激伪迹是个问题,因为在传统记录前端中,它们可能导致饱和或恢复时间延长,而闭环神经调节疗法是基于记录神经活动的实时反馈来动态调整电刺激参数的。本文提出了一种用于神经信号直接数字化的逐像素二阶模数转换器(ADC),该转换器通过具有快速恢复、过范围检测功能的相位量化器解决了基于压控振荡器(VCO)的量化器中的刺激伪迹恢复时间问题。该ADC采用了伪虚拟地前馈(PVG FF)技术和具有逐像素抽取功能的互补输入滤波器。它通过一个高效节能、带宽可扩展的连续时间调制器支持四种记录模式,采样率范围为2.5 - 20 kSps。该300×300μm的ADC采用180nm CMOS工艺制造,其刺激伪迹恢复时间快了250倍以上(0.05 - 0.4毫秒),实现了刺激过程中的记录。通过胡须桶大鼠实验证明了其具有对伪迹的耐受性记录能力。