A Closed-Loop Neuromodulation Chipset with 2-Level Classification Achieving 1.5Vpp CM Interference

📋 论文概要

该论文提出了一种用于癫痫患者的闭环神经调节芯片组，通过2级分类架构和斩波稳定电容耦合放大器，实现了1.5Vpp共模干扰容限、35dB刺激伪影抑制（0.5ms内）和97.8%灵敏度，解决了传感电路中的共模干扰、刺激伪影、电极失调和1/f噪声等非理想因素。

💡 主要创新点

• 采用2级分类架构实现患者特异性癫痫发作的精准检测，提高刺激精度。
• 集成斩波稳定电容耦合放大器与前馈共模抵消技术，显著增强共模干扰和刺激伪影抑制能力。
• 在0.5ms内实现35dB的刺激伪影抑制，满足闭环系统快速响应的需求。

🏷 关键词

📄 原文摘要

Aerosemi Technology, Xi'an, China 1 2 In closed-loop neuromodulators for epilepsy patients, nonidealities such as common-mode interference (CMI), stimulation artifacts (SA), electrode DC offset (DCO) and 1/f noise bring challenges for the sensing circuit to capture EEG signals (<1mV) and for the backend classifier to detect patient-specific seizures accurately for precise stimulation. Chopper-stabilized capacitive-coupled instrument amplifiers (CS-CCIA) are widely used to suppress DCO and 1/f noise [1-3], and feedforward CM cancelling (CMC) is further added in [2] but still shows limited CMI tolerance (<650mVpp). The SA rejection in [4] requires 3s response time, which is too long for real-time SA rejection. Also, the accurate classifier in [5]

👥 作者与机构

Tolerance, 35dB Stimulation Artifact Rejection in 0.5ms, and 97.8% Sensitivity Seizure Detection

Yuwei Wang1, Quan Sun1, Hongrui Luo1, Xinlei Chen2, Xiaofei Wang3, Hong Zhang1 Xi'an Jiaotong University, Xi'an, China Hangzhou Nuowei Medical Technology, Hangzhou, China 3 Xi'an