An 8-Channel Scalable EEG Acquisition SoC with Fully Integrated Patient-Specific Seizure Classification and Recording Processor

📋 论文概要

该论文提出了一款8通道可扩展的脑电图(EEG)采集SoC，集成了患者特定的癫痫发作分类与记录功能。它解决了患者间癫痫模式差异、超低功耗可变动态范围仪器电路与检测处理器的全集成，以及通信开销降低等挑战。

💡 主要创新点

• 在芯片上本地提取EEG特征以减少通信开销。
• 实现了全集成超低功耗可变动态范围仪器电路与癫痫检测处理器。
• 支持患者特定的癫痫发作分类，适应个体差异。

🏷 关键词

📄 原文摘要

Institute of Technology, Cambridge, MA 4 Massachusetts General Hospital, Harvard Medical School, Cambridge, MA 5 KAIST, Daejeon, Korea 1 2 Tracking seizure activity to determine proper medication requires a small form factor, ultra-low power sensor with continuous EEG classification. Technical challenges arise from: 1) patient-to-patient variation of seizure pattern on EEG, 2) fully integrating an ultra-low power variable dynamic range instrumentation circuits with seizure detection processor, and 3) reducing communication overhead. Reference [1] extracted EEG features locally on-chip to reduce the data being transmitted, and saved power by 1/14 when compared to raw EEG data transmission. However, it still needs data transmission and off-chip classification to detect and to store seizure activity. This paper presents an ultra-

👥 作者与机构

Jerald Yoo1, Long Yan2, Dina El-Damak3, Muhammad Bin Altaf1,

Ali Shoeb4, Hoi-Jun Yoo5, Anantha Chandrakasan3 Masdar Institute of Science and Technology, Abu Dhabi, United Arab Emirates imec, Leuven, Belgium 3 Massachusetts