A 25.2mW EEG-NIRS Multimodal SoC for Accurate Anesthesia Depth Monitoring

📋 论文概要

该论文提出了一款25.2mW的EEG-NIRS多模态SoC，用于精准麻醉深度监测。通过结合脑电图和近红外光谱技术，弥补了传统仅基于EEG的BIS方法在信号失真和特殊药物响应方面的局限性。

💡 主要创新点

• 首次集成了EEG和NIRS两种模态的模拟前端和数字处理，实现互补感知以提高麻醉深度监测准确性。
• 低功耗设计（25.2mW）满足便携式监测需求，并能在多种干扰环境下稳定工作。

🏷 关键词

📄 原文摘要

monitoring of the quantitative anesthesia (ANES) depth level for safe surgery [1]. However, the current ANES depth monitoring approach, bispectral index (BIS) [3], uses only EEG from the frontal lobe, and it shows critical limitations in the monitoring of ANES depth such as signal distortion due to electrocautery, EMG and dried gel, and false response to the special types of anesthetic drugs [3]. Near-infrared spectroscopy (NIRS) is complementary to EEG [2], and can not only compensate for the distorted depth level, but also assess the effects of various anesthetic drugs. In spite of its importance, a unified ANES monitoring system using EEG/NIRS together has not been reported because NIRS signals have widely different dynamic ranges (10pA

👥 作者与机构

Unsoo Ha1, Jaehyuk Lee1, Jihee Lee1, Kwantae Kim1, Minseo Kim1,

Taehwan Roh2, Sangsik Choi3, Hoi-Jun Yoo1 KAIST, Daejeon, Korea K-Healthwear, Daejeon, Korea 3 Korea University Guro Hospital, Seoul, Korea 1 2 There has been recent research into continuous