A 0.19×0.17mm2 Wireless Neural Recording IC for Motor Prediction with Near-Infrared-Based Power and Data Telemetry

📋 论文概要

该论文提出了一款尺寸仅为0.19×0.17mm²的无线神经记录芯片，用于运动预测。它采用近红外（NIR）技术实现无线供电和数据传输，解决了传统植入式系统有线连接带来的组织损伤和感染风险。

💡 主要创新点

• 首次在神经记录芯片中采用近红外（NIR）进行无线功率和数据遥测，避免了有线连接。
• 实现了极小的芯片面积（0.19×0.17mm²），适合植入式应用。
• 针对运动预测的神经记录应用进行了优化设计。

🏷 关键词

📄 原文摘要

Paras R. Patel1, Parag G. Patil1, Sechang Oh1, Inhee Lee1, Hun-Seok Kim1, Dennis Sylvester1, David Blaauw1, Cynthia A. Chestek1, Jamie Phillips1, Taekwang Jang2 University of Michigan, Ann Arbor, MI ETH Zürich, Zürich, Switzerland 1 2 Brain machine interfaces using neural recording systems [1-4] can enable motor prediction [5-6] for accurate arm and hand control in paralyzed or severely injured individuals. However, implantable systems have historically used wires for data communication and power, increasing risks of tissue damage, infection, and cerebrospinal fluid leakage, rendering these devices unsuitable for long-term implantation (Fig. 26.9.1, top). Recently, several wireless and miniaturized neural recording implants with various power and data transmission methods were proposed. References [7,8] propose an electrocorticography (ECoG) recording system with near-field RF power transfer and bilateral communication, but the

👥 作者与机构

Jongyup Lim1, Eunseong Moon1, Michael Barrow1, Samuel R. Nason1,