A Neuroprosthetic SoC with Sensory Feedback Featuring Frequency-Splitting-Based Wireless Power Transfer with 200Mb/s 0.67pJ/b Backscatter Data Uplink and Unsupervised Multi-Class Spike Sorting

📋 论文概要

本文提出了一款用于神经假体的系统级芯片(SoC)，集成了基于频率分割的无线功率传输技术，实现了高效供电和200Mb/s的高速数据通信，并支持感觉反馈功能。解决了高通道神经植入设备中无线供电与数据传输的瓶颈问题。

💡 主要创新点

• 采用频率分割（Frequency-Splitting）的无线功率传输方案，在同一个线圈上同时实现功率传输和高速数据通信。
• 集成感觉反馈功能的神经假体SoC，支持运动皮层信号解码和感觉刺激，提升假肢控制的自然性。
• 实现200Mb/s的高数据率无线传输，满足多通道神经记录和刺激的实时需求。

🏷 关键词

📄 原文摘要

Swarnava Ghosh1, Eric Liu1, Naize Yang1, Junyu Ma1, Hanfeng Cai1, Laura Kondrataviciute1,2, Qiaosong Deng1, Suneil K. Kalia1,2, Andrew G. Richardson3, Ping-Hsuan Hsieh4, Roman Genov1, Xilin Liu1 University of Toronto, Toronto, Canada Toronto Western Hospital, Toronto, Canada 3 University of Pennsylvania, Philadelphia, PA 4 National Tsing Hua University, Hsinchu, Taiwan 1 2 Neuroprosthetic technology has made significant strides in restoring movement for paralyzed individuals by decoding motor cortex signals into commands for prosthetic limbs or exoskeletons. Although high-channel neural implants have enhanced prosthetic control and freedom of movement, the benefits of channel scaling are restricted by the absence of feedback and the steep learning curves required for users. To address this, sensory feedback from prosthetic sensors has been used to modulate the sensory cortex for more stable and

👥 作者与机构

Yu Huang1, Bowen Liu1, Yuhan Hou1, Jianxiong Xu1, Hao You1, Ashley Hung1,