⚡ 本页包含 AI 生成的分析内容,仅供参考
该论文提出了一款用于闭环神经假体系统的生物医学多处理器SoC,集成了多通道神经信号记录、实时信号处理和无线通信功能,解决了传统神经假体系统体积大、功耗高的问题。
University of California, Santa Cruz, CA National Taiwan University, Taipei, Taiwan, 3Stanford University, Stanford, CA 2 Successful proof-of-concept laboratory experiments on cortically controlled motor prostheses [1], brain pacemakers [2] and hippocampal prostheses [3] motivate continued development for neural prosthetic systems. Advances in implantable electrode arrays [4] and miniaturized multichannel recording ICs [5-6] enable long-duration, wireless and closed-loop experiments on freely moving subjects. To further improve clinically viable neural prostheses, the bulk associated with external systems must be eliminated. Thus a miniaturized processing-and-controlling system interfacing recording ICs and actuators in real time is required [7]. Low power consumption and minimized area are two primary requirements for implantable devices. Significant computational capabilities are needed to
Tung-Chien Chen1,2, Kuanfu Chen1, Zhi Yang1, Kimberly Cockerham3, Wentai Liu1