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用于上肢假肢控制的神经接口:提高长期可靠性的机遇。

Neural interfaces for upper-limb prosthesis control: opportunities to improve long-term reliability.

作者信息

Judy Jack W

机构信息

Microsystems Technology Office, DARPA, Arlington, Virginia, USA.

出版信息

IEEE Pulse. 2012 Mar;3(2):57-60. doi: 10.1109/MPUL.2011.2181026.

Abstract

Building on a long history of innovation in neural-recording interfaces, the Defense Advanced Research Projects Agency (DARPA) has launched a program to address the key challenges related to transitioning advanced neuroprosthesis technology to clinical use for amputated service members. The goal of the Reliable Neural Technology (RE-NET) Program is to develop new technology to extract information from the nervous system at a scale and rate needed to reliably control modern robotic prostheses over the lifetime of the amputee. The RE-NET program currently encompasses three separate efforts: histology for interface stability over time (HIST), reliable peripheral interfaces (RPIs), and reliable central nervous system (CNS) interfaces (RCIs).

摘要

基于在神经记录接口方面悠久的创新历史,美国国防高级研究计划局(DARPA)启动了一个项目,以应对与将先进神经假体技术转化为截肢服役人员临床应用相关的关键挑战。可靠神经技术(RE-NET)项目的目标是开发新技术,以截肢者一生所需的规模和速率从神经系统中提取信息,从而可靠地控制现代机器人假肢。RE-NET项目目前包括三项独立的工作:随时间保持接口稳定性的组织学(HIST)、可靠的外周接口(RPI)和可靠的中枢神经系统(CNS)接口(RCI)。

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