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

Jack W Judy1

  • 1Microsystems Technology Office, DARPA, Arlington, Virginia, USA. jack.judy@ieee.org

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|April 7, 2012
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Summary

The Defense Advanced Research Projects Agency (DARPA) launched the Reliable Neural Technology (RE-NET) Program to advance neuroprosthetics for amputees. This initiative aims to create reliable neural interfaces for controlling robotic limbs throughout an amputee's lifetime.

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Area of Science:

  • Biomedical Engineering
  • Neuroscience
  • Rehabilitation Technology

Background:

  • A long history of innovation in neural-recording interfaces exists.
  • Transitioning advanced neuroprosthesis technology to clinical use presents key challenges.
  • Amputated service members require advanced prosthetic solutions.

Purpose of the Study:

  • To develop new technology for extracting information from the nervous system.
  • To enable reliable control of modern robotic prostheses.
  • To ensure the technology functions over the lifetime of the amputee.

Main Methods:

  • The Reliable Neural Technology (RE-NET) Program is underway.
  • The program encompasses three distinct efforts: histology for interface stability over time (HIST), reliable peripheral interfaces (RPIs), and reliable central nervous system (CNS) interfaces (RCIs).

Main Results:

  • Focus on developing technology for high-scale and high-rate neural information extraction.
  • Aiming for robust neural interface stability and long-term functionality.
  • Addressing challenges in both peripheral and central nervous system interfaces.

Conclusions:

  • The RE-NET program is crucial for advancing neuroprosthetic technology.
  • Reliable neural interfaces are key to restoring function for amputees.
  • Continued innovation is needed for lifetime clinical use of neuroprostheses.