Reliable Neural-Interface Technology (RE-NET)
Abstract
Wounded warriors with amputated limbs cannot fully exploit recent advances in prosthetic-limb technology because the neural interfaces used to extract limb-control information are low-performance and unreliable. The goal of the Reliable Neural-Interface Technology (RE-NET) program is to develop the technology and systems needed to reliably extract information from the nervous system at the scale and rate necessary to control state-of-the-art high-performance prosthetic limbs. In support of this goal, the RE-NET program is developing methods to quantitatively assess, model, predict, and accelerate the leading causes of neural interface degradation and failure. The program will also increase the channel-count (amount information) of reliable peripheral-nervous-system interfaces and increase the operational lifetime (reliability) of central-nervous-system interfaces. Through this focus on reliability and high-level performance, the RE-NET program will enable clinically relevant technology transitions in support of wounded warriors. This effort continues in FY 2012 in PE 0602115E, Project BT-01.
Document Details
- Document Type
- Accomplishment
- Publication Date
- Oct 01, 2013
- Source ID
- 671c0bc6b82b840d580e21b4040448eb