Neural Interfaces for Upper-Limb Prosthesis Control: Opportunities to Improve Long-Term Reliability

Author

Judy, Jack W.

Author_Institution

Microsyst. Technol. Office, DARPA, Arlington, VA, USA

Volume

3

Issue

2

fYear

2012

fDate

3/1/2012 12:00:00 AM

Firstpage

57

Lastpage

60

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).

Keywords

artificial limbs; brain-computer interfaces; medical robotics; peripheral interfaces; DARPA; Defense Advanced Research Projects Agency; RE-NET Program; Reliable Neural Technology Program; advanced neuroprosthesis technology; amputated service members; interface stability histology; long term reliability; modern robotic prosthesis control; neural interfaces; neural recording interfaces; reliable central nervous system interfaces; reliable peripheral interfaces; upper limb prosthesis control; Data mining; Degradation; Investments; Measurement; Prosthetics; Real time systems; Artificial Limbs; Bioengineering; Humans; Man-Machine Systems; Neural Prostheses;

fLanguage

English

Journal_Title

Pulse, IEEE

Publisher

ieee

ISSN

2154-2287

Type

jour

DOI

10.1109/MPUL.2011.2181026

Filename

6173100