title: Neural interfaces for upper-limb prosthesis control: opportunities to improve long-term reliability.
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).
authors.affiliation: Microsystems Technology Office, DARPA, Arlington, Virginia, USA. jack.judy@ieee.org
authors.forename: Jack W
authors.initials: JW
authors.lastname: Judy
mesh_terms: D001186:Artificial Limbs; D057005:Bioengineering; D006801:Humans; D008328:Man-Machine Systems; D058117:Neural Prostheses