Home /Research /A clinical roadmap for brain-neural machine interfaces: trainees' perspectives on the 2013 international workshop
OTHER

A clinical roadmap for brain-neural machine interfaces: trainees' perspectives on the 2013 international workshop

Sook‐Lei Liew, Harshavardhan A. Agashe, Nikunj Bhagat, Andrew Paek, Thomas C. Bulea

Year
2013
Citations
3

Abstract

Brain-neural machine interfaces (BNMIs) are systems that allow a user to control an artificial device, such as a computer cursor or a robotic limb, through imagined movements that are measured as neural activity. They provide the potential to restore mobility for those with motor deficiencies caused by stroke, spinal cord injury, or limb amputations. Such systems would have been considered a topic of science fiction a few decades ago but are now being increasingly developed in both research and industry. Workers in this area are charged with fabricating BNMIs that are safe, effective, easy to use, and affordable for clinical populations.

Keywords

Brain–computer interfaceArtificial neural networkNeuroprostheticsComputer scienceHuman–computer interactionCursor (databases)Neural systemSpinal cord injuryPhysical medicine and rehabilitationArtificial intelligence

Related papers

Browse all OTHER papers