학술논문

Brain interface research for asynchronous control applications
Document Type
Periodical
Source
IEEE Transactions on Neural Systems and Rehabilitation Engineering IEEE Trans. Neural Syst. Rehabil. Eng. Neural Systems and Rehabilitation Engineering, IEEE Transactions on. 14(2):160-164 Jun, 2006
Subject
Bioengineering
Computing and Processing
Robotics and Control Systems
Signal Processing and Analysis
Communication, Networking and Broadcast Technologies
Control systems
Switches
Communication system control
International collaboration
Application software
Mice
Bismuth
Engines
Error analysis
Brain modeling
Assistive technology
asynchronous control
brain–computer interface (BCI)
functional model
invasive neural recordings
neuroprosthesis
pattern recognition
self-paced
spinal cord injury
statistical signal processing
taxonomy
Language
ISSN
1534-4320
1558-0210
Abstract
The Neil Squire Society has developed asynchronous, direct brain switches for self-paced control applications with mean activation rates of 73% and false positive error rates of 2%. This report summarizes our results to date, lessons learned, and current directions, including research into implanted brain interface designs.