Computational and Applied Math Proseminar

Friday, March 29, 2005, 12:15 p.m. GWC 409

Richard Archibald

Department of Neuroscience, Brown University

Detection of Movement from Single Trail EEG

Abstract Investigation into neural recording and the mechanism that underlie voluntary motion has recently accomplished viable human brain computer interfaces. Currently this technology is in it infancy, but has the potential to be used as a neural prosthetic to restore movement to paralyzed humans. Presented in this talk will be research into the possible utilization of medical imaging techniques and mathematical analysis for non-invasive human brain computer interfaces. Specifically, the extraction of neural source information from electroencephalographic (EEG) recordings, approximated by independent component analysis, demonstrates an improved success rate in detecting movement intent from single trials.

For further information please contact: mittelmann@asu.edu