Kamran Iqbal

 

Title Advances in Brain-Machine Interfaces for Interpreting Neural Signals
Abstract

Neural engineering represents a rapidly evolving research area that lies at the confluence of neuroscience, biomedical engineering, and computer and information sciences. Neural engineering aims to develop technologies that link brain signals with man-made devices. Brain-Machine interfaces (BMI) help restore communication with the central nervous system that may have been severed due to traumatic brain injury (TBI), spinal cord injury (SCI), or neurodegenerative disease. The brain signals are tapped via EEG, ECoG, or EMG techniques, and processed and used in building BMIs. The signal processing part emulates the associative abilities and decision making in the human mind. The BMI output is used for restoring communications using a computer, or to generate command signals for wheel chair and other prosthetic devices. Neural motor prosthetics provides a new assistive technology aimed at restoring mobility in severely paralyzed patients. Recent BMI-based gait neurorehabilitation studies have shown significant promise of improving voluntary motor control and restoring locomotion ability in SCI patients. This talk is meant to provide an overview of the rapidly evolving neural engineering discipline. Besides recent advances in neural engineering and brain-machine interfaces, this talk will cover the acquisition and processing of brain signals for designing and building BMIs.

Bio

Professor Kamran Iqbal obtained his BE (Avionics) degree from NUST College of Aeronautical Engineering and his Masters and Ph.D. in Electrical Engineering from the Ohio State University. He has held academic appointments at College of Aeronautical Engineering, GIK Institute of Engineering Sciences and Technology, the Ohio State University, Northwestern University, University of California, Riverside, University and California, Irvine, California State University at Fullerton, and University of Arkansas at Little Rock, where he is currently employed as Professor of Systems Engineering. Dr. Iqbal’s research interests include neuro-mechanics of human movement, myoelectric control of prostheses, and biomedical engineering and signal processing. Dr. Iqbal is a senior member of IEEE, member of IET (UK), IASTED, ASEE, and Sigma Xi. More information on him is available at http://ualr.edu/systemsengineering/personnel/faculty/kamran-iqbal/.