ECE Graduate Seminar
<p> You are cordially inviated to attend the following seminar:</p> <p> </p> <p> Department of Electrical & Computer Engineering </p> <p> Old Dominion University </p> <p> Empirical Modeling of Asynchronous</p> <p> Scalp Recorded and</p> <p> Intracranial EEG Potentials</p> <p> </p> <p> by</p> <p> Ms. Komalpreet Kaur</p> <p> Ph.D. Candidate</p> <p> Department of Electrical & Computer Engineering</p> <p> Old Dominion University</p> <p> Friday, January 31, 2014</p> <p> 3:00 p.m. KH 224</p> <p> </p> <p> Brain Computer Interface (BCI) is a system that allows people with severe neuromuscular disorders to communicate and control devices using their brain signals. Most of the BCIs are based on scalp recorded electroencephalogram (s-EEG). Performance of s-EEG based BCIs has generally stagnated in recent years. Recently intracranial EEG (i-EEG), which is recorded from the cortical surface or the hippocampus, has been successfully used to control the BCI. i-EEG provides superior SNR, spatial resolution and broader bandwidth compared to s-EEG. Better understanding of the underlying neural phenomenon can improve the BCI performance. This talk describes a linear model developed between s-EEG and i-EEG using empirical data collected from human subjects.</p> <p> </p> <p> </p> <p> </p>
Posted By: Linda Marshall
Date: Fri Jan 31 11:10:32 EST 2014