Cart (Loading....) | Create Account
Close category search window
 

Time delay estimator for EEG analysis based on information theory

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Mars, N. ; University of Leiden, Leiden, The Netherlands

The estimation of time delay between simultaneously recorded EEG (electroence-phalographic) signals is important for the determination of the area in the brain which is responsible for the synchronous activity seen during seizures in epilepsy patients. Methods based on the assumption of linear pathways of propagation in the brain -like the cross-correlation function- have been proposed with limited success. We propose a new analysis method -based on information theory- which does not require this assumption. In our approach, the Average Amount of Mutual Information (AAMI) is computed between pairs of signals, for a range of lag-values, analogous to the cross-correlation function. Estimation of AAMI requires the estimation of the simultaneous probability density function of the signal pairs. For this purpose, an iterative estimation procedure has been developed. Simulations on artificial signals, as well as applications to real EEG signals, show that this procedure is an improvement over the use of the cross-correlation function.

Published in:

Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '82.  (Volume:7 )

Date of Conference:

May 1982

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.