Discrimination of task-related eeg signals using diffusion adaptation and S-transform coherency | IEEE Conference Publication | IEEE Xplore

Discrimination of task-related eeg signals using diffusion adaptation and S-transform coherency


Abstract:

This work presents a novel approach for discriminating complex mental and motor tasks using diffusion adaptation and brain connectivity measures. In particular, in this p...Show More

Abstract:

This work presents a novel approach for discriminating complex mental and motor tasks using diffusion adaptation and brain connectivity measures. In particular, in this paper, we use a S-transform based measure to estimate the connectivity on single-trial basis and diffusion Kalman filtering to train a model that can classify different tasks. The superiority of the method is proven when compared with solutions that don't rely on cooperation.
Date of Conference: 21-24 September 2014
Date Added to IEEE Xplore: 20 November 2014
Electronic ISBN:978-1-4799-3694-6

ISSN Information:

Conference Location: Reims, France

References

References is not available for this document.