Multiple Inter-Channel EEG Relationships and Their Application


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Abstract

In this article we propose an algorithm for the analysis of multiple relationships between electroencephalogram (EEG) channels. This algorithm identifies groups of linked channels and estimates the strength of relationships within these groups. This is a novel approach that can detect informative cortical zones for particular psychoneurological diseases. It can also be used to create new systems for processing EEG data and diagnose diseases.

About the authors

R. I. Ivanovsky

Institute of Computer Science and Technology, Peter the Great St. Petersburg Polytechnic University

Email: novozhilov.mark@gmail.com
Russian Federation, St. Petersburg

M. A. Novozhilov

Institute of Computer Science and Technology, Peter the Great St. Petersburg Polytechnic University

Author for correspondence.
Email: novozhilov.mark@gmail.com
Russian Federation, St. Petersburg

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