Development of Computerized Tools for Nonlinear Analysis of EEG

Yoon-Jeong Choi, Woon-Sub Han*, Kyong-Gyu Choi

Copyright ⓒ 2003. Ewha Womans University School of Medicine. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Published Online: Jun 30, 2003

Abstract

Objectives

EEG is a record of electronic signals of brain. If there are effective methods for analysis of EEG signal it can be used as a diagnostic tool for diseases related to brain function. We developed a new diagnostic system for analysis of EEG by using nonlinear dynamic theory.

Methods

We made a basic computer program which was designed to analysis of pattern of EEG. For analysis of pattern, EEG signal was processed by variable experimental analytical methods and grouped by common pattern.

Results

Program was composed of multiple systems. Signal generating system was composed of Lorenz signal generation and Rossler signal generation parts. EEG processing system was composed of Normalization, Band pass filtering, First Second difference, Add random noise and Sur-rogate making parts. EEG analyses system was composed of Spectral analyses, Phase space analyses, Correlation analyses and Mode analyses parts. Pattern recognition and grouping system was com-posed of data format, Power spectrum, Neural network process and Classification parts.

Conclusion

We developed a basic computer program for systemic analysis of EEG by Nonlinear analysis methods.

Keywords: EEG; Non linear analysis; Correlation dimension