Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 1995.07b
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- Pages.962-964
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- 1995
A Study on the Development of Integrated Chaos Analysis System for EEG
뇌파신호의 카오스 특징 추출을 위한 통합 시스템의 개발
- Woo, Yong-Ho (Dept. of Electrical Eng. Yonsei Univ.) ;
- Kim, Hyun-Sool (Dept. of Electrical Eng. Yonsei Univ.) ;
- Kim, Taek-Soo (Dept. of Electrical Eng. Yonsei Univ.) ;
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Choi, Yoon-Ho
(Dept. of Electronics Eng. Kyonggi Univ.)
;
- Park, Sang-Hui (Dept. of Electrical Eng. Yonsei Univ.)
- Published : 1995.07.20
Abstract
In this paper, an integrated chaos analysis system for EEG (ICASE) is designed for the analysis of brain functions based on the chaos theory. Nonlinear dynamic characteristics of EEG such as 3-D attractor, Poincare section, correlation dimension, Lyapunov exponents and power spectrum are extracted by this system. The results show that chaotic attractors which indicate the presence of deterministic, dynamics of complex nature could be identified from a routine EEG recording for normal and pathological activity. This proves that the chaotic analysis of EEG may be an appropriate tool in the classification of brain activity and thus a possible diagnostic tool.
Keywords