제어로봇시스템학회:학술대회논문집
- 1997.10a
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- Pages.1844-1847
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- 1997
Brain activity analysis by using chaotic characteristics
카오스 특성에 의한 뇌의 활동도 분석
Abstract
Assuming that EEG(electroencephalogram), which is generated by a nonlinear electrical of billions of neurons in the brain, has chaotic characteristics, it is confirmend by frequency spectrum analysis, log frequency spectrum analysis, correlation dimension analysis and Lyapunov exponents analysis. Some chaotic characteristics are related to the degree of brain activity. The slope of log frequency spectrum increases and the correlation dimension decreasess with respect to the activities, while the largest Lyapunov exponent has only a rough correlation.