| Title |
Brain Activity Analysis by using Chaotic Characteristics |
| Authors |
김택수(Kim, Taek-Soo) ; 김현술(Kim, Hyun-Sool) ; 최윤호(Choi, Yoon-Ho) ; 박상희(Park, Sang-Hui) |
| Keywords |
Chaos ; Correlation Dimension ; Lyapunov Exponents ; EEG ; Brain Activity |
| Abstract |
The purpose of this paper was the determination of the relationship between the chaotic charateristics and various levels of brain activities. Assuming that EEG(eletroencephalogram), which is generated by a nonlinear electiecal behavior of billions of neurons in the brain, has chaotic characteristics, it was confirmed by frequency spectrum analysis, log frequency spectrum analysis, correlation dimension analysis and Lyapunov exponents analysis. Chaotic characteristics are related to the degree of brain activity. The slope of log frequency spectrum increased and the correlation dimension decreased with respect to the brain activities, while the lagrest Lyapunov exponent has some rough correlation. |