| 정상인의 다양한 정신상태에 따른 뇌파의 비선형적 분석 |
| 채승희, 오지영 ·주은연 ·박은미 ·최경규 ·김응수* |
| 이화여자대학교 의과대학 목동병원 신경과학교실,이화 의과학센터,대전대학교 전자공학부* |
| Nonlinear Analysis of EEG in Various Mental States of Normal Person |
| Seung-Hee Chae, M.D., Jee-Young Oh, M.D., Eun-Youn Joo, M.D., Eun-Mi Park, M.D., Kyoung-Gyu Choi, M.D., Eung-Soo Kim, Ph.D.* |
| Department of Neurology, Ewha Medical Research Center, College of Medicine, Ewha Womans University Division of Elec. Info. & Comm. Engineering, Daejon University |
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| Abstract |
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Background : In order to compare the differences between various mental activities and to determine the significance of chaotic patterns, we performed a fractal dimension and Lyapunov exponent analysis of digital EEG data which are known to be non linear biological signals. Methods : During the EEG recordings, different kinds of tasks were per-formed, including eye closing, eye opening, calculation, listening to music, and remembering a picture. Performance signals were recorded for each test as a digital EEG for more than one minute. We used our own software, CHASIM, to calculate the fractal dimension and Lyapunov exponent. The statistical analysis performed was an ANOVA using SAS 6.12 for Windows (9.0). Results : The fractal dimensions during the “listening to music and noise”, and “moving both toes” tasks were increased. During the “eye opening”, “calculation”, and “moving both fingers” tasks, the fractal dimen-sions were decreased. Conclusions : Auditory stimulation generated a higher correlation dimension than visual stimula-tion. The interpretation of these results is still not totally clear, but we hope to find future applications for non-linear chaotic analysis for the functional evaluation of the central nervous system.
J Korean Neurol Assoc 18(5):581~588, 2000
Key Words : EEG, Nonlinear, Fractal dimension, Lyapunov exponent, Mental activities, Chaos |
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