Application of Chaotic Dynamics in EEG to Assessment of Mental Workload
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概要
- 論文の詳細を見る
In this paper, an attempt was made to evaluate mental workload using chaotic analysis of EEG. EEG signals registered from Fz and Cz during a mental task (mental addition) were recorded and analyzed using attractor plots, fractal dimensions, and Lyapunov exponents in order to clarify chaotic dynamics and to investigate whether mental workload can be assessed using these chaotic measures. The largest Lyapunov exponent for all experimental conditions took positive values, which indicated chaotic dynamics in the EBG signals. However, we could not evaluate mental workload using the largest Lyapunov exponent or attractor plot. The fractal dimension, on the otherh and, tended to increase with the work level. We concluded that the fractal dimension might be used to evaluate a mental state, especially a mental workload induced by mental task loading.
- 2001-08-01
著者
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MURATA ATSUO
Department of Surgery II, Osaka University Medical School
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Murata Atsuo
Department Of Communication And Computer Engineering Fukuoka Institute Of Technology
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Iwase H
Tokyo Seitoku Univ. Yachiyo‐shi Jpn
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IWASE Hirokazu
Department of Computer Sciences, Hiroshima City University
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