Multifractal characteristics of 16-channel hu-man electroencephalogram (EEG) signals under eye-closed rest are analyzed for the first time. The result shows that the EEGs from the different sites on the scalp have dif...Multifractal characteristics of 16-channel hu-man electroencephalogram (EEG) signals under eye-closed rest are analyzed for the first time. The result shows that the EEGs from the different sites on the scalp have different multifractal characteristics and the multifractal strength value a exhibits a kind of interleaving and left-right oppo-site distribution on scalp. This distribution rule is consistent with the localization of function and the lateralization theory in physiology. So Da can become an effective parameter to describe the brain potential character. And such a a stable distribution rule on sites of the scalp means a classic cerebral cortex active state.展开更多
基金partly supported by the National Natural Science Foundation of China(Grant No.59905011)partly by the Science Foundation of Jiangsu Province(Grant No.2001XCYTSJB111)
文摘Multifractal characteristics of 16-channel hu-man electroencephalogram (EEG) signals under eye-closed rest are analyzed for the first time. The result shows that the EEGs from the different sites on the scalp have different multifractal characteristics and the multifractal strength value a exhibits a kind of interleaving and left-right oppo-site distribution on scalp. This distribution rule is consistent with the localization of function and the lateralization theory in physiology. So Da can become an effective parameter to describe the brain potential character. And such a a stable distribution rule on sites of the scalp means a classic cerebral cortex active state.
