By analyzing electroencephalograms taken from healthy subjects and epilepsy patients, we investigated whether the complexity of the electroencephalogram (EEG) could be characterized by a multifrac-tal. Our results showed that the EEGs from the two sets exhibit higher complexity than monofractal 1/f scaling. A significant finding was the observation that the dynamics of the epileptic EEGs exhibited anticorre-lated, correlated, and uncorrelated behaviors. In conclusion, multifractal formalism based on the wavelet transform modulus maxima (WTMM) may be a good tool to characterize the various dynamics of the two sets.
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