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This paper presents an accurate nonlinear classification method that can help physicians diagnose seizure in electroencephalographic (EEG) signal characterized by a disturbance in temporal and spectral content. This is accomplished by applying four steps. First, different EEG signals containing healthy, ictal and seizure-free (inter-ictal) activities are decomposed by empirical mode decomposition method. The instantaneous amplitudes and frequencies of resulted bands (intrinsic mode functions,doi:10.1007/s40846-017-0239-z pmid:29541014 pmcid:PMC5840222 fatcat:yj6zwk45xjdu5ae7vj3e7jlmp4