In　this　work,　we　evaluated　the　differences　between　epileptic　electroencephalogram　(EEG)　and　interictal　EEG　by　computing　some　non-linear　features.　Correlation　dimension　(CD)　and　Hurst　exponent　(H)　were　calculated　for　100　segments　of　epileptic　EEG　and　100　segments　of　interictal　EEG.　A　comparison　was　made　between　epileptic　EEG　and　interictal　EEG　in　those　non-linear　parameters.　Results　show　that　the　mean　values　of　CD　are　2.64　for　epileptic　EEG　and　4.55　for　interictal　EEG.　We　also　calculated　approximate　entropy　(ApEn)　of　those　EEG　signals.　The　mean　values　of　ApEn　are　0.90　for　epileptic　EEG　and　4.55　for　interictal　EEG.　The　values　of　CD　and　ApEn　of　epileptic　EEG　are　generally　lower　than　those　of　interictal　EEG,　indicating　less　complexity　of　EEG　signals　during　seizures.　The　mean　values　of　Hurst　exponent　are　0.19　for　epileptic　EEG　and　0.29　for　interictal　EEG.　Hurst　exponents　for　epileptic　EEG　and　interictal　EEG　are　both　＜0.5.　This　indicates　that　both　epileptic　and　interictal　EEGs　show　long-range　anticorrelation.　The　value　of　Hurst　exponent　of　epileptic　EEG　signals　is　lower　than　that　of　interictal　EEG　signals,　showing　that　the　degree　of　anticorrelation　of　epileptic　EEG　signals　is　larger　than　that　of　interictal　EEG.　Hence,　the　non-linear　parameters　such　as　CD　and　Hurst　exponent　can　help　interpret　epileptic　and　interictal　EEGs　and　their　neurodynamics.