Epilepsy Is A Common Chronic Neurological Disorder That Is Characterized By Recurrent Unprovoked Seizures. According To A Report By The World Health Organization (WHO), Approximately 50 Million People Worldwide Have Epilepsy, Making It One Of The Most Common Neurological Diseases Globally. Electroencephalogram (EEG) Signal Is Commonly Used By Clinicians In Diagnosis Of Neurological Disorders Including Epileptic Seizures. In This Method, DD-DWT Is Creatively Introduced For EEG Processing Instead Of The Traditional DWT. Additionally, The Mixed Features Of HE And Fuzzy-En Are Exploited To Characterize The Self-similarity And Complexity Of EEG. The Significant Features Selected By ANOVA Are Fed To Classifiers For Final Decision. It Is Apparently Noticed That The GA-SVM Configured With Less Features Is Found To Achieve The Prominent Classification Performance For Various Combinations.
