Parvez, Mohammad ZavidAbrar, Mohammed AbidMostafa, MahajabinSamin, Mohtasim AbrarHassan, Nabila BinteyNibras, Saiara ZerinRahman, Samir2021-12-022021-12-0220212021-09ID 18101458ID 18101094ID 18101237ID 18101251ID 18101130http://hdl.handle.net/10361/15687Cataloged from PDF version of thesis.Includes bibliographical references (pages 30-35).This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.Epileptic seizure is a neurological disorder that is prevalent in both males and females of all age ranges. Detection of epileptic seizure serves as an important role for epileptic patients as it allows the initiation of systems to prevent injuries and limiting the possibilities of risk by providing targeted therapy by anticipating their onset prior to presentation. Electroencephalogram (EEG) plays an important role in seizure detection and is one of the most well-known techniques for determining stages of epilepsy. Since, EEG is a non-stationary signal it can be quite difficult to di↵erentiate amongst seizure activity and normal neural activity. In this paper we have proposed an epilepsy detection method based on five di↵erent feature extraction methods and followed by that the original domain of the extracted features were transformed using DiscreteWavelet Transform (DWT) and three di↵erent classifiers- Decision Tree, Random Forest and KNN to classify into seizure and nonseizure stages. Results demonstrated in this paper have outperformed the existing state-of-the-art methods with 97.22%, 100% and 83.33% for 2 class classification and 91.67%, 91.67% and 80.56% for 4 class classification for the aforementioned classification techniques accordingly.35 pagesenBrac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.DWTTransformed domainEEGFeature extractionClassificationElectroencephalography.Wavelets (Mathematics)Signal processing--Digital techniques--MathematicsThesis