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Classification of Epileptic EEG Signals Using DWT-Based Feature Extraction and Machine Learning Methods
2021
International Journal of Applied Mathematics Electronics and Computers
Epileptic attacks can be caused by irregularities in the electrical activities of the brain. Electroencephalography (EEG) data demonstrating electrical activity in the brain play an important role in the diagnosis and classification of epileptic attacks and epilepsy disease. This study describes a method for detecting epileptic attacks using various machine learning methods and EEG features obtained with the Discrete Wavelet Transform (ADD). In the study, an EEG dataset consisting of five
doi:10.18100/ijamec.988691
fatcat:a7ottja7q5dqrcrtjyaedsmzb4