Hybrid Machine Learning Scheme for Classification of BECTS and TLE Patients Using EEG Brain Signals
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DOI: 10.1109/access.2020.3038948
Abstract: Approximately 50 million people have epilepsy worldwide. Prognosis may vary among patients depending on their seizure semiology, age of onset, seizure onset location, and features of electroencephalogram (EEG). Several researchers have focused on EEG patterns… read more here.
Keywords: machine; classification; model; hybrid machine ... See more keywords