Hybrid Machine Learning Scheme for Classification of BECTS and TLE Patients Using EEG Brain Signals

Hybrid Machine Learning Scheme for Classification of BECTS and TLE Patients Using EEG Brain Signals

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 and demonstrated that EEG patterns of in...

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Bibliographic Details
Main Authors: Wonsik Yang, Minsoo Joo, Yujaung Kim, Se Hee Kim, Jong-Moon Chung
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Electroencephalogram (EEG)
brain signal
epilepsy
hybrid machine learning
empirical mode decomposition (EMD)
Online Access:https://ieeexplore.ieee.org/document/9262846/

Internet

https://ieeexplore.ieee.org/document/9262846/

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