Neonatal Seizure Detection based on EEG signal by Ensemble Method
Abstract
Objective in the newborn critical care unit, seizures are one of the most frequent medical emergencies.
They are identified by visually electroencephalography (EEG) results assessment, and neuroscientific
professionals are responsible for their care. This method takes a long time, and the results are
inconsistent. In order to solve this issue, a system for identifying epileptic seizures from EEG data
collected from healthy individuals and epileptic patients is presented in this research. This system is
based on a study of EEG data utilizing the discrete wavelet transform (DWT) and both linear and
nonlinear classifiers.
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