EEG Channel-Selection Method for Epileptic-Seizure Classification Based on Multi-Objective Optimization

EEG Channel-Selection Method for Epileptic-Seizure Classification Based on Multi-Objective Optimization

We present a multi-objective optimization method for electroencephalographic (EEG) channel selection based on the non-dominated sorting genetic algorithm (NSGA) for epileptic-seizure classification. We tested the method on EEG data of 24 patients from the CHB-MIT public dataset. The procedure starts...

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Bibliographic Details
Main Authors: Luis Alfredo Moctezuma, Marta Molinas
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-06-01
Series:Frontiers in Neuroscience
Subjects:
epilepsy
electroencephalogram (EEG)
empirical mode decomposition (EMD)
discrete wavelet transform (DWT)
channel selection
multi-objective optimization
Online Access:https://www.frontiersin.org/article/10.3389/fnins.2020.00593/full

Internet

https://www.frontiersin.org/article/10.3389/fnins.2020.00593/full

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