Comparison of Ensemble Machine Learning Methods for Automated Classification of Focal and Non-Focal Epileptic EEG Signals

Comparison of Ensemble Machine Learning Methods for Automated Classification of Focal and Non-Focal Epileptic EEG Signals

This research presents the epileptic focus region localization during epileptic seizures by applying different signal processing and ensemble machine learning techniques in intracranial recordings of electroencephalogram (EEG). Multi-scale Principal Component Analysis (MSPCA) is used for denoising E...

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Bibliographic Details
Main Authors: Samed Jukic, Muzafer Saracevic, Abdulhamit Subasi, Jasmin Kevric
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Mathematics
Subjects:
electroencephalogram (EEG)
source localization
multi-scale principal component analysis
autoregressive (AR) method
ensemble machine learning methods
Online Access:https://www.mdpi.com/2227-7390/8/9/1481

Internet

https://www.mdpi.com/2227-7390/8/9/1481

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