Electroencephalogram spike detection and classification by diagnosis with convolutional neural network

Electroencephalogram spike detection and classification by diagnosis with convolutional neural network

This work presents convolutional neural network (CNN) based methodology for electroencephalogram (EEG) classification by diagnosis: benign childhood epilepsy with centrotemporal spikes (rolandic epilepsy) (Group I) and structural focal epilepsy (Group II). Manual classification of these groups is s...

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Bibliographic Details
Main Authors: Andrius Vytautas Misiukas Misiūnas, Valdas Rapševičius, Rūta Samaitienė, Tadas Meškauskas
Format: Article
Language:English
Published: Vilnius University Press 2020-07-01
Series:Nonlinear Analysis
Subjects:
electroencephalogram
convolutional neural network
machine learning
classification
epilepsy
Online Access:https://www.journals.vu.lt/nonlinear-analysis/article/view/18016

Internet

https://www.journals.vu.lt/nonlinear-analysis/article/view/18016

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