Deep Learning Approach for Epileptic Focus Localization

The task of epileptic focus localization receives great attention due to its role in an effective epileptic surgery. The clinicians highly depend on the intracranial EEG data to make a surgical decision related to epileptic subjects suffering from uncontrollable seizures. This surgery usually aims t...

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Veröffentlicht in:	IEEE transactions on biomedical circuits and systems Jg. 14; H. 2; S. 209 - 220
Hauptverfasser:	Daoud, Hisham, Bayoumi, Magdy
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.04.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Brain modeling Classification Clustering Coders Convolution convolutional autoen-coder Decision making Deep Learning EEG Electroencephalography Electroencephalography - methods Epilepsy Epilepsy - diagnosis epileptic focus localization Feature extraction Humans Localization Machine learning Multilayers Seizures Seizures - diagnosis Signal Processing, Computer-Assisted Surgery Temporal variations Training Unsupervised Machine Learning variational autoencoder
ISSN:	1932-4545, 1940-9990, 1940-9990
Online-Zugang:	Volltext
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