Machine-learning-based diagnostics of EEG pathology

Machine-learning-based diagnostics of EEG pathology

Machine learning (ML) methods have the potential to automate clinical EEG analysis. They can be categorized into feature-based (with handcrafted features), and end-to-end approaches (with learned features). Previous studies on EEG pathology decoding have typically analyzed a limited number of featur...

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Bibliographic Details
Main Authors: Lukas A.W. Gemein, Robin T. Schirrmeister, Patryk Chrabąszcz, Daniel Wilson, Joschka Boedecker, Andreas Schulze-Bonhage, Frank Hutter, Tonio Ball
Format: Article
Language:English
Published: Elsevier 2020-10-01
Series:NeuroImage
Subjects:
Machine learning
Deep learning
Electroencephalography
EEG
Diagnostics
Pathology
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811920305073

Internet

http://www.sciencedirect.com/science/article/pii/S1053811920305073

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