Automatic Electroencephalogram Artifact Removal Using Deep Convolutional Neural Networks

Scalp electroencephalogram (EEG) is a non-invasive measure of brain activity. It is widely used in several applications including cognitive tasks, sleep stage detection, and seizure prediction. When recorded over several hours, this signal is usually corrupted by noisy disturbances such as experimen...

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Bibliographic Details
Main Author: Lopes, Fábio (author)
Other Authors: Leal, Adriana (author), Medeiros, Julio (author), Pinto, Mauro (author), Dourado, António (author), Dumpelmann, Matthias (author), Teixeira, César (author)
Format: article
Language:eng
Published: 2021
Subjects:
Artifact removal
automatic reconstruction
deep convolutional neural networks
electroencephalogram
preprocessing
Online Access:http://hdl.handle.net/10316/101172
Country:Portugal
Oai:oai:estudogeral.sib.uc.pt:10316/101172

Internet

http://hdl.handle.net/10316/101172

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