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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Detalhes bibliográficos
Autor principal: Lopes, Fábio (author)
Outros Autores: Leal, Adriana (author), Medeiros, Julio (author), Pinto, Mauro (author), Dourado, António (author), Dumpelmann, Matthias (author), Teixeira, César (author)
Formato: article
Idioma:eng
Publicado em: 2021
Assuntos:
Artifact removal
automatic reconstruction
deep convolutional neural networks
electroencephalogram
preprocessing
Texto completo:http://hdl.handle.net/10316/101172
País:Portugal
Oai:oai:estudogeral.sib.uc.pt:10316/101172

Texto Completo

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

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