Automatic Electroencephalogram Artifact Removal Using Deep Convolutional Neural Networks

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 Authors: Fabio Lopes, Adriana Leal, Julio Medeiros, Mauro F. Pinto, Antonio Dourado, Matthias Dumpelmann, Cesar Teixeira
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Artifact removal
automatic reconstruction
deep convolutional neural networks
electroencephalogram
preprocessing
Online Access:https://ieeexplore.ieee.org/document/9605576/

Internet

https://ieeexplore.ieee.org/document/9605576/

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