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Ensemble Deep Neural Network for Automatic Classification of EEG Independent Components

Objective: Independent component analysis (ICA) is commonly used to remove noisy artifacts from multi-channel scalp electroencephalogram (EEG) signals. ICA decomposes EEG into different independent components (ICs) and then, experts remove the noisy ones. This process is highly time-consuming and ex...

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Bibliographic Details
Main Authors:	Fabio Lopes (Author), Adriana Leal (Author), Julio Medeiros (Author), Mauro F. Pinto (Author), Antonio Dourado (Author), Matthias Dumpelmann (Author), Cesar Teixeira (Author)
Format:	Book
Published:	IEEE, 2022-01-01T00:00:00Z.
Subjects:	article
Online Access:	Connect to this object online.
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