Ensemble Deep Neural Network for Automatic Classification of EEG Independent Components

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, Adriana Leal, Julio Medeiros, Mauro F. Pinto, Antonio Dourado, Matthias Dumpelmann, Cesar Teixeira
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Electroencephalogram
independent component analysis
artifact removal
deep neural networks
transfer learning
Online Access:https://ieeexplore.ieee.org/document/9721851/

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