A Novel Multimodule Neural Network for EEG Denoising

A Novel Multimodule Neural Network for EEG Denoising

In this paper, a novel multi-module neural network (MMNN) is proposed to remove ocular artifacts (OAs) and myogenic artifacts (MAs) from noisy single-channel electroencephalogram (EEG) signals. This network is a based on deep learning (DL) architecture consisting of multiple denoising modules connec...

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Bibliografische gegevens
Hoofdauteurs: Zhen Zhang, Xiaoyan Yu, Xianwei Rong, Makoto Iwata
Formaat: Artikel
Taal:English
Gepubliceerd in: IEEE 2022-01-01
Reeks:IEEE Access
Onderwerpen:
EEG denoising
multi-module neural network (MMNN)
deep learning (DL)
Online toegang:https://ieeexplore.ieee.org/document/9770811/

Internet

https://ieeexplore.ieee.org/document/9770811/

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