A novel multi-scale fusion convolutional neural network for EEG-based motor imagery classification-Reference-Cited by-同舟云学术

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A novel multi-scale fusion convolutional neural network for EEG-based motor imagery classification

Published:2024-10 Issue: Volume:96 Page:106645
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Yang Guangyu,Liu Jinguo

Publisher

Elsevier BV

Reference34 articles.

1. Brain-computer interface technology: A review of the first international meeting;Wolpaw;IEEE Trans. Rehabil. Eng.,2000

2. A review of classification algorithms for EEG-based brain–computer interfaces;Lotte;J. Neural Eng.,2007

3. Principles of a brain-computer interface (BCI) based on real-time functional magnetic resonance imaging (fMRI);Weiskopf;IEEE Trans. Biomed. Eng.,2004

4. An MEG-based brain–computer interface (BCI);Mellinger;Neuroimage,2007

5. Mu rhythm (de) synchronization and EEG single-trial classification of different motor imagery tasks;Pfurtscheller;NeuroImage,2006

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