EEG-VTTCNet: A loss joint training model based on the vision transformer and the temporal convolution network for EEG-based motor imagery classification

Author:

Shi Xingbin,Li Baojiang,Wang Wenlong,Qin Yuxin,Wang Haiyan,Wang Xichao

Publisher

Elsevier BV

Reference42 articles.

1. Multiscale Convolutional Transformer for EEG Classification of Mental Imagery in Different Modalities;Ahn;IEEE Trans. Neural Syst. Rehabil. Eng.,2022

2. Multi-task EEG Signal Classification using Correlation-based IMF Selection and Multi-class CSP;Alizadeh;IEEE Access,2023

3. Physics-informed attention temporal convolutional network for EEG-based motor imagery classification;Altaheri;IEEE Trans. Ind. Inf.,2022

4. Attention-inception and long-short-term memory-based electroencephalography classification for motor imagery tasks in rehabilitation;Amin;IEEE Trans. Ind. Inf.,2021

5. Multi-classification for EEG motor imagery signals using data evaluation-based auto-selected regularized FBCSP and convolutional neural network;An;Neural Comput. & Applic.,2023

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