A novel model based on a 1D-ResCNN and transfer learning for processing EEG attenuation
Author:
Affiliation:
1. The School of Electrical Engineering, Shanghai Dianji University, Shanghai, China
2. Intelligent Decision and Control Technology Institute, Shanghai Dianji University, Shanghai, China
Publisher
Informa UK Limited
Subject
Computer Science Applications,Human-Computer Interaction,Biomedical Engineering,General Medicine,Bioengineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/10255842.2022.2162339
Reference38 articles.
1. Efficient EEG Mobile Edge Computing and Optimal Resource Allocation for Smart Health Applications
2. Deep learning for motor imagery EEG-based classification: A review
3. EEG Signals Denoising Using Optimal Wavelet Transform Hybridized With Efficient Metaheuristic Methods
4. CNN-based transfer learning–BiLSTM network: A novel approach for COVID-19 infection detection
5. Dipole modelling of eye activity and its application to the removal of eye artefacts from the EEG and MEG
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