EEG-BCI-based motor imagery classification using double attention convolutional network-Reference-Cited by-同舟云学术

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EEG-BCI-based motor imagery classification using double attention convolutional network

Published:2024-01-02 Issue: Volume: Page:1-20
ISSN:1025-5842
Container-title:Computer Methods in Biomechanics and Biomedical Engineering
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering

Author:

Sireesha V.¹,Tallapragada V. V. Satyanarayana²,Naresh M.³,Pradeep Kumar G. V.⁴

Affiliation:

1. Department of Computer Science and Engineering, School of Technology, GITAM University, Hyderabad, India

2. Department of ECE, Mohan Babu University, Tirupati, Andhra Pradesh, India

3. Department of ECE, Matrusri Engineering College, Saidabad, Hyderabad, India

4. Department of ECE, Chaitanya Bharathi Institute of Technology, Hyderabad, India

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10255842.2023.2298369

Reference38 articles.

1. The Arithmetic Optimization Algorithm

2. Signal processing techniques for motor imagery brain computer interface: A review

3. Weighted Transfer Learning for Improving Motor Imagery-Based Brain–Computer Interface

4. BrainWave-Scattering Net: a lightweight network for EEG-based motor imagery recognition

5. Improving Generalization of CNN-Based Motor-Imagery EEG Decoders via Dynamic Convolutions

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