Multi-class Motor Imagery Classification Method Using One-dimensional Convolutional Neural Networks-Reference-Cited by-同舟云学术

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Multi-class Motor Imagery Classification Method Using One-dimensional Convolutional Neural Networks

Published:2022-07 Issue: Volume: Page:
ISSN:
Container-title:2022 4th International Conference on Applied Machine Learning (ICAML)
language:
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Author:

Li Dezhao¹,Ma Yanni²,Hu Shang³,Su Yan⁴,Ruan Yangtao¹,Lin Qiang¹

Affiliation:

1. College of Science, Zhejiang University of Technology,Hangzhou,China,310023

2. College of Computer Science and Technology, Zhejiang University of Technology,Hangzhou,China

3. College of Education Science and Technology, Zhejiang University of Technology,Hangzhou,China

4. School of Art, Zhejiang International Studies University,Hangzhou,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10056426/10056429/10056537.pdf?arnumber=10056537

Reference21 articles.

1. Review of the BCI Competition IV

2. A novel algorithm of multi-sensor image fusion based on wavelet packet transform

3. A 1D CNN for high accuracy classification and transfer learning in motor imagery EEG-based brain-computer interface

4. Convolutional Neural Networks in Image Understanding;chang;ACTA Automatica Sinica,2016

5. A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification

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