Motor imagery recognition with automatic EEG channel selection and deep learning-Reference-Cited by-同舟云学术

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Motor imagery recognition with automatic EEG channel selection and deep learning

Published:2020-11-12 Issue: Volume: Page:
ISSN:1741-2560
Container-title:Journal of Neural Engineering
language:
Short-container-title:J. Neural Eng.

Author:

Zhang Han^ORCID,Zhao Xing^ORCID,Wu Zexu^ORCID,Sun Biao^ORCID,Li Ting^ORCID

Funder

Tianjin Special Branch Plan High Level Innovation Team Grant and Tianjin Key Projects of Natural Science foundation

National Natural Science Foundation of China

CAMS Innovation Fund for Medical Sciences

Beijing Major Science & Technology project

Publisher

IOP Publishing

Subject

Cellular and Molecular Neuroscience,Biomedical Engineering

Link

https://iopscience.iop.org/article/10.1088/1741-2552/abca16/pdf

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3. A zero precision loss framework for EEG channel selection: enhancing efficiency and maintaining interpretability;Computer Methods in Biomechanics and Biomedical Engineering;2024-09-13

4. Band power feature part-based convolutional neural network with African vulture optimization fostered channel selection for EEG classification;Computer Methods in Biomechanics and Biomedical Engineering;2024-06-22

5. An EEG channel selection method for motor imagery based on Fisher score and local optimization;Journal of Neural Engineering;2024-06-01

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