Portable deep-learning decoder for motor imaginary EEG signals based on a novel compact convolutional neural network incorporating spatial-attention mechanism-Reference-Cited by-同舟云学术

Portable deep-learning decoder for motor imaginary EEG signals based on a novel compact convolutional neural network incorporating spatial-attention mechanism

Published:2023-04-25 Issue:9 Volume:61 Page:2391-2404
ISSN:0140-0118
Container-title:Medical & Biological Engineering & Computing
language:en
Short-container-title:Med Biol Eng Comput

Author:

Wu Zhanxiong^ORCID,Tang Xudong,Wu Jinhui,Huang Jiye,Shen Jian,Hong Hui

Funder

Natural Science Foundation of Zhejiang Province

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Biomedical Engineering

Link

https://link.springer.com/content/pdf/10.1007/s11517-023-02840-z.pdf

Reference69 articles.

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5. Tautan AM, Rossi AC, de Francisco R, Ionescu B (2021) Dimensionality reduction for EEG-based sleep stage detection: comparison of autoencoders, principal component analysis and factor analysis. Biomed Eng-Biomed Tech 66(2):125–136. https://doi.org/10.1515/bmt-2020-0139