MRMHNet: a new convolutional neural network approach for decoding electroencephalogram motor imagery signals-Reference-Cited by-同舟云学术

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MRMHNet: a new convolutional neural network approach for decoding electroencephalogram motor imagery signals

Published:2023-08-28 Issue: Volume: Page:
ISSN:
Container-title:Second International Conference on Biomedical and Intelligent Systems (IC-BIS 2023)
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Author:

Liu Menghao,Wu Dongjiong,Tang Xuehua,Zhou zhiyong,Zhao Pengfei,Li Xiangmin,Zhang Xu

Publisher

SPIE

Reference12 articles.

1. A Review of Online Classification Performance in Motor Imagery-Based Brain–Computer Interfaces for Stroke Neurorehabilitation

2. Deep Learning Techniques for Classification of Electroencephalogram (EEG) Motor Imagery (MI) Signals: A Review;Altaheri,2021

3. EEG-Based BCIs on Motor Imagery Paradigm Using Wearable Technologies: A Systematic Review

4. Architectural Review of Co-Adaptive Brain Computer Interface

5. Semiasynchronous BCI Using Wearable Two-Channel EEG

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