FBMSNet: A Filter-Bank Multi-Scale Convolutional Neural Network for EEG-Based Motor Imagery Decoding
Published 2022 View Full Article
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Title
FBMSNet: A Filter-Bank Multi-Scale Convolutional Neural Network for EEG-Based Motor Imagery Decoding
Authors
Keywords
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Journal
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
Volume 70, Issue 2, Pages 436-445
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Online
2022-07-23
DOI
10.1109/tbme.2022.3193277
References
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Related references
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- (2019) Min-Ho Lee et al. GigaScience
- Noninvasive neuroimaging enhances continuous neural tracking for robotic device control
- (2019) B. J. Edelman et al. Science Robotics
- HS-CNN: A CNN with hybrid convolution scale for EEG motor imagery classification
- (2019) Guanghai Dai et al. Journal of Neural Engineering
- A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification
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- EEG Based Brain Computer Interface for Controlling a Robot Arm Movement Through Thought
- (2018) R. Bousseta et al. IRBM
- EEGNet: a compact convolutional neural network for EEG-based brain--computer interfaces
- (2018) Vernon Lawhern et al. Journal of Neural Engineering
- Fast Recognition of BCI-Inefficient Users Using Physiological Features from EEG Signals: A Screening Study of Stroke Patients
- (2018) Xiaokang Shu et al. Frontiers in Neuroscience
- Towards BCI-actuated smart wheelchair system
- (2018) Jingsheng Tang et al. Biomedical Engineering Online
- Deep learning with convolutional neural networks for EEG decoding and visualization
- (2017) Robin Tibor Schirrmeister et al. HUMAN BRAIN MAPPING
- Brain-computer interface boosts motor imagery practice during stroke recovery
- (2015) Floriana Pichiorri et al. ANNALS OF NEUROLOGY
- Brain–Computer Interface for Neurorehabilitation of Upper Limb After Stroke
- (2015) Kai Keng Ang et al. PROCEEDINGS OF THE IEEE
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