Hybrid EEG-fNIRS decoding with dynamic graph convolutional-capsule networks for motor imagery/execution

Hongtao Wang; Zhiwen Yuan; Haiyan Zhang; Feng Wan; Yu Li; Tao Xu

doi:10.1016/j.bspc.2025.107570

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Hybrid EEG-fNIRS decoding with dynamic graph convolutional-capsule networks for motor imagery/execution

Hongtao Wang Zhiwen Yuan Haiyan Zhang Feng Wan Yu Li Tao Xu

Year: 2025 Journal: Biomedical Signal Processing and Control Vol: 104 Pages: 107570-107570 Publisher: Elsevier BV

DOI: 10.1016/j.bspc.2025.107570

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Keywords:

Computer science Motor imagery Decoding methods Electroencephalography Graph Convolutional neural network Artificial intelligence Computer vision Speech recognition Brain–computer interface Neuroscience Psychology Algorithm Theoretical computer science

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EEG and Brain-Computer Interfaces

Life Sciences → Neuroscience → Cognitive Neuroscience

Gaze Tracking and Assistive Technology

Physical Sciences → Computer Science → Human-Computer Interaction

ECG Monitoring and Analysis

Health Sciences → Medicine → Cardiology and Cardiovascular Medicine

Hybrid EEG-fNIRS decoding with dynamic graph convolutional-capsule networks for motor imagery/execution

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