Neurophysiologically Meaningful Motor Imagery EEG Simulation With Applications to Data Augmentation

Motor imagery-based Brain-Computer Interfaces (MI-BCIs) have gained a lot of attention due to their potential usability in neurorehabilitation and neuroprosthetics. However, the accurate recognition of MI patterns in electroencephalography signals (EEG) is hindered by several data-related limitation...

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Autors principals:	Catalina M. Galvan, Ruben D. Spies, Diego H. Milone, Victoria Peterson
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2024-01-01
Col·lecció:	IEEE Transactions on Neural Systems and Rehabilitation Engineering
Matèries:	Brain-computer interfaces surface EEG motor imagery deep learning data augmentation EEG simulation
Accés en línia:	https://ieeexplore.ieee.org/document/10565958/
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