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...

Olles dieđut

Bibliográfalaš dieđut

Váldodahkkit:	Catalina M. Galvan, Ruben D. Spies, Diego H. Milone, Victoria Peterson
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	IEEE 2024-01-01
Ráidu:	IEEE Transactions on Neural Systems and Rehabilitation Engineering
Fáttát:	Brain-computer interfaces surface EEG motor imagery deep learning data augmentation EEG simulation
Liŋkkat:	https://ieeexplore.ieee.org/document/10565958/
Fáddágilkorat:	Lasit fáddágilkoriid Eai fáddágilkorat, Lasit vuosttaš fáddágilkora!