The classification of EEG-based wink signals: A CWT-Transfer Learning pipeline

Brain–Computer Interface technology plays a vital role in facilitating post-stroke patients’ ability to carry out their daily activities of living. The extraction of features and the classification of electroencephalogram (EEG) signals are pertinent parts in enabling such a system. This research inv...

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Autores principales: Jothi Letchumy Mahendra Kumar, Mamunur Rashid, Rabiu Muazu Musa, Mohd Azraai Mohd Razman, Norizam Sulaiman, Rozita Jailani, Anwar P.P. Abdul Majeed
Formato: article
Lenguaje:EN
Publicado: Elsevier 2021
Materias:
BCI
CWT
EEG
SVM
Acceso en línea:https://doaj.org/article/215e4a22e4a44d9bb222b0e5ef531f48
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