The classification of wink-based eeg signals: An evaluation of different transfer learning models for feature extraction

Electroencephalogram (EEG) is non-trivial in the diagnosis and treatment of neurogenerative diseases. Brain-Computer Interface (BCI) that utilises EEG is often used to improve the activities of daily living of patients with the aforesaid disorder. In this study, the efficacy of different Transfer Le...

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Main Authors:	Jothi Letchumy, Mahendra Kumar, Mamunur, Rashid, Rabiu Muazu, Musa, Mohd Azraai, Mohd Razman, Norizam, Sulaiman, Rozita, Jailani, Anwar, P. P. Abdul Majeed
Format:	Conference or Workshop Item
Language:	en
Published:	Springer 2021
Subjects:	TK Electrical engineering. Electronics Nuclear engineering TP Chemical technology
Online Access:	https://umpir.ump.edu.my/id/eprint/33350/1/The%20classification%20of%20wink-based%20eeg%20signals.pdf https://umpir.ump.edu.my/id/eprint/33350/ https://doi.org/10.1007/978-981-33-4597-3_6
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