Exploiting pretrained CNN models for the development of an EEG-based robust BCI framework
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Sadiq, Muhammad Tariq 
ORCID: 0000-0002-7410-5951, Aziz, Muhammad Zulkifal, Almogren, Ahmad ORCID: 0000-0002-8253-9709, Yousaf, Adnan, Siuly, Siuly ORCID: 0000-0003-2491-0546 and Rehman, Ateeq Ur ORCID: 0000-0001-5203-0621
(2022)
Exploiting pretrained CNN models for the development of an EEG-based robust BCI framework.
Computers in Biology and Medicine, 143.
ISSN 0010-4825
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| Item type | Article |
| URI | https://vuir.vu.edu.au/id/eprint/45453 |
| DOI | 10.1016/j.compbiomed.2022.105242 |
| Official URL | https://www.sciencedirect.com/science/article/pii/... |
| Subjects | Current > FOR (2020) Classification > 4006 Communications engineering Current > FOR (2020) Classification > 4602 Artificial intelligence Current > Division/Research > Institute for Sustainable Industries and Liveable Cities |
| Keywords | motor imagery; mental imagery; electroencephalography; classification; brain-computer interface; convolutional neural network; learning rates; transfer learning; optimizers |
| Citations in Scopus | 17 - View on Scopus |
| Download/View statistics | View download statistics for this item |
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