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, MZ, Almogren, A 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
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