Exploring Rhythms and Channels-Based EEG Biomarkers for Early Detection of Alzheimer's Disease
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Siuly, Siuly 
ORCID: 0000-0003-2491-0546, Alcin, Omer Faruk ORCID: 0000-0002-2917-3736, Wang, Hua ORCID: 0000-0002-8465-0996, Li, Yan ORCID: 0000-0002-4694-4926 and Wen, Peng ORCID: 0000-0003-0939-9145
(2024)
Exploring Rhythms and Channels-Based EEG Biomarkers for Early Detection of Alzheimer's Disease.
IEEE Transactions on Emerging Topics in Computational Intelligence, 8 (2).
pp. 1609-1623.
ISSN 2471-285X
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| Item type | Article |
| URI | https://vuir.vu.edu.au/id/eprint/48317 |
| DOI | 10.1109/TETCI.2024.3353610 |
| Official URL | https://ieeexplore.ieee.org/document/10414994 |
| Subjects | Current > FOR (2020) Classification > 3209 Neurosciences Current > FOR (2020) Classification > 4611 Machine learning Current > Division/Research > Institute for Sustainable Industries and Liveable Cities |
| Keywords | computer aided diagnostic; electroencephalography; long short-term memory; deep learning; mild cognitive impairment; neurodegenerative brain disorder |
| Download/View statistics | View download statistics for this item |
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