Exploring Frequency Band-Based Biomarkers of EEG Signals for Mild Cognitive Impairment Detection
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Tawhid, Md. Nurul Ahad 
ORCID: https://orcid.org/0000-0002-6100-4895, Siuly, Siuly ORCID: https://orcid.org/0000-0003-2491-0546, Kabir, Enamul ORCID: https://orcid.org/0000-0002-6157-2753 and Li, Yan ORCID: https://orcid.org/0000-0002-4694-4926
(2024)
Exploring Frequency Band-Based Biomarkers of EEG Signals for Mild Cognitive Impairment Detection.
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 32.
pp. 189-199.
ISSN 1534-4320
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| Item type | Article |
| URI | https://vuir.vu.edu.au/id/eprint/50052 |
| DOI | 10.1109/TNSRE.2023.3347032 |
| Official URL | https://doi.org/10.1109/tnsre.2023.3347032 |
| Subjects | Current > FOR (2020) Classification > 4003 Biomedical engineering Current > FOR (2020) Classification > 4611 Machine learning Current > Division/Research > Institute for Sustainable Industries and Liveable Cities |
| Keywords | CNN; deep learning; electroencephalogram (EEG); frequency sub-band; mild cognitive impairment (MCI); spectrogram |
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