Challenges in Electroencephalography Data Processing Using Machine Learning Approaches
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Alvi, Ashik Mostafa 
ORCID: 0000-0001-7898-2030, Siuly, Siuly ORCID: 0000-0003-2491-0546 and Wang, Hua ORCID: 0000-0002-8465-0996
(2022)
Challenges in Electroencephalography Data Processing Using Machine Learning Approaches.
In:
Databases Theory and Applications: 33rd Australasian Database Conference, ADC 2022 Sydney, NSW, Australia, September 2–4, 2022 Proceedings.
Hua, W, Wang, H and Li, L, eds.
Lecture Notes in Computer Science, 13459
.
Springer, Cham, Switzerland, pp. 177-184.
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| Item type | Book Section |
| URI | https://vuir.vu.edu.au/id/eprint/46910 |
| DOI | 10.1007/978-3-031-15512-3_15 |
| Official URL | https://link.springer.com/chapter/10.1007/978-3-03... |
| ISBN | 9783031155116 |
| Subjects | Current > FOR (2020) Classification > 4611 Machine learning Current > Division/Research > Institute for Sustainable Industries and Liveable Cities |
| Keywords | neurological disorders; dementia; mild cognitive impairment; Alzheimer’s diseases; EGG; signal processing; classification; deep learning |
| Download/View statistics | View download statistics for this item |
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