Neurological abnormality detection from electroencephalography data: a review
Download
Alvi2022_Article_NeurologicalAbnormalityDetecti.pdf
- Published Version
(1MB)
Restricted to Repository staff only
Export
Alvi, Ashik Mostafa, Siuly, Siuly ORCID: 0000-0003-2491-0546 and Wang, Hua
ORCID: 0000-0002-8465-0996
(2021)
Neurological abnormality detection from electroencephalography data: a review.
Artificial Intelligence Review, 55 (3).
pp. 2275-2312.
ISSN 0269-2821 (print) 1573-7462 (online)
Dimensions Badge
Altmetric Badge
Item type | Article |
URI | https://vuir.vu.edu.au/id/eprint/43216 |
DOI | https://doi.org/10.1007/s10462-021-10062-8 |
Official URL | https://link.springer.com/article/10.1007/s10462-0... |
Subjects | Current > FOR (2020) Classification > 3209 Neurosciences Current > FOR (2020) Classification > 4008 Electrical engineering Current > Division/Research > Institute for Sustainable Industries and Liveable Cities |
Keywords | Dementia; Alzheimer diseases; Mild cognitive impairment; Schizophrenia; Parkinson diseases; Electroencephalography |
Citations in Scopus | 6 - View on Scopus |
Download/View statistics | View download statistics for this item |
CORE (COnnecting REpositories)