Auto-correlation based feature extraction approach for EEG alcoholism identification
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Sadiq, Muhammad Tariq 
ORCID: https://orcid.org/0000-0002-7410-5951, Siuly, Siuly ORCID: https://orcid.org/0000-0003-2491-0546, Ur Rehman, Ateeq and Wang, Hua ORCID: https://orcid.org/0000-0002-8465-0996
(2021)
Auto-correlation based feature extraction approach for EEG alcoholism identification.
In: 10th International Conference on Health Information Science (HIS), 25-28 Oct 2021, Melbourne, Australia.
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| Item type | Conference or Workshop Item (Paper) |
| URI | https://vuir.vu.edu.au/id/eprint/45113 |
| DOI | 10.1007/978-3-030-90885-0_5 |
| Official URL | https://link.springer.com/chapter/10.1007/978-3-03... |
| ISBN | 9783030908843 |
| Subjects | Current > FOR (2020) Classification > 4605 Data management and data science Current > FOR (2020) Classification > 4611 Machine learning Current > Division/Research > Institute for Sustainable Industries and Liveable Cities |
| Keywords | alcoholism, alcoholism detection, brain function, brain health, EEG, artificial intelligence |
| Citations in Scopus | 6 - View on Scopus |
| Download/View statistics | View download statistics for this item |
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