Fast Fractional Fourier Transform-Aided Novel Graphical Approach for EEG Alcoholism Detection
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Sadiq, Muhammad Tariq ORCID: 0000-0002-7410-5951, Yousaf, Adnan, Siuly, Siuly ORCID: 0000-0003-2491-0546 and Almogren, Ahmad ORCID: 0000-0002-8253-9709 (2024) Fast Fractional Fourier Transform-Aided Novel Graphical Approach for EEG Alcoholism Detection. Bioengineering, 11 (5). ISSN 2306-5354
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Item type | Article |
URI | https://vuir.vu.edu.au/id/eprint/48777 |
DOI | 10.3390/bioengineering11050464 |
Official URL | https://www.mdpi.com/2306-5354/11/5/464 |
Subjects | Current > FOR (2020) Classification > 4003 Biomedical engineering Current > Division/Research > Institute for Sustainable Industries and Liveable Cities |
Keywords | electroencephalography; multiscale principal component analysis; alcoholism; ensembled feature selection; neural network classification |
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