Textural feature based intelligent approach for neurological abnormality detection from brain signal data
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Tawhid, Nurul Ahad 
ORCID: 0000-0002-6100-4895, Siuly, Siuly ORCID: 0000-0003-2491-0546, Wang, Kate ORCID: 0000-0001-5208-1090 and Wang, Hua ORCID: 0000-0002-8465-0996
(2022)
Textural feature based intelligent approach for neurological abnormality detection from brain signal data.
PLoS ONE, 17.
ISSN 1932-6203
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| Item type | Article |
| URI | https://vuir.vu.edu.au/id/eprint/46191 |
| DOI | 10.1371/journal.pone.0277555 |
| Official URL | https://journals.plos.org/plosone/article?id=10.13... |
| Subjects | Current > FOR (2020) Classification > 4602 Artificial intelligence Current > Division/Research > Institute for Sustainable Industries and Liveable Cities |
| Keywords | neurological disease, disease dignosis, physcial abnormalities, electroencephalography, EEC |
| Download/View statistics | View download statistics for this item |
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