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 (external link), Siuly, Siuly ORCID: 0000-0003-2491-0546 (external link), Wang, Kate ORCID: 0000-0001-5208-1090 (external link) and Wang, Hua ORCID: 0000-0002-8465-0996 (external link) (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 (external link)
Official URL https://journals.plos.org/plosone/article?id=10.13... (external link)
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
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