Automated epilepsy detection techniques from electroencephalogram signals: a review study

Full text for this resource is not available from the Research Repository.

Supriya, Supriya ORCID: 0000-0002-3124-1187, Siuly, Siuly ORCID: 0000-0003-2491-0546, Wang, Hua ORCID: 0000-0002-8465-0996 and Zhang, Yanchun ORCID: 0000-0002-5094-5980 (2020) Automated epilepsy detection techniques from electroencephalogram signals: a review study. Health information science and systems, 8 (1). ISSN 2047-2501

Dimensions Badge

Altmetric Badge

Item type Article
URI https://vuir.vu.edu.au/id/eprint/43033
DOI https://doi.org/10.1007/s13755-020-00129-1
Official URL https://link.springer.com/article/10.1007/s13755-0...
Subjects Current > FOR (2020) Classification > 3209 Neurosciences
Current > Division/Research > Institute for Sustainable Industries and Liveable Cities
Keywords Neurology, intelligent classification technologies, brain neurons, EEG, machine learning
Citations in Scopus 25 - View on Scopus
Download/View statistics View download statistics for this item

Search Google Scholar

Repository staff login