New feature extraction for automated detection of epileptic seizure using complex network framework
Download
Download
Download
Full text for this resource is not available from the Research Repository.
Export
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
(2021)
New feature extraction for automated detection of epileptic seizure using complex network framework.
Applied Acoustics, 180.
ISSN 0003-682X
Dimensions Badge
Altmetric Badge
| Item type | Article |
| URI | https://vuir.vu.edu.au/id/eprint/43488 |
| DOI | 10.1016/j.apacoust.2021.108098 |
| Official URL | https://www.sciencedirect.com/science/article/pii/... |
| Subjects | Current > FOR (2020) Classification > 4003 Biomedical engineering Current > FOR (2020) Classification > 4203 Health services and systems Current > FOR (2020) Classification > 4611 Machine learning Current > Division/Research > Institute for Sustainable Industries and Liveable Cities |
| Keywords | epileptic seizure, electroencephalogram, EEG signals, EWF |
| Citations in Scopus | 10 - View on Scopus |
| Download/View statistics | View download statistics for this item |
CORE (COnnecting REpositories)