Research Repository

EEG Sleep Stages Analysis and Classification Based on Weighed Complex Network Features

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 (2018) EEG Sleep Stages Analysis and Classification Based on Weighed Complex Network Features. IEEE Transactions on Emerging Topics in Computational Intelligence. ISSN 2471-285X

Full text for this resource is not available from the Research Repository.
Item Type: Article
Uncontrolled Keywords: sleep; sleep stages; EEG signals; Lorenz; Rossler; time series; algorithm
Subjects: FOR Classification > 0801 Artificial Intelligence and Image Processing
Faculty/School/Research Centre/Department > College of Science and Engineering
Faculty/School/Research Centre/Department > Institute for Sustainable Industries and Liveable Cities
SWORD Depositor: Symplectic Elements
Depositing User: Symplectic Elements
Date Deposited: 27 Jun 2019 04:03
Last Modified: 04 Oct 2019 06:12
URI: http://vuir.vu.edu.au/id/eprint/38771
DOI: https://doi.org/10.1109/tetci.2018.2876529
ePrint Statistics: View download statistics for this item

Repository staff only

View Item View Item

Search Google Scholar