Automated EEG signal classification using chaotic local binary pattern
Article
Article Title | Automated EEG signal classification using chaotic local binary pattern |
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ERA Journal ID | 17852 |
Article Category | Article |
Authors | Tuncer,Turker, Dogan, Sengul and Acharya, U. Rajendra |
Journal Title | Expert Systems with Applications |
Journal Citation | 182 |
Article Number | 115175 |
Number of Pages | 8 |
Year | 2021 |
Publisher | Elsevier |
Place of Publication | United Kingdom |
ISSN | 0957-4174 |
1873-6793 | |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.eswa.2021.115175 |
Web Address (URL) | https://www.sciencedirect.com/science/article/pii/S0957417421006138 |
Abstract | Background Method Results Conclusion |
Keywords | EEG classification; Fractal hypercube graph pattern; Iterative neighborhood component analysis ; Epilepsy seizure detection |
ANZSRC Field of Research 2020 | 400306. Computational physiology |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Firat University, Turkey |
Ngee Ann Polytechnic, Singapore | |
Singapore University of Social Sciences (SUSS), Singapore | |
Asia University, Taiwan |
https://research.usq.edu.au/item/z1w3z/automated-eeg-signal-classification-using-chaotic-local-binary-pattern
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