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Exploring Douglas-Peucker Algorithm in the Detection of Epileptic Seizure from Multicategory EEG Signals

Zarei, R, He, J, Siuly, Siuly ORCID: 0000-0003-2491-0546, Huang, G and Zhang, Yanchun ORCID: 0000-0002-5094-5980 (2019) Exploring Douglas-Peucker Algorithm in the Detection of Epileptic Seizure from Multicategory EEG Signals. BioMed Research International, 2019. ISSN 2314-6133

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Item Type: Article
Uncontrolled Keywords: electroencephalogram signals; EEG signals; epileptic seizures; Douglas-Peucker algorithm; principal component analysis; machine leaning model; random forest classifier; k-nearest neighbour algorithm; support vector machine; decision tree classifier
Subjects: FOR Classification > 0801 Artificial Intelligence and Image Processing
Faculty/School/Research Centre/Department > Institute for Sustainable Industries and Liveable Cities
SWORD Depositor: Symplectic Elements
Depositing User: Symplectic Elements
Date Deposited: 03 Sep 2019 23:44
Last Modified: 03 Sep 2019 23:44
URI: http://vuir.vu.edu.au/id/eprint/39352
DOI: https://doi.org/10.1155/2019/5173589
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Citations in Scopus: 0 - View on Scopus

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