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

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Zarei, Roozbeh, He, Jing, Siuly, Siuly ORCID: 0000-0003-2491-0546, Huang, Guangyan 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
URI https://vuir.vu.edu.au/id/eprint/39352
DOI 10.1155/2019/5173589
Official URL https://www.hindawi.com/journals/bmri/2019/5173589...
Funders http://purl.org/au-research/grants/arc/LP100200682
Subjects Historical > FOR Classification > 0801 Artificial Intelligence and Image Processing
Current > Division/Research > Institute for Sustainable Industries and Liveable Cities
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
Citations in Scopus 21 - View on Scopus
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