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Exploring Douglas-Peucker algorithm in the detection of epileptic seizure from multicategory EEG signals

Zarei, Roozbeh, He, Jing, Siuly, Siuly, Huang, Guangyan and Zhang, Yanchun 2019, Exploring Douglas-Peucker algorithm in the detection of epileptic seizure from multicategory EEG signals, BioMed research international, vol. 2019, pp. 1-19, doi: 10.1155/2019/5173589.

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Title Exploring Douglas-Peucker algorithm in the detection of epileptic seizure from multicategory EEG signals
Author(s) Zarei, RoozbehORCID iD for Zarei, Roozbeh orcid.org/0000-0001-6738-334X
He, Jing
Siuly, Siuly
Huang, GuangyanORCID iD for Huang, Guangyan orcid.org/0000-0002-1821-8644
Zhang, Yanchun
Journal name BioMed research international
Volume number 2019
Article ID 5173589
Start page 1
End page 19
Total pages 19
Publisher Hindawi Publishing Corporation
Place of publication Cairo, Egypt
Publication date 2019
ISSN 2314-6133
2314-6141
Keyword(s) Electroencephalogram (EEG)
epileptic seizures
Douglas-Peucker algorithm (DP)
principal component analysis (PCA)
Language eng
DOI 10.1155/2019/5173589
Indigenous content off
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2019, Roozbeh Zarei et al.
Free to Read? Yes
Use Rights Creative Commons Attribution licence
Persistent URL http://hdl.handle.net/10536/DRO/DU:30128529

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.