Exploring Douglas-Peucker Algorithm in the Detection of Epileptic Seizure from Multicategory EEG Signals
Download
Download
DownloadPreview
5173589.pdf
- Published Version
(2MB)
| Preview
Available under license: Creative Commons Attribution
Export
Zarei, Roozbeh, He, Jing, Siuly, Siuly 
ORCID: https://orcid.org/0000-0003-2491-0546, Huang, Guangyan and Zhang, Yanchun ORCID: https://orcid.org/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
Dimensions Badge
Altmetric Badge
| 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 |
| Download/View statistics | View download statistics for this item |
CORE (COnnecting REpositories)