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

Discovering the concealed patterns of Electroencephalogram (EEG) signals is a crucial part in efficient detection of epileptic seizures. This study develops a new scheme based on Douglas-Peucker algorithm (DP) and principal component analysis (PCA) for extraction of representative and discriminatory...

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Detalles Bibliográficos
Autores principales: Zarei, Roozbeh, He, Jing, Siuly, Siuly, Huang, Guangyan, Zhang, Yanchun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6642761/
https://www.ncbi.nlm.nih.gov/pubmed/31360715
http://dx.doi.org/10.1155/2019/5173589

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6642761/
https://www.ncbi.nlm.nih.gov/pubmed/31360715
http://dx.doi.org/10.1155/2019/5173589

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