Electroencephalogram signal classification based on shearlet and contourlet transforms
作者：
Highlights：
• Detection of epilepsy patterns in EEG signals with high accuracy.
• Development of a novel methodology based on curvelet and shearlet transforms.
• Extraction of a set of discriminative characteristics from the signals.
• Evaluation on a public data set.
• Results superior/comparable to the literature.
摘要
•Detection of epilepsy patterns in EEG signals with high accuracy.•Development of a novel methodology based on curvelet and shearlet transforms.•Extraction of a set of discriminative characteristics from the signals.•Evaluation on a public data set.•Results superior/comparable to the literature.
论文关键词：Epilepsy,Electroencephalogram signals,Shearlets,Contourlets
论文评审过程：Received 21 June 2016, Revised 25 September 2016, Accepted 25 September 2016, Available online 26 September 2016, Version of Record 30 September 2016.
论文官网地址：https://doi.org/10.1016/j.eswa.2016.09.037
