EEG signal classification using universum support vector machine

作者：

Highlights：

• Electroencephalogram signal classification is performed using universum learning.

• Support vector machine classifier uses prior information from interictal signals.

• Many feature extraction techniques are used for comparing the algorithms.

• Universum support vector machine is used first time for seizure classification.

摘要

•Electroencephalogram signal classification is performed using universum learning.•Support vector machine classifier uses prior information from interictal signals.•Many feature extraction techniques are used for comparing the algorithms.•Universum support vector machine is used first time for seizure classification.

论文关键词：Universum,Interictal,Support vector machine,Twin support vector machine

论文评审过程：Received 3 November 2017, Revised 25 February 2018, Accepted 26 March 2018, Available online 7 April 2018, Version of Record 14 April 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.03.053