A novel approach for classification of epileptic seizures using matrix determinant

作者：

Highlights：

• Matrix determinant was shown as a novel feature for seizure detection.

• In total, eleven classification problems were evaluated using matrix determinant.

• Descriptive analysis, histogram in polar coordinate and bivariate plot analysis was performed.

• Classification accuracy of 99.40% was attained using matrix determinant as a feature.

摘要

•Matrix determinant was shown as a novel feature for seizure detection.•In total, eleven classification problems were evaluated using matrix determinant.•Descriptive analysis, histogram in polar coordinate and bivariate plot analysis was performed.•Classification accuracy of 99.40% was attained using matrix determinant as a feature.

论文关键词：EEG,Epileptic seizures,K-Fold,Matrix determinant,SVM

论文评审过程：Received 18 June 2018, Revised 12 March 2019, Accepted 13 March 2019, Available online 13 March 2019, Version of Record 19 March 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.03.021