Non-linear classifiers applied to EEG analysis for epilepsy seizure detection

作者：

Highlights：

• BoW and non-linear SVM, improve accuracy rates found in literature.

• BoW-inspired method is very convenient for noisy signals.

• The use of non-linear kernels for BoW reveals unnecessary.

• The BoW performance is due to the more linear and discriminative space it creates.

摘要

•BoW and non-linear SVM, improve accuracy rates found in literature.•BoW-inspired method is very convenient for noisy signals.•The use of non-linear kernels for BoW reveals unnecessary.•The BoW performance is due to the more linear and discriminative space it creates.

论文关键词：Classification algorithms,Non-linear classifiers,SVM,Bag of words,Wavelet,Epilepsy

论文评审过程：Received 1 February 2017, Revised 16 May 2017, Accepted 20 May 2017, Available online 22 May 2017, Version of Record 1 June 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.05.052