Deep Convolutional Neural Network Based Eye States Classification Using Ear-EEG

作者：

Highlights：

• A deep CNN algorithm increased the classification performance of ear-EEG.

• The performance of a CNN method using ear-EEG was comparable to that of scalp-EEG.

• The feasibility of the offline results was verified in pseudo-online simulation.

摘要

•A deep CNN algorithm increased the classification performance of ear-EEG.•The performance of a CNN method using ear-EEG was comparable to that of scalp-EEG.•The feasibility of the offline results was verified in pseudo-online simulation.

论文关键词：Scalp-EEG,Ear-EEG,CNN,LDA,Eye-state identification

论文评审过程：Received 17 March 2021, Revised 15 November 2021, Accepted 20 December 2021, Available online 29 December 2021, Version of Record 3 January 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.116443