Multi-kernel extreme learning machine for EEG classification in brain-computer interfaces

作者：

Highlights：

• Multi-kernel extreme learning machine based method is proposed for EEG classification.

• Supplementary information from different kernels are integrated for better accuracy.

• Extensive experimental comparison confirms superiority of the proposed method.

摘要

•Multi-kernel extreme learning machine based method is proposed for EEG classification.•Supplementary information from different kernels are integrated for better accuracy.•Extensive experimental comparison confirms superiority of the proposed method.

论文关键词：Brain-computer interface,Electroencephalogram,Extreme learning machine,Multi-kernel learning,Motor imagery

论文评审过程：Received 9 March 2017, Revised 6 December 2017, Accepted 7 December 2017, Available online 8 December 2017, Version of Record 22 December 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.12.015