Automatic channel selection using multiobjective X-shaped binary butterfly algorithm for motor imagery classification
作者：
Highlights：
• A Multi-objective X-shaped Butterfly algorithm is proposed for channel selection.
• Our method mimics food foraging behaviour of butterflies in channel selection.
• Two Sigmoid transfer functions are used to enhance the solution diversity.
• Three public BCI competition datasets are used for validation.
• Our method realized the highest classification accuracy with lesser channels.
摘要
•A Multi-objective X-shaped Butterfly algorithm is proposed for channel selection.•Our method mimics food foraging behaviour of butterflies in channel selection.•Two Sigmoid transfer functions are used to enhance the solution diversity.•Three public BCI competition datasets are used for validation.•Our method realized the highest classification accuracy with lesser channels.
论文关键词：Brain-computer interface,Motor imagery,Multivariate empirical mode decomposition,Support vector machine,Topographical mapping
论文评审过程：Received 13 June 2021, Revised 6 April 2022, Accepted 2 June 2022, Available online 7 June 2022, Version of Record 21 June 2022.
论文官网地址：https://doi.org/10.1016/j.eswa.2022.117757
