Optimizing the number of electrodes and spatial filters for Brain–Computer Interfaces by means of an evolutionary multi-objective approach
作者：
Highlights：
• Optimization of channel selection and spatial filter for Brain Computer Interfaces.
• A multi-objective evolutionary algorithm simultaneously optimizes filter and channels.
• Multi-objective approach returns a set of solutions (channels vs. error tradeoffs).
• A simple threshold is encoded to select channels instead of a longer binary mask.
• Joint optimization of filter and channels performs better than only the channels.
摘要
•Optimization of channel selection and spatial filter for Brain Computer Interfaces.•A multi-objective evolutionary algorithm simultaneously optimizes filter and channels.•Multi-objective approach returns a set of solutions (channels vs. error tradeoffs).•A simple threshold is encoded to select channels instead of a longer binary mask.•Joint optimization of filter and channels performs better than only the channels.
论文关键词：Brain–Computer Interfaces,Multi-objective optimization,Electrode selection,Spatial filters
论文评审过程：Available online 23 March 2015.
论文官网地址：https://doi.org/10.1016/j.eswa.2015.03.008
