Subject-Specific Channel Selection Using Time Information for Motor Imagery Brain–Computer Interfaces

@article{Yang2015SubjectSpecificCS,
  title={Subject-Specific Channel Selection Using Time Information for Motor Imagery Brain–Computer Interfaces},
  author={Yuan Yang and Isabelle Bloch and Sylvain Chevallier and Joe Wiart},
  journal={Cognitive Computation},
  year={2015},
  volume={8},
  pages={505-518}
}
Keeping a minimal number of channels is essential for designing a portable brain–computer interface system for daily usage. Most existing methods choose key channels based on spatial information without optimization of time segment for classification. This paper proposes a novel subject-specific channel selection method based on a criterion called F score to realize the parameterization of both time segment and channel positions. The F score is a novel simplified measure derived from Fisher’s… CONTINUE READING
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