A neurophysiological approach to spatial filter selection for adaptive brain-computer interfaces
James D Bennett, Sam E John, David B Grayden, Anthony N Burkitt
JOURNAL OF NEURAL ENGINEERING | IOP PUBLISHING LTD | Published : 2021
OBJECTIVE: The Common Spatial Patterns (CSP) algorithm is an effective method to extract discriminatory features from electroencephalography (EEG) to be used by a brain-computer interface (BCI). However, informed selection of CSP filters typically requires oversight from a BCI expert to accept or reject filters based on the neurophysiological plausibility of their activation patterns. Our goal was to identify, analyze and automatically classify prototypical CSP patterns to enhance the prediction of motor imagery states in a BCI. APPROACH: A data-driven approach that used four publicly available EEG datasets was adopted. Cluster analysis revealed recurring, visually similar CSP patterns and a..View full abstract
The authors acknowledge the support of the University of Melbourne, Melbourne Research Scholarship. The authors would also like to thank the authors of  for their open-source MOABB toolbox which was used to evaluate the BCI decoders.