Common Spatial Pattern and Particle Swarm Optimization for Channel Selection in BCI

Common spatial pattern algorithm (CSP) is famous for extracting ERD/ERS feature from multi-channel BCIs based on motor imagery. However, if channel number is large, CSP will tend to overfitting and it is inconvenient for clinical operation. In this study, CSP filters' discrimination and channel number are integrated under one roof. Then binary particle swarm optimization (BPSO) is employed to select the best channel groups. Experimental results of BCI2003 dataset IV and BCI2005 dataset I show that good classification accuracies can be achieved only with 914 channels.

[1]  Xiaorong Gao,et al.  Feature Extraction and Subset Selection for Classifying Single-Trial ECoG during Motor Imagery , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[2]  Selina Wriessnegger,et al.  Regularised CSP for Sensor Selection in BCI , 2006 .

[3]  Klaus-Robert Müller,et al.  Combined Optimization of Spatial and Temporal Filters for Improving Brain-Computer Interfacing , 2006, IEEE Transactions on Biomedical Engineering.

[4]  Yuanqing Li,et al.  A Semi-supervised SVM Learning Algorithm for Joint Feature Extraction and Classification in Brain Computer Interfaces , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[5]  Yijun Wang,et al.  Common Spatial Pattern Method for Channel Selelction in Motor Imagery Based Brain-computer Interface , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

[6]  Steven Lemm,et al.  BCI competition 2003-data set III: probabilistic modeling of sensorimotor /spl mu/ rhythms for classification of imaginary hand movements , 2004, IEEE Transactions on Biomedical Engineering.

[7]  Jian Yang,et al.  Why can LDA be performed in PCA transformed space? , 2003, Pattern Recognit..

[8]  Russell C. Eberhart,et al.  A discrete binary version of the particle swarm algorithm , 1997, 1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation.

[9]  Klaus-Robert Müller,et al.  The BCI competition 2003: progress and perspectives in detection and discrimination of EEG single trials , 2004, IEEE Transactions on Biomedical Engineering.