Time-Variant Spatial Filtering for Motor Imagery Classification

Abstract

Effective spatial filtering plays a key role in motor imagery classification. This paper presents a novel approach to spatial filtering of EEG signal by modelling time-variant spatial patterns. This is in contrast to conventional common spatial pattern which assumes static spatial patterns in a motor imagery trial. We define the model such that it accounts… (More)

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@article{Zhang2007TimeVariantSF, title={Time-Variant Spatial Filtering for Motor Imagery Classification}, author={Haihong Zhang and Chuanchu Wang and Cuntai Guan}, journal={2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society}, year={2007}, pages={3124-3127} }