Common Spatio-Time-Frequency Patterns for Motor Imagery-Based Brain Machine Interfaces

Abstract

For efficient decoding of brain activities in analyzing brain function with an application to brain machine interfacing (BMI), we address a problem of how to determine spatial weights (spatial patterns), bandpass filters (frequency patterns), and time windows (time patterns) by utilizing electroencephalogram (EEG) recordings. To find these parameters, we… (More)
DOI: 10.1155/2013/537218

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Cite this paper

@inproceedings{Higashi2013CommonSP, title={Common Spatio-Time-Frequency Patterns for Motor Imagery-Based Brain Machine Interfaces}, author={Hiroshi Higashi and Toshihisa Tanaka}, booktitle={Comp. Int. and Neurosc.}, year={2013} }