Analysis of Three Movement Intentions Based on Quasi-AR Model

Abstract

In Brain Computer Interface research, it is common to use linear method to analyze human's brain signals. For instance, AR modeling method may be used in the process of extracting features from the EEG (Electroencephalogram) signals. Some studies used statistical pattern recognition method based on AR model to discriminate the EEG signals (for example see [1] and [5]). On the other hand, the studies of Freeman (1991) suggested that Chaos underlies the ability of the brain to respond flexibly to the outside world. Therefore, some nonlinear modeling method may be used to analyze brain signals.In this study, we applied a non-linear modeling method based on quasi-AR model to extract features from EEG signals recorded during right hand, left hand, and right foot motor imagery.