AUTHOR=Zhang Haihong , Guan Cuntai , Ang Kai Keng , Chin Zheng Yang 

TITLE=BCI Competition IV – Data Set I: Learning Discriminative Patterns for Self-Paced EEG-Based Motor Imagery Detection

JOURNAL=Frontiers in Neuroscience

VOLUME=6

YEAR=2012

URL=https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2012.00007

DOI=10.3389/fnins.2012.00007

ISSN=1662-453X

ABSTRACT=<p>Detecting motor imagery activities versus non-control in brain signals is the basis of self-paced brain-computer interfaces (BCIs), but also poses a considerable challenge to signal processing due to the complex and non-stationary characteristics of motor imagery as well as non-control. This paper presents a self-paced BCI based on a robust learning mechanism that extracts and selects spatio-spectral features for differentiating multiple EEG classes. It also employs a non-linear regression and post-processing technique for predicting the time-series of class labels from the spatio-spectral features. The method was validated in the BCI Competition IV on Dataset I where it produced the lowest prediction error of class labels continuously. This report also presents and discusses analysis of the method using the competition data set.</p>