Title :
Feature relevance analysis supporting automatic motor imagery discrimination in EEG based BCI systems
Author :
Alvarez-Meza, Andres M. ; Velasquez-Martinez, L.F. ; Castellanos-Dominguez, German
Author_Institution :
Signal Process. & Recognition Group, Univ. Nac. de Colombia, Manizales, Colombia
Abstract :
Recently, there have been many efforts to develop Brain Computer Interface (BCI) systems, allowing identifying and discriminating brain activity, as well as, support the control of external devices, and to understand cognitive behaviors. In this work, a feature relevance analysis approach based on an eigen decomposition method is proposed to support automatic Motor Imagery (MI) discrimination in electroencephalography signals for BCI systems. We select a set of features representing the best as possible the studied process. For such purpose, a variability study is performed based on traditional Principal Component Analysis. EEG signals modelling is carried out by feature estimation of three frequency-based and one time-based. Our approach provides testing over a well-known MI dataset. Attained results show that presented algorithm can be used as tool to support discrimination of MI brain activity, obtaining acceptable results in comparison to state of the art approaches.
Keywords :
brain-computer interfaces; cognition; electroencephalography; feature extraction; medical signal processing; principal component analysis; EEG based brain computer interface systems; EEG signal modelling; automatic motor imagery discrimination; brain activity; cognitive behaviors; eigen decomposition method; electroencephalography signals; external device control; feature relevance analysis; frequency-based feature estimation; support automatic motor imagery discrimination; time-based feature estimation; traditional principal component analysis; Continuous wavelet transforms; Discrete wavelet transforms; Electroencephalography; Feature extraction; Principal component analysis; Time-frequency analysis;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
Conference_Location :
Osaka
DOI :
10.1109/EMBC.2013.6611186