Computer and Modernization ›› 2014, Vol. 0 ›› Issue (9): 116-119.doi: 10.3969/j.issn.10062475.2014.09.026

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RCEbased Spatial Filtering Method for Recognition of Motor Imagery Potential

  

  1. 1. PLA 91604 Unit, Longkou 265700, China;
     2. College of Information and Communication Engineering, Dalian Nationality University, Dalian 116600, China
  • Received:2014-06-24 Online:2014-10-10 Published:2014-11-04

Abstract:

The original signal usually needs filtering to extract the components with higher degree of distinction before the motor imagery potential classification, which
results in loss of the useful information under the serious noise interference, as the result, the classification correct rate will be degraded. To solve this problem, hereby a
rhythmic component extraction (RCE) combined with common spatial subspace decomposition (CSSD) for feature extraction while using the linear classifier was proposed. The
identification accuracy reached 87.22% by using the method for the international BCI Competition 2003 data, classification accuracy improved by 6.8% compared with traditional
methods of spatial filtering, which show that the method can be effectively applied to the identification of left and right hand motor imagery potential.

Key words: motor imagery potential, electroencephalography, common spatial subspace decomposition, rhythmic component extraction

CLC Number: