BIO Web Conf.
Volume 8, 20172016 International Conference on Medicine Sciences and Bioengineering (ICMSB2016)
|Number of page(s)||7|
|Section||Session II: Bioinformatics|
|Published online||11 January 2017|
Research on Algorithm for Feature Extraction and Classification of Motor Imagery EEG Signals
College of Medical Information and Engineering, Taishan Medical University, Taian 271016, China
a Corresponding author: email@example.com
This paper made a research on the feature extraction and pattern recognition of left and right hands motor imagery EEG signals. In combination with the data from BCI Competition III, denoising preprocessing is carried out for EEG signals firstly; and then, the relative wavelet energy is extracted as a feature vector from the Channels C3 and C4 by use of the algorithm for relative wavelet energy, and pattern recognition is carried out by use of the radial basis function neural network (RBFNN). Simulation results show that the proposed method achieves good classification results.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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