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: firstname.lastname@example.org
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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.