Research on Algorithm for Feature Extraction and Classification of Motor Imagery EEG Signals

分享到

作者单位: Taishan Med Univ, Coll Med Informat & Engn, Tai An 271016, Shandong, Peoples R China

会议录: 2016 INTERNATIONAL CONFERENCE ON MEDICINE SCIENCES AND BIOENGINEERING (ICMSB2016)

摘要: 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 C-3 and C-4 by use of the algorithm for relative wavelet energy, and pattern recognition is carried out by use of the radial basis function neural network . Simulat...更多; 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 C-3 and C-4 by use of the algorithm for relative wavelet energy, and pattern recognition is carried out by use of the radial basis function neural network . Simulation results show that the proposed method achieves good classification results.收起

列表公用js 卡片页统计