Analysis and Research of EEG for Imagery Movement Direction

作者：Li Jun wei^*; Gu Jason; Xie Yun

来源：International Conference on Computer Science and Artificial Intelligence (ICCSAI), 2014-12-20 to 2014-12-21.

• BCI
• EEG features
• FFT Band-pass filter
• wavelet transform
• ELM

In this paper, the purpose is to analysis investigation for mental EEG of imagery movement direction. Firstly, using the FFT Band-pass filter method to deal with the noise of the collect EEG data. To calculate the average energy of the experiment total number of each node, according to the energy change, determine the research channels; Then, by using the method of wavelet decomposition for the selected channel, calculate the wavelet subband energy with wavelet coefficients mean as the combination characteristic. Finally, under the characteristic, using the Extreme Learning Machine (ELM) method and BP neural network classifier to classify the feature signals, respectively. At the end, according to the experimental results, selected the ELM classifying with combination characteristic is more effective than the BP.

• 出版日期2015
• 单位河南大学; 中国人民解放军信息工程大学