標題: | Classification of EEG-P300 Signals Using Phase Locking Value and Pattern Recognition Classifiers |
作者: | Chikara, Rupesh Kumar Ko, Li-Wei 生物科技學系 生物資訊及系統生物研究所 腦科學研究中心 Department of Biological Science and Technology Institude of Bioinformatics and Systems Biology Brain Research Center |
關鍵字: | EEG;PLV;BCI;Classification;Response Inhibition |
公開日期: | 2015 |
摘要: | In this paper, we present a classification method based on electroencephalogram (EEG) signal during left hand and right hand response inhibition (stop success vs stop fail) from different participants. The system uses phase locking value (PLV) for the features extraction and pattern recognition algorithm for classification. There are four classifiers: QDC, KNNC, PARZENDC and LDC used in this paper to estimate the accuracy of our system. Based on the collected time-domain EEG signals, the phase locking value (PLV) from C3-CZ and C4- CZ electrodes are calculated and then used as the feature and input for the classifiers algorithm. The classification system demonstrate an accuracy of 92 % in LDC. The results of this study suggest the method could be utilized effectively for response inhibition identification. |
URI: | http://hdl.handle.net/11536/135997 |
ISBN: | 978-1-4673-9606-6 |
期刊: | 2015 CONFERENCE ON TECHNOLOGIES AND APPLICATIONS OF ARTIFICIAL INTELLIGENCE (TAAI) |
起始頁: | 367 |
結束頁: | 372 |
顯示於類別: | 會議論文 |