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
Appears in Collections:Conferences Paper