Single-Trial Electrical Perception Recognition via Single-Channel Electroencephalogram
Single-trial classification of electroencephalogram (EEG) has received increasing attention for psychological and engineering research, particular the brain computer interface (BCI). A novel method to recognize the EEG pattern induced by an electrical current stimulus was studied. Experimental results showed the electrical stimulating pattern can be recognized via single-trial and single-channel EEG using artificial neural networks. For a BP neural network, the correction ratio was better than 90％. The method has potential to use for the objective study on human perception.
EEG Single-trial Artificial neural network Perception
Yi Qiu Guiping Dai Yuping Miao Ruifen Hu Guang Li
Department of Control Science and Engineering, National Key Lab of Industrial Control Technology, Zhejiang University, Hangzhou 310027, China
国际会议
The Second International Conference on Cognitive Neurodynamics--2009(第二届国际认知神经动力学会议)
杭州
英文
629-634
2009-11-15（万方平台首次上网日期，不代表论文的发表时间）