An Approach for Measurement and Recognition of Electroencephalography

摘要：

With the fast development of Brain Computer Interface (simply called BCI), Electroencephalography (simply called EEG) will be another interesting bio-electrical signal applied in the dexterous control of the robot hand after EMG. In order to realize it finally, pattern recognition of human hand activities based on EEG is a very important and elementary research objective. After discussing the signal features of EEG, a two-channel measuring system about EEG signal is at first set up in this paper. And then, an artificial neural network classifier is presented based on the five spectral features of EEG. After sample learning is over, the artificial neural network can output good results of pattern recognition about human hand activities according to input spectral features of these mental tasks.

关键词： Electroencephalography Measurement Pattern recognition Artificial neural network

作者: Zhang Xiaodong

作者单位: Northwestern Polytechnical University,Xian 710072 China

会议类型: 国际会议

会议名称: 第八届国际电子测量与仪器学术会议(Proceedings of 2007 8th International Conference on Electronic Measurement & Instruments)

会议地点: 西安

会议语种:英文

在线出版日期: 2007-08-16（万方平台首次上网日期，不代表论文的发表时间）