Journal of Guangdong University of Technology ›› 2004, Vol. 21 ›› Issue (4): 16-20.
• Comprehensive Studies • Previous Articles Next Articles
Application Research of Evoked Potential Signal Classification Based on RBF Neural Networks
- (1. Dept. Electronics and Computer, Guilin Institute of Technology, Guilin 541004,China; 2. Zhongxing Telecom Ltd. , Shenzhen 518004,China; 3.China Electromics Standardization Institute,Beijing100007,China)
| [1] 孙永海. 中潜伏期听觉诱发电位与麻醉深度的判断[J]. 国外医学.麻醉学与复苏分册. 1997(01) [2] 张俞伟,莫玮,丁宣浩,王美华. 一种基于神经网络的诱发电位提取方法[J]. 计算机工程与应用. 2002(14) [1] 徐秉铮等 编著.神经网络理论与应用[M]. 华南理工大学出版社, 1994[1] Maria Hansson,Tomas Gansler,Goran Salomonsson.A System for Tracking Changes in the Mid_Latency Evoked Potentials During Anesthesia. IEEE transactio on biomedical engineering . 1998 |
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Tel：020-37626653,020-37626139,020-37626396
Email：xbzrb@gdut.edu.cn
Supported:Beijing Magtech