Accurately Monitoring the Depth of Anaesthesia Using an Intelligent Method

摘要：

This paper introduce the development of a monitoring system to depth of anaesthesia in a surgery. We first developed the Audiory Evoked Potential (AEP) method and the bispectrium method. Then we combined them together using a off-line trained neural networks. The preliminary results show that our calculated index is closely relative to the depth of anaesthesia.

关键词： Depth of Anaesthesia EEG ANN Bispectrum

作者: Yingchun Li Zicong Wang Peng Wen Max Q.-H. Meng

作者单位: Biomedical Engineering Center, Shenzhen Institute of Advanced Technology, CAS, China Biomedical Engineering Center, Shenzhen Institute of Advanced Technology, CAS, China;School of Life Faculty of Engineering & Surveying, University of Southern Queensland, Australia Biomedical Engineering Center, Shenzhen Institute of Advanced Technology, CAS, China;Department of E

会议类型: 国际会议

会议名称: 2007 IEEE/ICME International Conference on Complex Medical Engineering-CME2007(CME2007 第二届国际复合医学工程学术大会)

会议地点: 北京

会议语种:英文

页码: 385-388

在线出版日期: 2007-05-23（万方平台首次上网日期，不代表论文的发表时间）