EEG signal processing in anesthesia-using wavelet-based informational tools

被引：0
|
作者：
Ye, Zhiqian [1 ]
Tian, Fuying [1 ]
Weng, Jianfeng [1 ]
机构：
[1] Zhejiang Univ, Coll Biomed Engn & Sci Instrumentat, Hangzhou 310027, Peoples R China
来源：
2005 27TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-7 | 2005年
关键词：
wavelet analysis; wavelet entropy; depth of anesthesia; electroencephalogram (EEG);
D O I：
暂无
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
A new tools of wavelet entropy (WE) is applied to characterize the dynamical properties of EEGs for purpose of evaluating the depth of anesthesia (DOA). 31 cases are analysed with WE, and the result shows the WE measure for EEGs can distinguish awake and asleep state in anesthesia with a high accuracy of 95%. Compared with C(n) complexity, the WE demonstrates the same good performance, and needs shorter data length for analysis. These remind that WE is a potential quantifier of DOA.
引用
收藏
页码：4127 / 4129
页数：3
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