小波变换用于提取MLAEP信号  

EXTRACTION OF MLAEP BY WAVELET TRANSFORMATION

作　　者：张俞伟[1] 莫玮[1] 丁宣浩[1] 

机构地区：[1]桂林电子工业学院,广西桂林541004

出　　处：《青岛大学学报（自然科学版）》2001年第4期45-50,共6页Journal of Qingdao University(Natural Science Edition)

基　　金：广西区自然科学基金资助(9912019);国家自然科学基金资助(69871010)。

摘　　要：中潜伏期听觉诱发电位(MLAEP)与麻醉深度紧密相关。本文利用小波变换实现提取MLAEP信号。本文首先研究了小波变换与信号奇异性的关系,再根据小波变换模极大值的变化特性来检测信号的局部奇异性,利用信号和噪声不同的尺度特性实现去噪。仿真结果表明此方法对MLAEP的提取具有较好效果。s:It is reported that there is relationship between MLAEP and depth of ansethesia. This paper presents a way to extract the MLAEP. The relationship between Wavelet transform and signals singularity is investigated in this paper. Based on the change of wavelet transform modulus, the local singularity of signal can be detected. By using different characteristics between signal and noise, the signal can be de-noised. The simulation results show good effect.

关 键 词：中潜伏期听觉 诱发电位 MLAEP 小波变换 奇异性 麻醉深度 信号检测 外科手术 

分 类 号：R614[医药卫生—麻醉学]