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基于小波变换的颜色视觉诱发电位检测去噪研究
引用本文:熊凯,侯民贤,叶关荣,杨亚波. 基于小波变换的颜色视觉诱发电位检测去噪研究[J]. 生物医学工程学杂志, 2006, 23(3): 496-498
作者姓名:熊凯  侯民贤  叶关荣  杨亚波
作者单位:1. 浙江大学,现代光学仪器国家重点实验室,杭州,310027;浙江大学,医学院,附属第二医院,眼科中心,杭州,310009
2. 浙江大学,现代光学仪器国家重点实验室,杭州,310027
3. 浙江大学,医学院,附属第二医院,眼科中心,杭州,310009
基金项目:浙江省科技厅资助项目;浙江省杭州市科技局资助项目
摘    要:为了提高检测的效率,将基于小波变换的信号分析方法引入到颜色视觉诱发电位(Visual evoked potential,VEP)的检测中,提出了基于多尺度条件下小波变换模极大值分布图的重建VEP信号的方法。该方法对初始采集信号采用Mallat快速算法进行离散小波变换得到模极大值分布图。根据信号噪声的Lipschitz指数特性进行去噪。最后按照POCS(Projections onto convex sets)方法进行信号的重建。仿真实验结果表明该方法对VEP信号的去噪效果比较理想。同时该方法极大地降低了测试次数。因此该方法与现有临床的叠加方法相比有明显的优披件.

关 键 词:小波变换  颜色视觉诱发电位  去噪  模极大值
收稿时间:2004-06-17
修稿时间:2004-06-172004-09-21

Research for De-noising in the Detection of Chromatic Visual Evoked Potential Based on Wavelet
Xiong Kai,Hou Minxian,Ye Guanrong,Yang Yabo. Research for De-noising in the Detection of Chromatic Visual Evoked Potential Based on Wavelet[J]. Journal of biomedical engineering, 2006, 23(3): 496-498
Authors:Xiong Kai  Hou Minxian  Ye Guanrong  Yang Yabo
Affiliation:1.State Key Laboratory of Modern Optical Instrumentation, Zhejiang University, Hangzhou 310027, China; 2 .Department of Ophthalmology, The Second Affiliated Hospital, College of Medical Sciences, Zhejiang University, Hangzhou 310009, China
Abstract:The signal analysis technology based on wavelet was used to detect the chromatic visual evoked potential(VEP).The method was based on wavelet transform modulus maxima reconstruction.The test signal was decomposed using the dyadic discrete time wavelet transform "Mallat" algorithm,and the modulus maxima distribution of each scale was obtained.Signal was de-noised as the Lipschitz coefficient.The POCS method was used to reconstruction the original signal.The news method proved not only good for de-noising but also for decreasing the times of test by the simulation result.
Keywords:Wavelet transform Visual evoked potential(VEP) De-nosing Modulus maxima  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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