基于GCV算法的背根节神经元放电信号的滤波  

Signal Filtering of Dorsal Root Ganglion Neurons based on Generalized Cross Validation (GCV) Algorithm

作　　者：徐洁[1] 宋英[1] 柴淮宁 

机构地区：[1]徐州医学院麻醉学院,江苏徐州221004

出　　处：《生物医学工程研究》2013年第3期150-152,共3页Journal Of Biomedical Engineering Research

摘　　要：为去除背根节神经元放电信号中的噪声,便于进一步分析信号,采用小波滤波法。先将含噪信号采用haar小波进行5层分解,然后在传统小波软阈值滤波的基础上,提出用GCV算法来确定最优阈值,最后进行信号重构。通过matlab仿真实验表明,采用了GCV算法的滤波方法能有效去除神经元放电信号中的噪声,去噪后信号光滑连续好,并且保留了信号峰值的相关细节。In order to remove the noise from the discharging signal of dorsal root ganglion(DRG)neurons for further analysis,the wavelet filtering method was used.First the signal with noise was decomposed through the harr wavelet,and then the GCV algorithm was used to determine?the optimal threshold based on soft-threshold method,at last the signal was reconstructed.It demonstrates that the method using GCV algorithm can effectively remove the noise from neurons discharging signal.The denoised waveform is smooth and continuous,and the signal peaks related details are retained.

关 键 词：GCV算法 背根节 神经元 小波阈值 滤波 

分 类 号：R318[医药卫生—生物医学工程] TP391.9[医药卫生—基础医学]