摘要
心电信号在临床诊断上有非常重要的作用,但由于容易受到噪声干扰,采集的心电信号中通常包含很强噪声,为了有效去除噪声干扰,该文提出了一种基于自适应阈值的小波模极大值算法来进行信号去噪。关键点是在每个分解尺度上自适应的选取合适的阈值,用来对小波变换系数的模极大值点进行筛选,以去除噪声极值点。该文采用MIT/BIH数据库中的数据对算法进行仿真验证,结果表明该算法有更好的去噪效果,同时心电信号能被很好的保留。
Wavelet maxima of Electrocardiogram（ECG） contains a lot of noise maxima In order to remove the small magnitude of the noise maxima, appropriate threshold must be selected to filter noise maxima Conventional threshold selection method has many flaws. The adaptive threshold algorithm adopted in this paper, combined with the specific characteristics of the signal and noise, could select the optimal threshold to filter the maxima at each decomposition scale.Applying it in denoising of electrocardiogram makes the good effect.
出处
《电子设计工程》
2014年第17期130-132,136,共4页
Electronic Design Engineering
关键词
心电信号
小波分析
小波模极大值
自适应阈值
electrocardiogram
wavelet analysis
wavelet maxima
adaptive threshold
