小波去噪方法的仿真研究

Simulation Study of De-noising ECG with Wavelet

去除在心电信号采集过程中混入的基线漂移等噪声信号,避免噪声对心电信号特征点的识别和提取造成误判和漏判。利用样条小波小波对心电信号按Mallat算法进行分解,然后小波重构的算法进行去噪。采用MIT-BIH数据库中的心电信号进行仿真、验证,有效去除了噪声信号。此方法实时性好,为临床分析与诊断莫定了基础。

Baseline drift may be mixed in ECG signal when acquiring signals. In order to avoid the miscarriage and missing of justice, in this paper, we first decompose the ECG signals with Spline Wavelet in the way of Mallat, then de-noise with the method of reconstruction of wavelet. We Simulate and verify this with MIT-BIH data base, and fred that it is an effective way in de-noising.It laid a sound basis for medical diagnosis and clinical analysis.