摘要
针对心电(ECG)信号受到噪声干扰及发生基线漂移的问题,利用数学形态学的滤波方法,提出了ECG信号去噪及校正基线漂移的算法。根据ECG信号和噪声的不同性质,采用不同尺寸的结构元素对信号进行处理。形态学滤波器的优点是计算简单、速度快、实时性好,在矫正基线漂移和去除高频噪声的过程中,不但有效地滤除干扰信号,同时还很好地保持了ECG信号的特征形态。通过LabVIEW进行试验仿真,结果表明该方法可以有效地去除噪声。
Electrocardiogram（ECG） signals are usually interfered by noises and base-line drift.A morphological filtering approach is put forward to remove the noise of the ECG signals and to calibrate the base-line drift in this paper.Different sizes of structuring elements were used to process the signals for different properties of ECG signal and noise.The morphological filtering approach is simple,fast and real-time in processing the signals,and it keeps the ECG signal shape unchanged while removing the noise.An experiment was carried out to simulate the morphological filtering approach with LabVIEW,and it was shown that this approach was effective in removing noise and in calibrating the base-line drift.
出处
《生物医学工程学杂志》
EI
CAS
CSCD
北大核心
2011年第2期365-370,共6页
Journal of Biomedical Engineering
基金
国家"863"重点项目资助(2006AA040206)
关键词
数学形态学
心电图
结构元素
去噪
Mathematical morphology
Electrocardiogram（ECG）
Structuring element
Denoising
