摘要
对QRS波群快速、准确定位是心电信号自动检测和分析的关键,其前提条件是消除心电信号中的各种噪声干扰;针对提高QRS波群检测算法的抗噪性能,提出了一种基于经验模态分解方法和平稳小波变换相结合的QRS波检测方法;该方法对QRS波检测准确率高、定位精度好。
The rapid and accurate location of ECG signal of QRS complex is the key to the automatic detection and analysis of ECG signal. It is a prerequisite that efficiently eliminating the interruption of noises in ECG signal to accurately detect various characteristic waves. In order to improve the anti-noise performance of QRS detection algorithm,a QRS detection scheme based on EMD and wavelet transform is proposed in this paper. The algorithm realized a better detection and positioning accuracy.
作者
李明星
李旭雯
魏鑫
LI Mingxing;LI Xuwen;WEI Xin(Launch Vehicle Technology Academy of China Aerospace Science ＆Technology Industry Corporation,Beijing 102308,China;College of Life Science and Bioengineering,Beijing University of Technology,Beijing 100124,China;Beijing Institute of Control and Electronics Technology,Beijing 100038,China)
出处
《兵器装备工程学报》
CAS
北大核心
2018年第9期171-175,共5页
Journal of Ordnance Equipment Engineering
关键词
QRS波群
经验模态分解
小波变换
模极大值
QRS complex
empirical mode decomposition
wavelet transform modulus maximum
