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作 者:李明星 李旭雯[2] 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)
机构地区:[1]中国航天科工运载技术研究院北京分院,北京102308 [2]北京工业大学生命科学与生物工程学院,北京100124 [3]北京控制与电子技术研究所,北京100038
出 处:《兵器装备工程学报》2018年第9期171-175,共5页Journal of Ordnance Equipment Engineering
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.
分 类 号:TN714[电子电信—电路与系统]
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