基于EMD和仿生小波变换的r波检测

B. Khiari, Ezzedine Ben Braiek, M. Jemni
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引用次数: 4

摘要

心电图(ECG)中最显著的波形是QRS复合体。R波的检测是心电图自动分析的第一步。本文提出了一种对心电信号进行预处理的新方法,以便对心电信号进行适当的恢复和增强。为此,我们使用经验模态分解中的固有分量问题。为了强调和提取R波,我们采用仿生小波变换对心电信号进行分解。最后应用阈值时间/振幅来确定r波的位置。该算法在信号QT数据库上进行了测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
R-wave detection using EMD and bionic wavelet transform
The most striking waveform in an electrocardiogram (ECG) is the QRS complex. The detection of the R wave is the first step in any automatic analysis of the ECG. In this paper, we propose a new method based on a preprocessing of ECG signal in order to restore and enhance it properly. For this purpose, we use the intrinsic components issues from the empirical modal decomposition. To emphasize and extract R waves, we proceed to a decomposition of ECG signal by bionic wavelet transform. Finally thresholding time/amplitude is applied to determine the position of the R-wave. The algorithm tests have been carried out on the signals QT database.
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