心电信号降噪及R波提取技术研究
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1.华北理工大学电气工程学院 唐山 063210; 2.赣州紫荆中科智能科技有限公司 赣州 341199

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TN911.72

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河北省自然科学基金(F2015209308)项目资助


Research on ECG signal noise reduction and R-wave extraction technology
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1.School of Electrical Engineering, North China University of Technology, Tangshan 063210,China; 2.Ganzhou Bauhinia Zhongke Intelligent Technology Co., Ltd., Ganzhou 341199, China

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    摘要:

    心电信号中R波的准确定位是其他波形定位的基础,在心电信号特征波形的研究中处于首要位置。本文根据R波在整个心电波形中幅值最为明显的特点,提出了一种基于小波理论提取R波的方法。首先选择合适的方法去除心电信号中的噪声,其次对去噪后的心电信号做5层小波分解得到各阶近似信号与细节信号,再次将得到的第3、4阶细节信号叠加,将叠加信号的均值作为搜索的阈值,并确定搜索起点,最后将搜索起点的横坐标映射至纯净的心电信号中,并使用逐点比对幅值的方式向后搜索,直至找到R波。使用MIT-BIH数据库中的数据进行多次实验验证,实验结果表明此算法能够准确的定位R波,检验的准确率为99.65%,召回率为99.86%。

    Abstract:

    The accuracy of locating R wave in ECG signal is the basis of other waveform location, and it is in the primary position in the study of ECG signal characteristic waveform. According to the most obvious characteristic of R wave in the whole ECG waveform, this paper proposes a method to extract R wave based on wavelet theory. First, select an appropriate method to remove the noise from the ECG signal, and then perform 5-layer wavelet decomposition on the denoised ECG signal to obtain approximate signals and detail signals of each order. The average value of the superimposed signal is used as the search threshold, and the search starting point is determined. Finally, map the abscissa of the search starting point to the pure ECG signal, and use the method of comparing the amplitude point by point to search backward, until the R wave is found. Using the data in the MIT-BIH database for multiple experimental verifications, the experimental results show that this algorithm can accurately locate the R wave, and the accuracy of the inspection is 99.65%, the recall rate is 99.86%.

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景会成,白世平,崔传金,赵欣,白英杰.心电信号降噪及R波提取技术研究[J].电子测量技术,2022,45(24):67-75

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  • 在线发布日期: 2024-03-08
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