心电信号去噪技术综述

Feng-jun Shi
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引用次数: 0

摘要

针对现有心电信号去噪方法的不足,本文探讨了三种改进方法。第一种方法是基于QRS特征波的本征模态函数(IMF)分量的经验识别和对心电信号识别不准确的重构,利用EMD和IMF分量的统计特性对心电信号进行降噪。第二种方法是结合变分模态分解和小波阈值法对心电信号进行去噪处理。第三种方法是针对小波阈值法的不足,提出一种基于改进小波阈值法的去噪算法——ceemdan。这三种方案都有评价指标和标准,并经过测试,证明在一定程度上比传统方法有很大的改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A review of noise removal techniques in ECG signals
In this paper, three improved methods are explored to address the shortcomings of existing ECG signal denoising methods. The first method is based on the empirical identification of the intrinsic mode function (IMF) component of the QRS eigenwave and the reconstruction of the inaccurate identification of the ECG signal, using the statistical properties of the EMD and IMF components to denoise the ECG signal. The second method is out to use a combination of variational modal decomposition and wavelet thresholding to denoise the ECG signal for inotropic interference. The third method is to propose a denoising algorithm based on improved wavelet thresholding-CEEMDAN to address the shortcomings of the wavelet thresholding method. All three schemes have evaluation metrics and criteria and have been tested and proven to be substantially better than traditional methods to a certain extent.
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