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首页> 外文会议>2010 3rd International Conference on Biomedical Engineering and Informatics >De-noisng of ECG based on EMD improved-thresholding and mathematical morphology operation
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De-noisng of ECG based on EMD improved-thresholding and mathematical morphology operation

机译：基于EMD改进阈值和数学形态学运算的ECG去噪

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Suppressing the noise of ECG effectively is a prerequisite for the intelligent analysis of ECG. This paper proposed a new ECG denoising method which combined empirical mode decomposition (EMD) with mathematical morphology operation (MMO). First of all, apply the EMD to decompose the noisy ECG into a series of intrinsic mode functions (IMF); then, estimate the intensity of noise for each IMF by MMO, and do improved-thresholding on each IMF based on 3s criterion; finally, reconstruct the signal with the processed IMF to get the de-noised ECG. The experimental results show that the proposed method has better performance than that of single method.
机译：有效抑制心电图噪声是进行心电图智能分析的前提。本文提出了一种将经验模态分解（EMD）与数学形态学运算（MMO）相结合的新型ECG去噪方法。首先，应用EMD将嘈杂的ECG分解为一系列固有模式函数（IMF）;然后，通过MMO估计每个IMF的噪声强度，并基于3s准则对每个IMF进行改进的阈值处理;最后，使用经过处理的IMF重建信号以获得降噪后的ECG。实验结果表明，该方法具有比单一方法更好的性能。

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