The objective of this paper is to develop an adaptive denoising algorithm for the reduction of powerline interference (PLI) in electrocardiogram (ECG) recording. The problem of mode mixing and inability to deal with non-stationary characteristics have the major drawbacks posed by existing PLI removal techniques. The technique used in the proposed work has been combined with the concept of synchrosqueezing transform with an adaptive filter to overcome such limitations. The synchrosqueezing transform has facilitated as a mode decomposition tool to disintegrate the signal into a set of intrinsic mode functions and then applying adaptive filter on decomposition results to estimate PLI so as to recover noise free ECG. The performance assessment of the proposed techniques have been carried out with several established ECG database available in physio net and its adaptability to powerline frequency drift has also been studied. A comparative analysis has been conducted to validate the proposed techniques. Experimental results have suggested that the proposed SST based PLI reduction approaches provide better denoising effect than state of the art methods.

中文翻译：

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减少ECG记录中电力线干扰的自适应降噪方法

本文的目的是开发一种自适应降噪算法，以减少心电图（ECG）记录中的电力线干扰（PLI）。模式混合的问题和无法处理非平稳特性的问题具有现有PLI去除技术带来的主要缺点。在拟议工作中使用的技术已与采用自适应滤波器的同步压缩变换概念相结合，以克服此类限制。同步压缩变换已成为一种模式分解工具，可以将信号分解为一组固有模式函数，然后对分解结果应用自适应滤波器以估计PLI，以恢复无噪声的ECG。已经利用几个可在物理网络中建立的ECG数据库对提出的技术进行了性能评估，并且还研究了其对电力线频率漂移的适应性。已经进行了比较分析以验证所提出的技术。实验结果表明，与基于现有技术的方法相比，基于SST的PLI减少方法具有更好的降噪效果。