基于聚类的心电图基线漂移去除和等电校正

Kjell Le, T. Eftestøl, K. Engan, Ø. Kleiven, S. Ørn
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引用次数: 1

摘要

基线漂移是一种低频噪声,在心电图信号中常被高通滤波器去除。然而,这可能不足以纠正信号的等电电平,存在等电偏置。等电电平用作幅度测量的参考点,建议将该点置于0 V,即等电调节。为了校正等电水平,提出了一种聚类方法来确定等电偏差,然后从信号平均模板中减去等电偏差。用平均电轴(MEA)的计算来评价等电校正。可以从锋面上的任何导联对估计MEA,不同导联对估计的低方差表明每个导联对的MEA计算是一致的。对不同的MEA计算方法进行了评价,结果的方差和其他度量都有利于所提出的等电调整信号。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Baseline Wander Removal and Isoelectric Correction in Electrocardiograms Using Clustering
Baseline wander is a low frequency noise which is often removed by a highpass filter in electrocardiogram signals. However, this might not be sufficient to correct the isoelectric level of the signal, there exist an isoelectric bias. The isoelectric level is used as a reference point for amplitude measurements, and is recommended to have this point at 0 V, i.e. isoelectric adjusted. To correct the isoelectric level a clustering method is proposed to determine the isoelectric bias, which is thereafter subtracted from a signal averaged template. Calculation of the mean electrical axis (MEA) is used to evaluate the iso-electric correction. The MEA can be estimated from any lead pairs in the frontal plane, and a low variance in the estimates over the different lead pairs would suggest that the calculation of the MEA in each lead pair are consistent. Different methods are evaluated for calculating MEA, and the variance in the results as well as other measures, favour the proposed isoelectric adjusted signals in all MEA methods.
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