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A multiresolution time-dependent entropy method for QRS complex detection

机译:QRS复杂度检测的多分辨率时变熵方法

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摘要

Electrocardiography is considered as a useful diagnostic tool for evaluating the condition of heart's health. QRS complex, which is produced by depolarization of the heart ventricles, is the main graphical deflection seen on a typical electrocardiogram tracing. Detection of the QRS complexes is the first step toward analyzing the electrocardiogram signal. In this regard, many different algorithms have been proposed so far. In the present work an algorithm based on entropy measure is proposed which uses the calculation of the time dependent entropy for QRS complex detection. The algorithm is implemented in a way that entropy of the electrocardiogram can be calculated in different temporal resolution to improve the accurate detection rate of different QRS morphologies. The MIT-BIH arrhythmia and CSE databases are selected to test the performance of the proposed algorithm. The precision and sensitivity of the proposed method for MIT-BIH database are 99.85% and 99.75%, respectively. Also the detection rate of 99.82% is achieved for CSE database. Additionally, the proposed algorithm is fast enough to be applied in real-time. (C) 2015 Elsevier Ltd. All rights reserved.
机译:心电图被认为是评估心脏健康状况的有用诊断工具。由心室去极化产生的QRS复合波是在典型心电图描记中看到的主要图形偏移。 QRS络合物的检测是分析心电图信号的第一步。在这方面,到目前为止已经提出了许多不同的算法。在目前的工作中,提出了一种基于熵测度的算法,该算法将时间相关熵的计算用于QRS复杂检测。该算法的实现方式是可以以不同的时间分辨率计算心电图的熵,以提高不同QRS形态的准确检测率。选择MIT-BIH心律失常和CSE数据库来测试所提出算法的性能。所提方法对MIT-BIH数据库的准确性和敏感性分别为99.85%和99.75%。 CSE数据库的检测率也达到了99.82%。此外,所提出的算法足够快,可以实时应用。 (C)2015 Elsevier Ltd.保留所有权利。

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