A moving average based filtering system with its application to real-time QRS detection
A moving average based filtering system with its application to real-time QRS detection
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基于移动平均的滤波系统及其在实时QRS检测中的应用
DOI：
10.1109/cic.2003.1291223
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发表时间：
2003
期刊：
影响因子：
--
通讯作者：
S.W. Chen
中科院分区：
文献类型：
--
作者：
H. Chen;S.W. Chen
本文提出了一种基于简单移动平均滤波器设计的新型实时 QRS 检测算法。所提出的算法不需要冗余的预处理步骤，因此允许其实现简单的架构以及较低的计算成本。算法性能根据 MIT-BIH 心律失常数据库的子集进行了验证。因此，数值结果表明，所提出的算法正确地检测到了标准心电图数据库中 99.5% 以上的 QRS 复合波，这意味着它可以被视为 QRS 检测算法的简单可靠的候选者。
This paper presents a novel real-time QRS detection algorithm designed based on a simple moving average filter. The proposed algorithm demands no redundant preprocessing step, thus allowing a simple architecture for its implementation as well as low computational cost. Algorithm performance was validated against a subset of the MIT-BIH arrhythmia database. Consequently, numerical results showed that the proposed algorithm correctly detected over 99.5% of the QRS complexes from the standard ECG database, implying it may be considered as a simple and reliable candidate of QRS detection algorithms.