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首页> 外文期刊>Circuits, systems, and signal processing >Automatic Detection of the R Peaks in Single-Lead ECG Signal
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Automatic Detection of the R Peaks in Single-Lead ECG Signal

机译：自动检测单导ECG信号中的R峰

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摘要

The accurate delineation of R peaks in an ElectroCardioGram (ECG) is required for analysis and diagnosis of various cardiac abnormalities. Detection of the R peak is a challenging task due to the presence of various artifacts and varying morphology of the ECG signal in inter- and intrasubject. In this paper, an effective and novel algorithm for the accurate detection of R peaks in the single-lead ECG signal is proposed. The QRS complex is enhanced by removing P, T waves and other artifacts using combination of wavelet transform, derivatives and Hilbert transform. The enhanced QRS complex is detected by adaptive thresholding. This method is robust against inter- and intrasubject variations of the ECG signal morphology and also provides high degree of accuracy for very noisy signals. The algorithm is tested on all the signals of MIT-BIH arrhythmia Database, QT database and noise stress database taken from physionet.org (Massachusetts Institute of Technology, Biomedical Engineering Center, Cambridge, MA, 1992. www.physionet.org/physiobank/databse/html/mitdbdir/mitdbdir.htm). The performance of the algorithm is confirmed by sensitivity of 99.9%, positive predictivity of 99.9% and detection accuracy of 99.8% for R peaks detection.
机译：在分析和诊断各种心脏异常时，需要准确描绘ElectroCardioGram（ECG）中的R峰。由于受试者之间和受试者内部存在各种伪影和ECG信号形态的变化，因此检测R峰是一项艰巨的任务。本文提出了一种有效且新颖的算法，用于准确检测单导联心电信号中的R峰。通过结合使用小波变换，导数和希尔伯特变换来消除P，T波和其他伪像，可以增强QRS复杂度。通过自适应阈值检测增强的QRS复杂度。该方法对于受试者之间和受试者内部心电图信号形态的变化是鲁棒的，并且还为非常嘈杂的信号提供了高度的准确性。该算法已在physionet.org（麻萨诸塞州理工学院，生物医学工程中心，麻萨诸塞州剑桥市，1992年，麻省理工学院，MIT-BIH心律失常数据库，QT数据库和噪声压力数据库）的所有信号上进行了测试。 databse / html / mitdbdir / mitdbdir.htm）。 R峰检测的灵敏度为99.9％，阳性预测率为99.9％和检测准确度为99.8％证实了该算法的性能。

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