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首页> 外文期刊>Journal of Mechanics in Medicine and Biology >ALGORITHM FOR AUTOMATIC DETECTION OF ECG WAVES
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ALGORITHM FOR AUTOMATIC DETECTION OF ECG WAVES

机译:自动检测心电图波形的算法

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An accurate measurement of the different electrocardiogram (ECG) intervals isndependent on the accurate identification of the beginning and the end of the P, QRS,nand T waves. Available commercial systems provide a good QRS detection accuracy.nHowever, the detection of the P and T waves remains a serious challenge due to theirnwidely differing morphologies in normal and abnormal beats. In this paper, a new algorithmnfor the detection of the QRS complex as well as for P and T waves identification isnprovided. The proposed algorithm is based on different approaches and methods such asnderivations, thresholding, and surface indicator. The proposed algorithm is tested andnevaluated on ECG signals from the universal MIT-BIH database. It shows a good abilitynto detect P, QRS, and T waves for different cases of ECG signal even in very noisy conditions.nThe obtained QRS, sensitivity and positive predictivity are respectively 95.39%nand 98.19%. The developed algorithm is also able to separate the overlapping P and Tnwaves
机译:对不同心电图(ECG)间隔的准确测量取决于对P波,QRS波,n波和T波的开始和结束的准确识别。可用的商用系统提供了良好的QRS检测精度。然而,由于P和T波在正常和异常搏动中的形态差异很大,因此检测仍然是一个严峻的挑战。本文提出了一种新的QRS波群检测以及P波和T波识别算法。所提出的算法是基于不同的方法和方法的,例如n导数,阈值和表面指示器。对来自通用MIT-BIH数据库的ECG信号进行了测试和评估。即使在非常嘈杂的条件下,它也显示出对不同ECG信号检测P,QRS和T波的良好能力。n获得的QRS,灵敏度和阳性预测率分别为95.39%n和98.19%。所开发的算法还能够分离重叠的P波和Tn波

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