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A Robust Approach for Detecting QRS Complexes of Electrocardiogram Signal with Different Morphologies

机译:一种鲁棒方法,用于检测不同形态的心电图信号QRS复合物

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In this paper a robust approach for detecting QRS complexes and computing related R-R intervals of ECG signals named (RDQR) has been proposed. Tt reliably recognizes QRS complexes based on the deflection occurred between R & S waves as a large positive and negative amplitude differences in comparison with respect to other ECG signal (P and T) waves. The proposed detection approach applies the new direct algorithm applied on the entire ECG itself without any additional transform like (wavelet, cosine, Walsh transform, etc.). According to the strategy based on positive and negative deflection it overcomes the problem of QRS direction positive (upright) or negative (inverted). Three different types of ECG online database with duration of 10 sec (MIT-BTH Arrhythmia, ST Change Database and Normal Sinus Rhythm) are used to validate the detection performance. The results are demonstrated that the proposed detection approach achieved (100%) accuracy for QRS detection also very high accuracy in evaluating related R-R intervals.
机译:本文已经提出了一种用于检测QRS复合物的鲁棒方法以及所分享的(RDQR)的ECG信号的计算相关R-R间隔。 TT可靠地识别基于R&S波之间发生的偏转,与其他ECG信号(P和T)波相比,R&S波之间发生的偏转是大的正极和负幅度差异。所提出的检测方法适用于整个ECG本身上应用的新直接算法,没有任何额外的变换,如(小波,余弦,沃尔什变换等)。根据基于正和负偏转的策略,它克服了QRS方向正(直立)或负(倒置)的问题。三种不同类型的ECG在线数据库,持续时间为10秒(MIT-BTH心律失常,ST更改数据库和普通窦律)来验证检测性能。结果表明,QRS检测的QRS检测的准确性(100%)精度在评估相关的R-R间隔时也非常高。

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