Delineation of the complex QRS and the T-end using wavelet transform and surface indicator

Dib N, Benali R, Hadj Slimane, Z. Bereksi-Reguig
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引用次数: 11

Abstract

In this paper, a new algorithm for ECG waves segmentation is described. The algorithm is based on the wavelet transform for the complex QRS delineation and a surface indicator for the detection of the T-end waves. The described algorithm was evaluated using ECG signals from the universal database MIT BIH. A sensitivity of 99.35% and a positive predictivity of 99.05% are reached. Those obtained results show the good performances of this new algorithm.
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利用小波变换和表面指示器对复合QRS和t端进行圈定
本文提出了一种新的心电波分割算法。该算法是基于小波变换的复杂QRS圈定和表面指标的t端波检测。所描述的算法使用来自通用数据库MIT BIH的心电信号进行评估。灵敏度为99.35%,阳性预测率为99.05%。结果表明,该算法具有良好的性能。
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