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使用有限创新率(FRI)在多通道心电图上进行P波和T波检测。

P and T wave detection on multichannel ECG using FRI.

作者信息

Nair Amrish, Marziliano Pina

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2014;2014:2269-73. doi: 10.1109/EMBC.2014.6944072.

Abstract

This paper proposes a new method for detecting P and T waves in multilead ECG based on the Finite Rate of Innovation(FRI) technique [8]. A simple QRS detection scheme will be presented followed by a novel P and T wave detection algorithm. The novelty here is the modelling of the P and T wave using a Gaussian kernel. Using a 2D wavelet decomposition, the approximation coefficients are windowed based on the QRS locations. The FRI method is then used to identify the Gaussian distribution present in the window which will in turn provide the locations of the P and T wave. This method was tested on more than an hour of clean and noisy data and shows good performance in the noisy case.

摘要

本文提出了一种基于有限创新率(FRI)技术[8]检测多导联心电图中P波和T波的新方法。将给出一种简单的QRS检测方案,随后是一种新颖的P波和T波检测算法。这里的新颖之处在于使用高斯核来对P波和T波进行建模。利用二维小波分解,根据QRS位置对近似系数加窗。然后使用FRI方法识别窗口中存在的高斯分布,这反过来将提供P波和T波的位置。该方法在超过一小时的干净和有噪声数据上进行了测试,并且在有噪声的情况下表现出良好的性能。

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