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Wistar大鼠实验模型中的心电图描绘

Electrocardiogram Delineation in a Wistar Rat Experimental Model.

作者信息

Arini Pedro David, Liberczuk Sergio, Mendieta Javier Gustavo, Santa María Martín, Bertrán Guillermo Claudio

机构信息

Instituto Argentino de Matemática "Alberto P. Calderón", CONICET, Buenos Aires, Argentina.

Instituto de Ingeniería Biomédica, Universidad de Buenos Aires, Buenos Aires, Argentina.

出版信息

Comput Math Methods Med. 2018 Feb 8;2018:2185378. doi: 10.1155/2018/2185378. eCollection 2018.

Abstract

BACKGROUND AND OBJECTIVES

The extensive use of electrocardiogram (ECG) recordings during experimental protocols using small rodents requires an automatic delineation technique in the ECG with high performance. It has been shown that the wavelet transform (WT) based ECG delineator is a suitable tool to delineate electrocardiographic waveforms. The aim of this work is to implement and evaluate the ECG waves delineation in Wistar rats applying WT. We also describe the ECG signal of the Wistar rats giving the characteristics of its spectrum among other useful information.

METHODS

We evaluated a delineator based on WT in a Wistar rat electrocardiograms database which was annotated manually by experienced observers.

RESULTS

The delineation showed an "overall performance" such as sensitivity and a positive predictive value of 99.2% and 83.9% for P-wave, 100% and 99.9% for QRS complex, and 100% and 99.8% for T-wave, respectively. We also compared temporal analysis based ECG delineator with the WT based ECG delineator in RR interval, QRS duration, QT interval, and T-wave peak-to-end duration. The results showed that WT outperforms the temporal delineation technique in all parameters analyzed.

CONCLUSIONS

Finally, we propose a WT based ECG delineator as a methodology to implement in a wide diversity of experimental ECG analyses using Wistar rats.

摘要

背景与目的

在使用小型啮齿动物的实验方案中广泛使用心电图(ECG)记录,需要一种高性能的心电图自动描绘技术。已经表明,基于小波变换(WT)的心电图描绘器是描绘心电图波形的合适工具。这项工作的目的是应用WT实现并评估Wistar大鼠的心电图波形描绘。我们还描述了Wistar大鼠的心电图信号,并给出了其频谱特征等其他有用信息。

方法

我们在一个由经验丰富的观察者手动标注的Wistar大鼠心电图数据库中评估了一种基于WT的描绘器。

结果

描绘显示出“总体性能”,例如P波的敏感性和阳性预测值分别为99.2%和83.9%,QRS复合波为100%和99.9%,T波为100%和99.8%。我们还在RR间期、QRS时限、QT间期和T波峰至终点时限方面,将基于时间分析的心电图描绘器与基于WT的心电图描绘器进行了比较。结果表明,在所有分析参数中,WT均优于时间描绘技术。

结论

最后,我们提出一种基于WT的心电图描绘器,作为一种在使用Wistar大鼠的各种实验性心电图分析中实施的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/405c/5822908/c0e94347a05e/CMMM2018-2185378.001.jpg

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