Title of article
Electrocardiogram Delineation in a Wistar Rat Experimental Model
Author/Authors
David Arini, Pedro Universidad de Buenos Aires - Buenos Aires, Argentina , Liberczuk, Sergio Universidad de Buenos Aires - Buenos Aires, Argentina , Gustavo Mendieta, Javier Universidad de Buenos Aires - Buenos Aires, Argentina , Santa María, Martín Instituto de Investigaciones Medicas “Dr. Alfredo Lanari” - Buenos Aires, Argentina , Claudio Bertrán, Guillermo Instituto de Investigaciones Medicas “Dr. Alfredo Lanari” - Buenos Aires, Argentina
Pages
10
From page
1
To page
10
Abstract
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.
Keywords
Rat , Delineation , Electrocardiogram , ECG
Journal title
Computational and Mathematical Methods in Medicine
Serial Year
2018
Full Text URL
Record number
2611228
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