DocumentCode :
1406142
Title :
Estimation and Modeling of QT-Interval Adaptation to Heart Rate Changes
Author :
Cabasson, Aline ; Meste, Olivier ; Vesin, Jean-Marc
Author_Institution :
Lab. of Inf., Signals & Syst. (I3S), Univ. of Nice-Sophia Antipolis, Sophia Antipolis, France
Volume :
59
Issue :
4
fYear :
2012
fDate :
4/1/2012 12:00:00 AM
Firstpage :
956
Lastpage :
965
Abstract :
This paper introduces a new method for QT-interval estimation. It consists in a batch processing mode of the improved Woody´s method. Performance of this methodology is evaluated using synthetic data. In parallel, a new model of QT-interval dynamics behavior related to heart rate changes is presented. Since two kinds of QT response have been pointed out, the main idea is to split the modeling process into two steps: 1) the modeling of the fast adaptation, which is inspired by the electrical behavior at the cellular level relative to the electrical restitution curve, and 2) the modeling of the slow adaptation, inspired by experimental works at the cellular level. Both approaches are based on a low-complexity autoregressive process whose parameters are estimated using an unbiased estimator. This new modeling of QT adaptation, combined with the presented QT-estimation process, is applied to several ECG recordings with various heart rate variability dynamics. Its potential is then illustrated on ECG recorded during rest, atrial fibrillation episodes, and exercise. Meaningful results in agreement with physiological knowledge at the cellular level are obtained.
Keywords :
autoregressive processes; electrocardiography; medical disorders; medical signal processing; physiological models; QT estimation process; QT interval adaptation estimation; QT interval adaptation modeling; QT interval dynamics behavior; QT interval estimation method; QT response; atrial fibrillation episodes; batch processing mode; cellular level electrical behavior; electrical restitution curve; exercise conditions; fast adaptation modeling; heart rate changes; improved Woody method; low complexity autoregressive process; slow adaptation modeling; synthetic data; unbiased estimator; Adaptation models; Electrocardiography; Estimation; Heart rate; Electrocardiography (ECG); QT adaptation; QT estimation; QT intervals; modeling; Algorithms; Diagnosis, Computer-Assisted; Electrocardiography; Heart Rate; Humans; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/TBME.2011.2181507
Filename :
6111455
Link To Document :
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