Paper Info
Title
Online and offline determination of QT and PR interval and QRS duration in electrocardiography
Abstract
Duration and dynamic changes of QT and PR intervals as well as QRS complexes of ECG measurements are well established parameters in monitoring and diagnosis of cardiac diseases. Since automated annotations show numerous advantages over manual methods, the aim was to develop an algorithm suitable for online (real time) and offline ECG analysis. In this work we present this algorithm, its verification and the development process. The algorithm detects R peaks based on the amplitude, the first derivative and local statistic characteristics of the signal. Classification is performed to distinguish premature ventricular contractions from normal heartbeats. To improve the accuracy of the subsequent detection of QRS complexes, P and T waves, templates are built for each class of heartbeats. Using a continuous integration system, the algorithm was automatically verified against PhysioNet databases and achieved a sensitivity of 98.2% and a positive predictive value of 98.7%, respectively.
Year
DOI
Venue
2012
10.1007/978-3-642-37015-1_1
ICPCA/SWS
Keywords
Field
DocType
qrs duration,continuous integration system,offline determination,development process,offline ecg analysis,ecg measurement,algorithm detects r peak,automated annotation,pr interval,physionet databases,cardiac disease,qrs complex,real time,qt interval,p wave,t wave
QT interval,Computer science,T wave,Derivative,Artificial intelligence,QRS complex,Electrocardiography,Continuous integration,PR interval,Distributed computing,Pattern recognition,Speech recognition,Online and offline
Conference
Citations 
PageRank 
References 
4
0.61
3
Authors
5
Name
Order
Citations
PageRank
Martin Bachler1354.27
Christopher Mayer26412.31
Bernhard Hametner393.74
Siegfried Wassertheurer47614.86
Andreas Holzinger52886253.75