Averaging of Time-Warped ECG Signals for QT Interval Measurement

2016 ◽  
pp. 291-302 ◽  
Author(s):  
Tomasz Moroń
Keyword(s):  
Qt Interval ◽  
Interval Measurement ◽  
Ecg Signals

scholarly journals A hybrid wavelet and time plane based method for QT interval measurement in ECG signals

2009 ◽  
Vol 02 (04) ◽  
pp. 280-286 ◽  
Author(s):  
Swanirbhar Majumder ◽  
Saurabh Pal ◽  
Sidhartha Dhar ◽  
Abhijit Sinha ◽  
Abhijit Roy
Keyword(s):  
Qt Interval ◽  
Interval Measurement ◽  
Ecg Signals

Optimizing QT Interval Measurement for the Preparticipation Screening of Young Athletes

2016 ◽  
Vol 48 (9) ◽  
pp. 1745-1750 ◽  
Author(s):  
DAVID PICKHAM ◽  
DAVID HSU ◽  
MUHAMMAD SOOFI ◽  
JANA M. GOLDBERG ◽  
DIVAKAR SAINI ◽  
...  
Keyword(s):  
Qt Interval ◽  
Young Athletes ◽  
Interval Measurement ◽  
Preparticipation Screening

scholarly journals ECG Multilead QT Interval Estimation Using Support Vector Machines

2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Jhosmary Cuadros ◽  
Nelson Dugarte ◽  
Sara Wong ◽  
Pablo Vanegas ◽  
Villie Morocho ◽  
...  
Keyword(s):  
Support Vector Machines ◽  
Interval Estimation ◽  
Software Tool ◽  
Detection Algorithm ◽  
Support Vector ◽  
Interval Measurement ◽  
Ecg Signals ◽  
Percent Error ◽  
Vector Machines ◽  
Measurement Algorithm

This work reports a multilead QT interval measurement algorithm for a high-resolution digital electrocardiograph. The software enables off-line ECG processing including QRS detection as well as an accurate multilead QT interval detection algorithm using support vector machines (SVMs). Two fiducial points (Qini and Tend) are estimated using the SVM algorithm on each incoming beat. This enables segmentation of the current beat for obtaining the P, QRS, and T waves. The QT interval is estimated by updating the QT interval on each lead, considering shifting techniques with respect to a valid beat template. The validation of the QT interval measurement algorithm is attained using the Physionet PTB diagnostic ECG database showing a percent error of 2.60±2.25 msec with respect to the database annotations. The usefulness of this software tool is also tested by considering the analysis of the ECG signals for a group of 60 patients acquired using our digital electrocardiograph. In this case, the validation is performed by comparing the estimated QT interval with respect to the estimation obtained using the Cardiosoft software providing a percent error of 2.49±1.99 msec.

QT interval measurement in the dog: Chest leads versus limb leads

2004 ◽  
Vol 50 (3) ◽  
pp. 201-207 ◽  
Author(s):  
Kamil Nahas ◽  
Brigitte Geffray
Keyword(s):  
Qt Interval ◽  
Interval Measurement

scholarly journals Choice of an alternative lead for QT interval measurement in serial ECGs when Lead II is not suitable for analysis

2012 ◽  
Vol 64 (6) ◽  
pp. 535-540 ◽  
Author(s):  
Vaibhav Salvi ◽  
Dilip R. Karnad ◽  
Vaibhav Kerkar ◽  
Gopi Krishna Panicker ◽  
Deepak Manohar ◽  
...  
Keyword(s):  
Qt Interval ◽  
Interval Measurement
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