Literature DB >> 7662463

Comparison of automatic QT measurement techniques in the normal 12 lead electrocardiogram.

N B McLaughlin1, R W Campbell, A Murray.   

Abstract

OBJECTIVE: To undertake a quantitative assessment of different automatic QT measurement techniques and investigate the influence of electrocardiogram filtering and algorithm parameters.
DESIGN: Four methods for identifying the end of the T wave were compared: (1) threshold crossing of the T wave (TH); (2) threshold crossing of the differential of the T wave (DTH); (3) intercept of an isoelectric level and the maximum T wave slope (SI); and (4) intercept of an isoelectric level and the line passing through the peak and the point of maximum slope of the T wave (PSI). Automatic QT measurements were made by all techniques following different electrocardiogram filtering and, when appropriate, with four different isoelectric levels and with three different threshold levels.
SUBJECTS: 12 simultaneous standard electrocardiogram leads, containing at least two electrocardiogram complexes, were recorded from 25 healthy volunteers relaxing in a semirecumbent position. MAIN OUTCOME MEASURE: Mean and standard deviation of differences between reference and automatic QT measurements were compared for the four techniques.
RESULTS: The mean automatic QT measurements varied by up to 62 ms, which was greater than has been found between manual measurements by experienced clinicians. Technique TH was particularly poor. The other techniques produced consistent results for most electrocardiogram filter, isoelectric level, and threshold level setting; but technique SI underestimated QT relative to the other techniques.
CONCLUSION: Different QT measurement techniques produced results which were influenced, to varying degrees, by filtering and technique variables. This is relevant for the inter-comparison of studies using different techniques. Technique TH, a common approach, is not recommended.

Mesh:

Year:  1995        PMID: 7662463      PMCID: PMC483954          DOI: 10.1136/hrt.74.1.84

Source DB:  PubMed          Journal:  Br Heart J        ISSN: 0007-0769


  12 in total

1.  New algorithm for QT interval analysis in 24-hour Holter ECG: performance and applications.

Authors:  P Laguna; N V Thakor; P Caminal; R Jané; H R Yoon; A Bayés de Luna; V Marti; J Guindo
Journal:  Med Biol Eng Comput       Date:  1990-01       Impact factor: 2.602

2.  Ambulatory sudden cardiac death: mechanisms of production of fatal arrhythmia on the basis of data from 157 cases.

Authors:  A Bayés de Luna; P Coumel; J F Leclercq
Journal:  Am Heart J       Date:  1989-01       Impact factor: 4.749

3.  Prolonged repolarization: a historical perspective.

Authors:  J Somberg; D Tepper; J Wynn
Journal:  Am Heart J       Date:  1985-02       Impact factor: 4.749

4.  Errors in manual measurement of QT intervals.

Authors:  A Murray; N B McLaughlin; J P Bourke; J C Doig; S S Furniss; R W Campbell
Journal:  Br Heart J       Date:  1994-04

5.  QT interval prolongation as predictor of sudden death in patients with myocardial infarction.

Authors:  P J Schwartz; S Wolf
Journal:  Circulation       Date:  1978-06       Impact factor: 29.690

6.  Electrocardiographic quantitation of ventricular repolarization.

Authors:  M Merri; J Benhorin; M Alberti; E Locati; A J Moss
Journal:  Circulation       Date:  1989-11       Impact factor: 29.690

7.  Errors in the visual determination of corrected QT (QTc) interval during acute myocardial infarction.

Authors:  S Ahnve
Journal:  J Am Coll Cardiol       Date:  1985-03       Impact factor: 24.094

8.  Spatial variation of QT intervals in normal persons and patients with acute myocardial infarction.

Authors:  D M Mirvis
Journal:  J Am Coll Cardiol       Date:  1985-03       Impact factor: 24.094

9.  Behavior of the terminal T wave during exercise in normal subjects, patients with symptomatic coronary artery disease and apparently healthy subjects with abnormal ST segment depression.

Authors:  J O'Donnell; D E Lovelace; S B Knoebel; P L McHenry
Journal:  J Am Coll Cardiol       Date:  1985-01       Impact factor: 24.094

10.  QT dispersion: an indication of arrhythmia risk in patients with long QT intervals.

Authors:  C P Day; J M McComb; R W Campbell
Journal:  Br Heart J       Date:  1990-06
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  18 in total

1.  Automatic detection of the electrocardiogram T-wave end.

Authors:  I K Daskalov; I I Christov
Journal:  Med Biol Eng Comput       Date:  1999-05       Impact factor: 2.602

2.  Evaluation of serial QT dispersion in patients with first non-Q-wave myocardial infarction: relation to the severity of underlying coronary artery disease.

Authors:  T G Lyras; V A Papapanagiotou; M G Foukarakis; F K Panou; N D Skampas; J A Lakoumentas; C V Priftis; A A Zacharoulis
Journal:  Clin Cardiol       Date:  2003-04       Impact factor: 2.882

3.  Computer-based analysis of dynamic QT changes: toward high precision and individual rate correction.

Authors:  Corina Dota; Bo Skallefell; Nils Edvardsson; Gunnar Fager
Journal:  Ann Noninvasive Electrocardiol       Date:  2002-10       Impact factor: 1.468

4.  Assessment of the stability of the individual-based correction of QT interval for heart rate.

Authors:  Jean-Philippe Couderc; Xia Xiaojuan; Wojciech Zareba; Arthur J Moss
Journal:  Ann Noninvasive Electrocardiol       Date:  2005-01       Impact factor: 1.468

5.  Magnitude, mechanism, and reproducibility of QT interval differences between superimposed global and individual lead ECG complexes.

Authors:  Paul Kligfield; Benoit Tyl; Martine Maarek; Pierre Maison-Blanche
Journal:  Ann Noninvasive Electrocardiol       Date:  2007-04       Impact factor: 1.468

6.  Measurement error as a source of QT dispersion: a computerised analysis.

Authors:  J A Kors; G van Herpen
Journal:  Heart       Date:  1998-11       Impact factor: 5.994

7.  Automated versus manual measurement of the QT interval and corrected QT interval.

Authors:  Yuji Kasamaki; Yukio Ozawa; Masakatsu Ohta; Akira Sezai; Takashi Yamaki; Mutsuo Kaneko; Ichiro Watanabe; Atsushi Hirayama; Tomohiro Nakayama
Journal:  Ann Noninvasive Electrocardiol       Date:  2011-04       Impact factor: 1.468

8.  Fetal QT Interval Estimation Using Sequential Hypothesis Testing.

Authors:  Suhong Yu; Barry D Van Veen; William J Lutter; Ronald T Wakai
Journal:  IEEE Trans Biomed Eng       Date:  2017-11       Impact factor: 4.538

9.  Torsades de pointes during complete atrioventricular block: Genetic factors and electrocardiogram correlates.

Authors:  Rajesh N Subbiah; Michael H Gollob; Lorne J Gula; Robert W Davies; Peter Leong-Sit; Allan C Skanes; Raymond Yee; George J Klein; Andrew D Krahn
Journal:  Can J Cardiol       Date:  2010-04       Impact factor: 5.223

10.  Light phase-restricted feeding slows basal heart rate to exaggerate the type-3 long QT syndrome phenotype in mice.

Authors:  Elizabeth A Schroder; Don E Burgess; Cody L Manning; Yihua Zhao; Arthur J Moss; Abhijit Patwardhan; Claude S Elayi; Karyn A Esser; Brian P Delisle
Journal:  Am J Physiol Heart Circ Physiol       Date:  2014-10-24       Impact factor: 4.733

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