Literature DB >> 9535497

Algorithms for computerized QT analysis.

Q Xue1, S Reddy.   

Abstract

Several methods for measurement of the offset, peak, and morphology of the T wave in multilead ECGs are reviewed and compared. The T wave offset is the most important and also the most difficult measurement for analysis of QT interval dispersion. Measurement methods compared here include (1) the point at which the T wave intersects the isoelectric line plus a threshold; (2) the point at which the derivative of T wave intersects the isoelectric line plus a threshold; (3) the intersection of the maximum slope of the T wave and the isoelectric line; (4) the intersection of a line fitted by least squares to the maximum slope of the T wave and an isoelectric line (LSI); and (5) the point at which the T wave area reaches 90% of the entire T wave area (TA). The reproducibility tests show that the LSI method has the best reproducibility of all the algorithms examined. Although the T wave peak is better defined than the T wave offset, it is not simple to find the right peak when there are multiple T wave peaks and when the T wave is flat and/or noisy. Methods to find T wave patterns with multiple peaks and to locate the point at which the T wave is flat and noisy are therefore reviewed here. Finally, the principal component analysis-based T wave complexity measurement and its relation to other QT interval dispersion measurements are discussed.

Mesh:

Year:  1998        PMID: 9535497     DOI: 10.1016/s0022-0736(98)80072-1

Source DB:  PubMed          Journal:  J Electrocardiol        ISSN: 0022-0736            Impact factor:   1.438


  22 in total

1.  Age, gender, and autonomic tone effects on surface electrocardiographic indices of ventricular repolarization.

Authors:  T Taneja; J Larsen; J Goldberger; A Kadish
Journal:  Ann Noninvasive Electrocardiol       Date:  2001-10       Impact factor: 1.468

2.  T-wave morphology parameters based on principal component analysis reproducibility and dependence on T-offset position.

Authors:  Fabrice Extramiana; Abdeddayem Haggui; Pierre Maison-Blanche; Rémi Dubois; Seiji Takatsuki; Philippe Beaufils; Antoine Leenhardt
Journal:  Ann Noninvasive Electrocardiol       Date:  2007-10       Impact factor: 1.468

3.  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

4.  Sodium channel blockers enhance the temporal QT interval variability in the right precordial leads in Brugada syndrome.

Authors:  Tetsuzou Kanemori; Hiroki Shimizu; Katsumi Oka; Yoshio Furukawa; Kenji Hiromoto; Takanao Mine; Tohru Masuyama; Mitsumasa Ohyanagi
Journal:  Ann Noninvasive Electrocardiol       Date:  2008-01       Impact factor: 1.468

5.  Automated QT analysis that learns from cardiologist annotations.

Authors:  Iain Guy David Strachan; Nicholas Peter Hughes; Mustafa Hashim Poonawala; Jay W Mason; Lionel Tarassenko
Journal:  Ann Noninvasive Electrocardiol       Date:  2009-01       Impact factor: 1.468

6.  ECG evaluation of ventricular properties: the importance of cardiac cycle length.

Authors:  Fabrice Extramiana; Antoine Leenhardt; Pierre Maison-Blanche
Journal:  Ann Noninvasive Electrocardiol       Date:  2009-01       Impact factor: 1.468

Review 7.  Evaluation of drug-induced QT interval prolongation: implications for drug approval and labelling.

Authors:  M Malik; A J Camm
Journal:  Drug Saf       Date:  2001       Impact factor: 5.606

8.  Increased T wave complexity can indicate subclinical myocardial ischemia in asymptomatic adults.

Authors:  Salah S Al-Zaiti; Kristen N Runco; Mary G Carey
Journal:  J Electrocardiol       Date:  2011-09-14       Impact factor: 1.438

9.  The relation of QT dispersion and localized QT difference to coronary pathology in a population with unstable coronary artery disease.

Authors:  Milos Kesek; Anders Englund; Tomas Jernberg; Bo Lagerqvist; Bertil Lindahl
Journal:  Ann Noninvasive Electrocardiol       Date:  2003-01       Impact factor: 1.468

10.  Greater insulin resistance indicates decreased diurnal variation in the QT interval in patients with type 2 diabetes.

Authors:  Kotoko Tanaka; Kenji Yodogawa; Takuya Ono; Kazuo Yana; Masaaki Miyamoto; Hirotsugu Atarashi; Takao Kato; Kyoichi Mizuno
Journal:  Heart Vessels       Date:  2013-05-17       Impact factor: 2.037

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