Literature DB >> 12892363

Evaluation of electrocardiogram T-wave dispersion measurement methods.

K Lund1, B Lund, C Brohet, H Nygaard.   

Abstract

Methods for measuring the T-wave dispersion are difficult to improve, because the exact result is unknown. This study describes a flexible and cheap method for analysing the measurement problems. The analysis consisted of measuring the T-wave dispersion of electrocardiograms and vector loops with simulated dispersion. The vector loops were simulated using two primary T-waves that were identical, quasi-monophasic and located in orthogonal leads. The dispersion was the time delay between the primary T-waves. The electrocardiograms were projections of the vector loops on approximations to the orientations of leads in the standard 12-lead ECG. This simulation model was validated by matching simulated ECGs and vector loops with measured ECGs and vector loops drawn from a population of 247 patients with acute myocardial infarction. The analysis of the measurement problems was demonstrated by measuring an approximation to the classical QT-dispersion in ECGs with simulated dispersion in the interval 0-100 ms, in steps of 2 ms. This showed that the QT-dispersion was unable to measure the simulated dispersion accurately in the clinically relevant interval of 50-100 ms. The results indicated that the low prognostic accuracy of the QT-dispersion could be due to an inaccurate measurement method.

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Year:  2003        PMID: 12892363     DOI: 10.1007/bf02348083

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  10 in total

1.  QT dispersion as an attribute of T-loop morphology.

Authors:  J A Kors; G van Herpen; J H van Bemmel
Journal:  Circulation       Date:  1999-03-23       Impact factor: 29.690

2.  Estimates of repolarization dispersion from electrocardiographic measurements.

Authors:  M S Fuller; G Sándor; B Punske; B Taccardi; R S MacLeod; P R Ershler; L S Green; R L Lux
Journal:  Circulation       Date:  2000-08-08       Impact factor: 29.690

3.  Measuring QT dispersion: man versus machine.

Authors:  A Murray; N B McLaughlin; R W Campbell
Journal:  Heart       Date:  1997-06       Impact factor: 5.994

Review 4.  Measurement, interpretation and clinical potential of QT dispersion.

Authors:  M Malik; V N Batchvarov
Journal:  J Am Coll Cardiol       Date:  2000-11-15       Impact factor: 24.094

5.  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

6.  The prognostic accuracy of different QT interval measures.

Authors:  Kaspar Lund; Juha S Perkiömäki; Christian Brohet; Hanne Elming; Mohammed Zaïdi; Christian Torp-Pedersen; Heikki V Huikuri; Hans Nygaard; Anders Kirstein Pedersen
Journal:  Ann Noninvasive Electrocardiol       Date:  2002-01       Impact factor: 1.468

7.  Predictive power of increased QT dispersion in ventricular extrasystoles and in sinus beats for risk stratification after myocardial infarction.

Authors:  A Dabrowski; E Kramarz; R Piotrowicz; L Kubik
Journal:  Circulation       Date:  2000-04-11       Impact factor: 29.690

8.  Bias of QT dispersion.

Authors:  K Lund; H Arildsen; J S Perkiömäki; H V Huikuri; O May; A K Pedersen
Journal:  Ann Noninvasive Electrocardiol       Date:  2001-01       Impact factor: 1.468

9.  Characteristics and possible mechanism of ventricular arrhythmia dependent on the dispersion of action potential durations.

Authors:  C S Kuo; K Munakata; C P Reddy; B Surawicz
Journal:  Circulation       Date:  1983-06       Impact factor: 29.690

10.  Influence of lead selection and population on automated measurement of QT dispersion.

Authors:  P W Macfarlane; S C McLaughlin; J C Rodger
Journal:  Circulation       Date:  1998-11-17       Impact factor: 29.690

  10 in total

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