Literature DB >> 3838268

Assessment of the performance of electrocardiographic computer programs with the use of a reference data base.

J L Willems, P Arnaud, J H van Bemmel, P J Bourdillon, C Brohet, S Dalla Volta, J D Andersen, R Degani, B Denis, M Demeester.   

Abstract

To allow an exchange of measurements and criteria between different electrocardiographic (ECG) computer programs, an international cooperative project has been initiated aimed at standardization of computer-derived ECG measurements. To this end an ECG reference library of 250 ECGs with selected abnormalities was established and a comprehensive reviewing scheme was devised for the visual determination of the onsets and offsets of P, QRS, and T waves. This task was performed by a group of cardiologists on highly amplified, selected complexes from the library of ECGs. With use of a modified Delphi approach, individual outlying point estimates were eliminated in four successive rounds. In this way final referee estimates were obtained that proved to be highly reproducible and precise. This reference data base was used to study measurement results obtained with nine vectorcardiographic and 10 standard 12-lead ECG analysis programs. The medians of program determinations of P, QRS, and T wave onsets and offsets were close to the final referee estimates. However, an important variability could be demonstrated between measurements from individual programs and mean differences from the referee estimates amounted to 10 msec for QRS for certain programs. In addition, the variances of all programs with respect to the referee point estimates were variable. Some programs proved to be more accurate and stable when the data from high- vs low-noise recordings were analyzed. Average Q wave durations calculated from ECGs for which programs agreed on the presence of a Q or QS wave differed by more than 8 msec in several program-to-program comparisons. Such differences may have important consequences with respect to diagnostic performance. Various factors that might explain these differences have been determined. The present study demonstrates that to allow an exchange of results and diagnostic criteria between different ECG computer programs, definitions, minimum wave requirements, and measurement procedures urgently need to be standardized.

Mesh:

Year:  1985        PMID: 3838268     DOI: 10.1161/01.cir.71.3.523

Source DB:  PubMed          Journal:  Circulation        ISSN: 0009-7322            Impact factor:   29.690


  10 in total

1.  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

2.  Modulators of normal electrocardiographic intervals identified in a large electronic medical record.

Authors:  Andrea H Ramirez; Jonathan S Schildcrout; Dana L Blakemore; Dan R Masys; Jill M Pulley; Melissa A Basford; Dan M Roden; Joshua C Denny
Journal:  Heart Rhythm       Date:  2010-10-29       Impact factor: 6.343

3.  CSE database: extended annotations and new recommendations for ECG software testing.

Authors:  Radovan Smíšek; Lucie Maršánová; Andrea Němcová; Martin Vítek; Jiří Kozumplík; Marie Nováková
Journal:  Med Biol Eng Comput       Date:  2016-12-31       Impact factor: 2.602

4.  Can a computer assisted electrocardiograph replace a cardiologist for ECG measurements?

Authors:  D Mulcahy; B Reardon; R Mulcahy; B Kavanagh; I Graham
Journal:  Ir J Med Sci       Date:  1986-12       Impact factor: 1.568

5.  Can a computer diagnosis of "normal ECG" be trusted?

Authors:  D Mulcahy; R Mulcahy; B Reardon; I Graham
Journal:  Ir J Med Sci       Date:  1986-12       Impact factor: 1.568

6.  Angiotensin I converting enzyme gene polymorphism and exercise trainability in elderly women: an electrocardiological approach.

Authors:  Takuro Tobina; Akira Kiyonaga; Yuko Akagi; Yukari Mori; Kojiro Ishii; Hitoshi Chiba; Munehiro Shindo; Hiroaki Tanaka
Journal:  J Sports Sci Med       Date:  2007-06-01       Impact factor: 2.988

7.  Methods of data collection and definitions of cardiac outcomes in the Rotterdam Study.

Authors:  Maarten J G Leening; Maryam Kavousi; Jan Heeringa; Frank J A van Rooij; Jolande Verkroost-van Heemst; Jaap W Deckers; Francesco U S Mattace-Raso; Gijsbertus Ziere; Albert Hofman; Bruno H Ch Stricker; Jacqueline C M Witteman
Journal:  Eur J Epidemiol       Date:  2012-03-03       Impact factor: 8.082

8.  P-wave duration and dispersion in patients with peripheral edema and its amelioration.

Authors:  John E Madias
Journal:  Indian Pacing Electrophysiol J       Date:  2007-01-01

9.  Dataset of manually measured QT intervals in the electrocardiogram.

Authors:  Ivaylo Christov; Ivan Dotsinsky; Iana Simova; Rada Prokopova; Elina Trendafilova; Stefan Naydenov
Journal:  Biomed Eng Online       Date:  2006-05-18       Impact factor: 2.819

10.  Automatic identification of a stable QRST complex for non-invasive evaluation of human cardiac electrophysiology.

Authors:  Gunilla Lundahl; Lennart Gransberg; Gabriel Bergqvist; Göran Bergström; Lennart Bergfeldt
Journal:  PLoS One       Date:  2020-09-17       Impact factor: 3.240

  10 in total

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