The Reproducibility of Global Electrical Heterogeneity ECG Measurements

Erick A. Perez-Aldav, Christopher Hamilton, Annabel Li-Pershing, Jose M. Monroy-Trujillo, Michelle Estrella, Stephen M. Sozio, Bernard Jaar, Rulan Parekh, Larisa Tereshchenko

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations


Background: Global electrical heterogeneity (GEH) is a useful predictor of adverse clinical outcomes. However, reproducibility of GEH measurements on 10-second routine clinical ECG is unknown. Methods: Data of the prospective cohort study of incident hemodialysis patients (n=253; mean age 54.6± 13.5y; 56% male; 79% African American) were analysed. Two random 10-second segments of 5-minute ECG recording in sinus rhythm were compared. GEH was measured as spatial QRS-T angle, spatial ventricular gradient (SVG) magnitude and direction (azimuth and elevation), and a scalar value of SVG measured by (1) sum absolute QRST integral (SAI QRST), and (2) QT integral on vector magnitude signal (iVMQT). Bland-Altman analysis was used to calculate agreement. Results: For all studied vectorcardiographic metrics, agreement was substantial (Lin's concordance coefficient >0.98), and precision was perfect (>99.99%). 95% limits of agreement were ± 14 for spatial QRS-T angle, ± 13° for SVG azimuth ± 4° for SVG elevation, ± 14 mVms for SVG magnitude, and ± 17 mVms for SAI QRST. SAI QRST and iVMQT were in substantial agreement with each other. Conclusion: Reproducibility of a 10-second automated GEH ECG measurements was substantial, and precision was perfect.

Original languageEnglish (US)
Title of host publicationComputing in Cardiology Conference, CinC 2018
PublisherIEEE Computer Society
ISBN (Electronic)9781728109589
StatePublished - Sep 2018
Event45th Computing in Cardiology Conference, CinC 2018 - Maastricht, Netherlands
Duration: Sep 23 2018Sep 26 2018

Publication series

NameComputing in Cardiology
ISSN (Print)2325-8861
ISSN (Electronic)2325-887X


Conference45th Computing in Cardiology Conference, CinC 2018

ASJC Scopus subject areas

  • General Computer Science
  • Cardiology and Cardiovascular Medicine


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