Importance of the heart vector origin point definition for an ECG analysis: The Atherosclerosis Risk in Communities (ARIC) study. (January 2019)
- Record Type:
- Journal Article
- Title:
- Importance of the heart vector origin point definition for an ECG analysis: The Atherosclerosis Risk in Communities (ARIC) study. (January 2019)
- Main Title:
- Importance of the heart vector origin point definition for an ECG analysis: The Atherosclerosis Risk in Communities (ARIC) study
- Authors:
- Perez-Alday, Erick Andres
Li-Pershing, Yin
Bender, Aron
Hamilton, Christopher
Thomas, Jason A.
Johnson, Kyle
Lee, Tiffany L.
Gonzales, Ryan
Li, Aaron
Newton, Kelley
Tereshchenko, Larisa G. - Abstract:
- Abstract: Aim: Our goal was to investigate the effect of a global XYZ median beat construction and the heart vector origin point definition on predictive accuracy of ECG biomarkers of sudden cardiac death (SCD). Methods: Atherosclerosis Risk In Community study participants with analyzable digital ECGs were included (n = 15, 768; 55% female, 73% white, mean age 54.2 ± 5.8 y). We developed an algorithm to automatically detect the heart vector origin point on a median beat. Three different approaches to construct a global XYZ beat and two methods to locate origin point were compared. Global electrical heterogeneity was measured by sum absolute QRST integral (SAI QRST), spatial QRS-T angle, and spatial ventricular gradient (SVG) magnitude, azimuth, and elevation. Adjudicated SCD served as the primary outcome. Results: There was high intra-observer (kappa 0.972) and inter-observer (kappa 0.984) agreement in a heart vector origin definition between an automated algorithm and a human. QRS was wider in a median beat that was constructed using R-peak alignment than in time-coherent beat (88.1 ± 16.7 vs. 83.7 ± 15.9 ms; P < 0.0001), and on a median beat constructed using QRS-onset as a zeroed baseline, vs. isoelectric origin point (86.7 ± 15.9 vs. 83.7 ± 15.9 ms; P < 0.0001). ROC AUC was significantly larger for QRS, QT, peak QRS-T angle, SVG elevation, and SAI QRST if measured on a time-coherent median beat, and for SAI QRST and SVG magnitude if measured on a median beat usingAbstract: Aim: Our goal was to investigate the effect of a global XYZ median beat construction and the heart vector origin point definition on predictive accuracy of ECG biomarkers of sudden cardiac death (SCD). Methods: Atherosclerosis Risk In Community study participants with analyzable digital ECGs were included (n = 15, 768; 55% female, 73% white, mean age 54.2 ± 5.8 y). We developed an algorithm to automatically detect the heart vector origin point on a median beat. Three different approaches to construct a global XYZ beat and two methods to locate origin point were compared. Global electrical heterogeneity was measured by sum absolute QRST integral (SAI QRST), spatial QRS-T angle, and spatial ventricular gradient (SVG) magnitude, azimuth, and elevation. Adjudicated SCD served as the primary outcome. Results: There was high intra-observer (kappa 0.972) and inter-observer (kappa 0.984) agreement in a heart vector origin definition between an automated algorithm and a human. QRS was wider in a median beat that was constructed using R-peak alignment than in time-coherent beat (88.1 ± 16.7 vs. 83.7 ± 15.9 ms; P < 0.0001), and on a median beat constructed using QRS-onset as a zeroed baseline, vs. isoelectric origin point (86.7 ± 15.9 vs. 83.7 ± 15.9 ms; P < 0.0001). ROC AUC was significantly larger for QRS, QT, peak QRS-T angle, SVG elevation, and SAI QRST if measured on a time-coherent median beat, and for SAI QRST and SVG magnitude if measured on a median beat using isoelectric origin point. Conclusion: Time-coherent global XYZ median beat with physiologically meaningful definition of the heart vector's origin point improved predictive accuracy of SCD biomarkers. Graphical abstract: Highlights: We developed a method to identify the heart vector's origin on vectorcardiogram. Origin of the heart vector corresponds to an isoelectric TP (or TQ) segment on ECG. Time-coherent global XYZ beat properly describes electrophysiology. Proper beat improves the predictive accuracy of sudden cardiac death biomarkers. … (more)
- Is Part Of:
- Computers in biology and medicine. Volume 104(2019)
- Journal:
- Computers in biology and medicine
- Issue:
- Volume 104(2019)
- Issue Display:
- Volume 104, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 104
- Issue:
- 2019
- Issue Sort Value:
- 2019-0104-2019-0000
- Page Start:
- 127
- Page End:
- 138
- Publication Date:
- 2019-01
- Subjects:
- Electrocardiography -- Sudden cardiac death -- Vectorcardiography -- Electrocardiology -- Vectorcardiogram -- Median beat -- Origin point
Medicine -- Data processing -- Periodicals
Biology -- Data processing -- Periodicals
610.285 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00104825/ ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.compbiomed.2018.11.013 ↗
- Languages:
- English
- ISSNs:
- 0010-4825
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.880000
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- 9062.xml