Title | Importance of the heart vector origin point definition for an ECG analysis: The Atherosclerosis Risk in Communities (ARIC) study. |
Publication Type | Journal Article |
Year of Publication | 2019 |
Authors | Perez-Alday EAndres, Li-Pershing Y, Bender A, Hamilton C, Thomas JA, Johnson K, Lee TL, Gonzales R, Li A, Newton K |
Secondary Authors | Tereshchenko LG |
Journal | Comput Biol Med |
Volume | 104 |
Pagination | 127-138 |
Date Published | 2019 01 |
ISSN | 1879-0534 |
Keywords | Algorithms, Atherosclerosis, Death, Sudden, Cardiac, Female, Follow-Up Studies, Humans, Male, Middle Aged, Signal Processing, Computer-Assisted, Vectorcardiography |
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 CONCLUSION: Time-coherent global XYZ median beat with physiologically meaningful definition of the heart vector's origin point improved predictive accuracy of SCD biomarkers. |
DOI | 10.1016/j.compbiomed.2018.11.013 |
Alternate Journal | Comput Biol Med |
PubMed ID | 30472495 |
PubMed Central ID | PMC6400224 |
Grant List | R56 HL118277 / HL / NHLBI NIH HHS / United States R01 HL118277 / HL / NHLBI NIH HHS / United States HHSN268201700001I / HL / NHLBI NIH HHS / United States HHSN268201700004I / HL / NHLBI NIH HHS / United States HHSN268201700002I / HL / NHLBI NIH HHS / United States HHSN268201700005I / HL / NHLBI NIH HHS / United States HHSN268201700003I / HL / NHLBI NIH HHS / United States |