Global Electrical Heterogeneity

Global Electrical Heterogeneity explained

Global ECG Measures and Cardiac Structure and Function: The ARIC Study (Atherosclerosis Risk in Communities). Biering-Sørensen T, Kabir M, Waks JW, Thomas J, Post WS, Soliman EZ, Buxton AE, Shah AM, Solomon SD, Tereshchenko LG. Circ Arrhythm Electrophysiol. 2018 Mar;11(3):e005961

Global Electric Heterogeneity Risk Score for Prediction of Sudden Cardiac Death in the General Population: The Atherosclerosis Risk in Communities (ARIC) and Cardiovascular Health (CHS) Studies.  Jonathan W. Waks, Colleen M. Sitlani, Elsayed Z. Soliman, Muammar Kabir, Elyar Ghafoori, Mary L. Biggs, Charles A. Henrikson, Nona Sotoodehnia, Tor Biering-Sørensen, Sunil K. Agarwal, David S. Siscovick, Wendy S. Post, Scott D. Solomon, Alfred E. Buxton, Mark E. Josephson, Larisa G. Tereshchenko. Circulation. 2016;133:2222-2234

Global electrical heterogeneity: A review of the spatial ventricular gradient. Waks JW, Tereshchenko LG. J Electrocardiol. 2016 Nov - Dec;49(6):824-830

Dynamic Changes in High-Sensitivity Cardiac Troponin I Are Associated with Dynamic Changes in Sum Absolute QRST Integral on Surface Electrocardiogram in Acute Decompensated Heart Failure. Tereshchenko LG, Feeny A, Shelton E, Metkus T, Stolbach A, Mavunga E, Putman S, Korley FK. Ann Noninvasive Electrocardiol. 2017 Jan;22(1)

Electrophysiologic Substrate and Risk of Mortality in Incident Hemodialysis. Tereshchenko LG, Kim ED, Oehler A, Meoni LA, Ghafoori E, Rami T, Maly M, Kabir M, Hawkins L, Tomaselli GF, Lima JA, Jaar BG, Sozio SM, Estrella M, Kao WH, Parekh RS.
J Am Soc Nephrol. 2016 Nov;27(11):3413-3420

Electrical Dyssynchrony on Noninvasive Electrocardiographic Mapping correlates with SAI QRST on surface ECG. Tereshchenko LG, Ghafoori E, Kabir MM, Kowalsky M. Comput Cardiol (2010). 2015 Sep;42:69-72

Novel measure of electrical dyssynchrony predicts response in cardiac resynchronization therapy: Results from the SMART-AV Trial. Tereshchenko LG, Cheng A, Park J, Wold N, Meyer TE, Gold MR, Mittal S, Singh J, Stein KM, Ellenbogen KA; SMART-AV Trial Investigators. Heart Rhythm. 2015 Dec;12(12):2402-10

Electrocardiographic QRS-T angle and the risk of incident silent myocardial infarction in the Atherosclerosis Risk in Communities study. Zhang ZM, Rautaharju PM, Prineas RJ, Tereshchenko L, Soliman EZ. J Electrocardiol. 2017 May 4. pii: S0022-0736(17)30127-9

Usefulness of the Sum Absolute QRST Integral to Predict Outcomes in Patients Receiving Cardiac Resynchronization Therapy.
Jacobsson J, Borgquist R, Reitan C, Ghafoori E, Chatterjee NA, Kabir M, Platonov PG, Carlson J, Singh JP, Tereshchenko LG.
Am J Cardiol. 2016 Aug 1;118(3):389-95.

Comparison of sum absolute QRST integral, and temporal variability in depolarization and repolarization, measured by dynamic vectorcardiography approach, in healthy men and women. Sur S, Han L, Tereshchenko LG. PLoS One. 2013;8(2):e57175.

ECG marker of adverse electrical remodeling post-myocardial infarction predicts outcomes in MADIT II study. Tereshchenko LG, McNitt S, Han L, Berger RD, Zareba W. PLoS One. 2012;7(12):e51812

Controversy surrounding the best time for ICD implantation after myocardial infarction. Tereshchenko LG. Heart Rhythm. 2013 Jun;10(6):836-7

A new electrocardiogram marker to identify patients at low risk for ventricular tachyarrhythmias: sum magnitude of the absolute QRST integral. Tereshchenko LG, Cheng A, Fetics BJ, Butcher B, Marine JE, Spragg DD, Sinha S, Dalal D, Calkins H, Tomaselli GF, Berger RD. J Electrocardiol. 2011 Mar-Apr;44(2):208-16

Ventricular arrhythmia is predicted by sum absolute QRST integralbut not by QRS width. Tereshchenko LG, Cheng A, Fetics BJ, Marine JE, Spragg DD, Sinha S, Calkins H, Tomaselli GF, Berger RD. J Electrocardiol. 2010 Nov-Dec;43(6):548-52.

Intracardiac QT integral on far-field ICD electrogram predicts sustained ventricular tachyarrhythmias in ICD patients. Tereshchenko LG, Ghanem RN, Abeyratne A, Swerdlow CD. Heart Rhythm. 2011 Dec;8(12):1889-94

Characteristics of ventricular conduction

Analysis of speed, curvature, planarity and frequency characteristics of heart vector movement to evaluate the electrophysiological substrate associated with ventricular tachycardia.

Tereshchenko LG, Waks JW, Kabir M, Ghafoori E, Shvilkin A, Josephson M.E. Comput Biol Med. 2015 Oct 1;65:150-60. doi: 10.1016/j.compbiomed.2015.03.001. Epub 2015 Mar 19.

Novel method reveals characteristic features of an abnormal electrophysiological substrate associated with ventricular tachycardia

Frequency content and characteristics of ventricular conduction

Frequency content and characteristics of ventricular conduction. Tereshchenko LG, Josephson ME.  Journal of electrocardiology. 2015; 48(6):933-7.  NIHMSID: NIHMS719824  PMID: 26364232 PMCID: PMC4624499

In this manuscript we review previous studies of QRS frequency content, and discuss our novel method of the conjoint analysis of the ECG signal in six dimensions: in the domain of three space dimensions, in time domain, and in frequency domain. Orbital frequency of QRS loop is introduced as a six-dimensional characteristic of ventricular conduction, which helped to reveal inapparent ventricular conduction, and to characterize electrophysiological substrate.