Literature DB >> 25842361

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

Larisa G Tereshchenko1, Jonathan W Waks2, Muammar Kabir3, Elyar Ghafoori3, Alexei Shvilkin2, Mark E Josephson2.   

Abstract

BACKGROUND: We developed a novel method of assessing ventricular conduction using the surface ECG.
METHODS: Orthogonal ECGs of 81 healthy controls (age 39.0±14.2 y; 51.8% males; 94% white), were compared with iDower-transformed 12-lead ECGs (both 1000Hz), recorded in 8 patients with infarct-cardiomyopathy and sustained monomorphic ventricular tachycardia (VT) (age 68.0±7.8y, 37.5% male, mean LVEF 29±12%). Normalized speed at 10 QRS segments was calculated as the distance traveled by the heart vector along the QRS loop in three-dimensional space, divided by 1/10th of the QRS duration. Curvature was calculated as the magnitude of the derivative of the QRS loop tangent vector divided by speed. Planarity was calculated as the mean of the dihedral angles between 2 consecutive planes for all planes generated for the median beat. Orbital frequency (a scalar measure of rotation rate of the QRS vector) was calculated as a product of speed and curvature.
RESULTS: Mixed regression analysis showed that speed was slower [6.6 (95%CI 4.4-8.9) vs. 24.6 (95%CI 11.5-37.7)µV/ms; P<0.0001]; orbital frequency was smaller [1.4 (95%CI 1.2-1.6) vs. 6.8 (95%CI 5.4-8.1)ms(-1); P<0.0001], and planarity was larger by 3.6° (95%CI 1.4°-5.8; P=0.002) in VT cases than in healthy controls. ROC AUC for orbital frequency was 0.940 (95%CI 0.935-0.944) across all frequencies and QRS segments. ROC AUC for planarity at 70-249Hz was 0.995 (95%CI 0.985-1.00). ROC AUC for speed at 70-79Hz was 0.979 (95%CI 0.969-0.989).
CONCLUSION: This novel method reveals characteristic features of an abnormal electrophysiological substrate associated with VT.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Conduction velocity; Curvature; Frequency characteristics; Heart vector; Planarity; Speed; Vectorcardiography; Ventricular tachycardia

Mesh:

Year:  2015        PMID: 25842361      PMCID: PMC4575605          DOI: 10.1016/j.compbiomed.2015.03.001

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  22 in total

1.  Analysis of abnormal signals within the QRS complex of the high-resolution electrocardiogram.

Authors:  P Gomis; D L Jones; P Caminal; E J Berbari; P Lander
Journal:  IEEE Trans Biomed Eng       Date:  1997-08       Impact factor: 4.538

2.  Assessment of the stability of the individual-based correction of QT interval for heart rate.

Authors:  Jean-Philippe Couderc; Xia Xiaojuan; Wojciech Zareba; Arthur J Moss
Journal:  Ann Noninvasive Electrocardiol       Date:  2005-01       Impact factor: 1.468

3.  Vectorcardiographic loop alignment and morphologic beat-to-beat variability.

Authors:  L Sörnmo
Journal:  IEEE Trans Biomed Eng       Date:  1998-12       Impact factor: 4.538

4.  Vectorcardiogram synthesized from a 12-lead ECG: superiority of the inverse Dower matrix.

Authors:  L Edenbrandt; O Pahlm
Journal:  J Electrocardiol       Date:  1988-11       Impact factor: 1.438

5.  Prediction of long-term outcomes by signal-averaged electrocardiography in patients with unsustained ventricular tachycardia, coronary artery disease, and left ventricular dysfunction.

Authors:  J A Gomes; M E Cain; A E Buxton; M E Josephson; K L Lee; G E Hafley
Journal:  Circulation       Date:  2001-07-24       Impact factor: 29.690

6.  Risk stratification after myocardial infarction using signal-averaged electrocardiographic criteria adjusted for sex, age, and myocardial infarction location.

Authors:  P Savard; J L Rouleau; J Ferguson; N Poitras; P Morel; R F Davies; D J Stewart; M Talajic; M Gardner; R Dupuis; C Lauzon; B Sussex; L Potvin; W Warnica
Journal:  Circulation       Date:  1997-07-01       Impact factor: 29.690

7.  Analysis of abnormal intra-QRS potentials. Improved predictive value for arrhythmic events with the signal-averaged electrocardiogram.

Authors:  P Lander; P Gomis; R Goyal; E J Berbari; P Caminal; R Lazzara; J S Steinberg
Journal:  Circulation       Date:  1997-03-18       Impact factor: 29.690

8.  Relation between late potentials on the body surface and directly recorded fragmented electrograms in patients with ventricular tachycardia.

Authors:  M B Simson; W J Untereker; S R Spielman; L N Horowitz; N H Marcus; R A Falcone; A H Harken; M E Josephson
Journal:  Am J Cardiol       Date:  1983-01-01       Impact factor: 2.778

Review 9.  Noninducibility in postinfarction ventricular tachycardia as an end point for ventricular tachycardia ablation and its effects on outcomes: a meta-analysis.

Authors:  Hamid Ghanbari; Kazim Baser; Miki Yokokawa; William Stevenson; Paolo Della Bella; Pasquale Vergara; Thomas Deneke; Karl-Heinz Kuck; Hans Kottkamp; She Fei; Fred Morady; Frank Bogun
Journal:  Circ Arrhythm Electrophysiol       Date:  2014-05-30

10.  Limitations of ejection fraction for prediction of sudden death risk in patients with coronary artery disease: lessons from the MUSTT study.

Authors:  Alfred E Buxton; Kerry L Lee; Gail E Hafley; Luis A Pires; John D Fisher; Michael R Gold; Mark E Josephson; Michael H Lehmann; Eric N Prystowsky
Journal:  J Am Coll Cardiol       Date:  2007-09-04       Impact factor: 24.094

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  5 in total

1.  Correlation between the high-frequency content of the QRS on murine surface electrocardiogram and the sympathetic nerves density in left ventricle after myocardial infarction: Experimental study.

Authors:  Golriz Sedaghat; Ryan T Gardner; Muammar M Kabir; Elyar Ghafoori; Beth A Habecker; Larisa G Tereshchenko
Journal:  J Electrocardiol       Date:  2017-02-03       Impact factor: 1.438

2.  Optimal configuration of adhesive ECG patches suitable for long-term monitoring of a vectorcardiogram.

Authors:  Muammar M Kabir; Erick A Perez-Alday; Jason Thomas; Golriz Sedaghat; Larisa G Tereshchenko
Journal:  J Electrocardiol       Date:  2016-12-29       Impact factor: 1.438

Review 3.  Frequency content and characteristics of ventricular conduction.

Authors:  Larisa G Tereshchenko; Mark E Josephson
Journal:  J Electrocardiol       Date:  2015-08-28       Impact factor: 1.438

4.  Quantitative Assessment of Vectorcardiographic Loop Morphology.

Authors:  Golriz Sedaghat; Elyar Ghafoori; Jonathan W Waks; Muammar M Kabir; Alexei Shvilkin; Mark E Josephson; Larisa G Tereshchenko
Journal:  J Electrocardiol       Date:  2016-01-06       Impact factor: 1.438

5.  Plasticizer Interaction With the Heart: Chemicals Used in Plastic Medical Devices Can Interfere With Cardiac Electrophysiology.

Authors:  Rafael Jaimes; Damon McCullough; Bryan Siegel; Luther Swift; Daniel McInerney; James Hiebert; Erick A Perez-Alday; Beatriz Trenor; Jiansong Sheng; Javier Saiz; Larisa G Tereshchenko; Nikki Gillum Posnack
Journal:  Circ Arrhythm Electrophysiol       Date:  2019-06-28
  5 in total

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