Literature DB >> 26025201

An in-silico analysis of the effect of heart position and orientation on the ECG morphology and vectorcardiogram parameters in patients with heart failure and intraventricular conduction defects.

Uyên Châu Nguyên1, Mark Potse2, François Regoli3, Maria Luce Caputo3, Giulio Conte3, Romina Murzilli3, Stefano Muzzarelli3, Tiziano Moccetti3, Enrico G Caiani4, Frits W Prinzen5, Rolf Krause6, Angelo Auricchio7.   

Abstract

AIM: The aim of this study was to investigate the influence of geometrical factors on the ECG morphology and vectorcardiogram (VCG) parameters.
METHODS: Patient-tailored models based on five heart-failure patients with intraventricular conduction defects (IVCDs) were created. The heart was shifted up to 6 cm to the left, right, up, and down and rotated ±30° around the anteroposterior axis. Precordial electrodes were shifted 3 cm down.
RESULTS: Geometry modifications strongly altered ECG notching/slurring and intrinsicoid deflection time. Maximum VCG parameter changes were small for QRS duration (-6% to +10%) and QRS-T angle (-6% to +3%), but considerable for QRS amplitude (-36% to +59%), QRS area (-37% to +42%), T-wave amplitude (-41% to +36%), and T-wave area (-42% to +33%).
CONCLUSION: The position of the heart with respect to the electrodes is an important factor determining notching/slurring and voltage-dependent parameters and therefore must be considered for accurate diagnosis of IVCDs.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Computer simulation; ECG morphology; Geometry; VCG

Mesh:

Year:  2015        PMID: 26025201     DOI: 10.1016/j.jelectrocard.2015.05.004

Source DB:  PubMed          Journal:  J Electrocardiol        ISSN: 0022-0736            Impact factor:   1.438


  12 in total

1.  Sensitivity analysis of ventricular activation and electrocardiogram in tailored models of heart-failure patients.

Authors:  C Sánchez; G D'Ambrosio; F Maffessanti; E G Caiani; F W Prinzen; R Krause; A Auricchio; M Potse
Journal:  Med Biol Eng Comput       Date:  2017-08-19       Impact factor: 2.602

2.  Efficient Computational Modeling of Human Ventricular Activation and Its Electrocardiographic Representation: A Sensitivity Study.

Authors:  Jonathan P Cranford; Thomas J O'Hara; Christopher T Villongco; Omar M Hafez; Robert C Blake; Joseph Loscalzo; Jean-Luc Fattebert; David F Richards; Xiaohua Zhang; James N Glosli; Andrew D McCulloch; David E Krummen; Felice C Lightstone; Sergio E Wong
Journal:  Cardiovasc Eng Technol       Date:  2018-03-16       Impact factor: 2.495

3.  Non-invasive, model-based measures of ventricular electrical dyssynchrony for predicting CRT outcomes.

Authors:  Christopher T Villongco; David E Krummen; Jeffrey H Omens; Andrew D McCulloch
Journal:  Europace       Date:  2016-12       Impact factor: 5.214

4.  Scalable and Accurate ECG Simulation for Reaction-Diffusion Models of the Human Heart.

Authors:  Mark Potse
Journal:  Front Physiol       Date:  2018-04-20       Impact factor: 4.566

Review 5.  Computational models in cardiology.

Authors:  Steven A Niederer; Joost Lumens; Natalia A Trayanova
Journal:  Nat Rev Cardiol       Date:  2019-02       Impact factor: 32.419

6.  Novel Bloodless Potassium Determination Using a Signal-Processed Single-Lead ECG.

Authors:  Zachi I Attia; Christopher V DeSimone; John J Dillon; Yehu Sapir; Virend K Somers; Jennifer L Dugan; Charles J Bruce; Michael J Ackerman; Samuel J Asirvatham; Bryan L Striemer; Jan Bukartyk; Christopher G Scott; Kevin E Bennet; Dorothy J Ladewig; Emily J Gilles; Dan Sadot; Amir B Geva; Paul A Friedman
Journal:  J Am Heart Assoc       Date:  2016-01-25       Impact factor: 5.501

7.  Identifying delayed left ventricular lateral wall activation in patients with non-specific intraventricular conduction delay using coronary venous electroanatomical mapping.

Authors:  A M W van Stipdonk; M Mafi Rad; J G L M Luermans; H J Crijns; F W Prinzen; K Vernooy
Journal:  Neth Heart J       Date:  2016-01       Impact factor: 2.380

8.  Evaluation of a Rapid Anisotropic Model for ECG Simulation.

Authors:  Simone Pezzuto; Peter Kal'avský; Mark Potse; Frits W Prinzen; Angelo Auricchio; Rolf Krause
Journal:  Front Physiol       Date:  2017-05-02       Impact factor: 4.566

9.  MRI-Based Computational Torso/Biventricular Multiscale Models to Investigate the Impact of Anatomical Variability on the ECG QRS Complex.

Authors:  Ana Mincholé; Ernesto Zacur; Rina Ariga; Vicente Grau; Blanca Rodriguez
Journal:  Front Physiol       Date:  2019-08-27       Impact factor: 4.566

Review 10.  Model Systems for Addressing Mechanism of Arrhythmogenesis in Cardiac Repair.

Authors:  Xiao-Dong Zhang; Phung N Thai; Deborah K Lieu; Nipavan Chiamvimonvat
Journal:  Curr Cardiol Rep       Date:  2021-05-29       Impact factor: 2.931

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.