Literature DB >> 33414723

R-Wave Singularity: A New Morphological Approach to the Analysis of Cardiac Electrical Dyssynchrony.

Ping Zhan1,2, Tao Li3, Jinlong Shi1,2, Guojing Wang1,2, Buqing Wang4, Hongyun Liu1,2, Weidong Wang1,2.   

Abstract

R-wave singularity (RWS) measures the intermittence or discontinuousness of R waves. It has been broadly used in QRS (QRS complex of electrocardiogram) detection, electrocardiogram (ECG) beats classification, etc. In this article, we novelly developed RWS to the analysis of QRS morphology as the measurement of ventricular dyssynchrony and tested the hypothesis that RWS could enhance the discrimination between control and acute myocardial infarction (AMI) patients. Holter ECG recordings were obtained from the Telemetric and Holter ECG Warehouse database, among which database Normal was extracted as normal controls (n = 202) and database AMI (n = 93) as typical subjects of autonomic nervous system dysfunction and cardiac electrical dyssynchrony with high risk for cardiac arrhythmias and sudden cardiac death. Experimental results demonstrate that RWS measured by Lipschitz exponent calculated from 5-min Holter recordings was significantly less negative in early AMI and late AMI than that in Normal subjects for overall, elderly, and elderly male groups, which suggested the heterogeneous depolarization of the ventricular myocardium during AMI. Receiver operating characteristic curve analyses show that combined with heart rate variability parameters, Lipschitz exponent provides higher accuracy in distinguishing between the patients with AMI and healthy control subjects for overall, elderly, elderly male, and elderly female groups. In summary, our study demonstrates the significance of using RWS to probe the cardiac electrical dyssynchrony for AMI. Lipschitz exponent may be valuable and complementary for existing cardiac resynchronization therapy and autonomic nervous system assessment.
Copyright © 2020 Zhan, Li, Shi, Wang, Wang, Liu and Wang.

Entities:  

Keywords:  Lipschitz exponent; R-wave singularity; acute myocardial infarction; autonomic nervous system; cardiac electrical dyssynchrony; heart rate variability; ventricular dyssynchrony

Year:  2020        PMID: 33414723      PMCID: PMC7783454          DOI: 10.3389/fphys.2020.599838

Source DB:  PubMed          Journal:  Front Physiol        ISSN: 1664-042X            Impact factor:   4.566


  31 in total

1.  Benefit of cardiac resynchronization therapy to a patient with a narrow QRS complex and ventricular dyssynchrony identified by tissue synchronization imaging.

Authors:  Kaoru Dohi; Matthew Suffoletto; Srinivas Murali; Raveen Bazaz; John Gorcsan
Journal:  Eur J Echocardiogr       Date:  2005-04-02

Review 2.  Heart rate variability: are you using it properly? Standardisation checklist of procedures.

Authors:  Aparecida Maria Catai; Carlos Marcelo Pastre; Moacir Fernades de Godoy; Ester da Silva; Anielle Christine de Medeiros Takahashi; Luiz Carlos Marques Vanderlei
Journal:  Braz J Phys Ther       Date:  2019-02-26       Impact factor: 3.377

3.  Changes in left ventricular synchrony and systolic function in dilated cardiomyopathy patients with fragmented QRS complexes.

Authors:  Ling Zhao; Juan Lu; Zhi-Min Cui; Behzad B Pavri; Min Dai; Da-Jun Qian; Wei-Gang Shen; Tao Guo; Ru-Xing Wang
Journal:  Europace       Date:  2015-03-29       Impact factor: 5.214

4.  T-wave morphology can distinguish healthy controls from LQTS patients.

Authors:  S A Immanuel; A Sadrieh; M Baumert; J P Couderc; W Zareba; A P Hill; J I Vandenberg
Journal:  Physiol Meas       Date:  2016-08-11       Impact factor: 2.833

5.  Depolarization changes during acute myocardial ischemia by evaluation of QRS slopes: standard lead and vectorial approach.

Authors:  Daniel Romero; Michael Ringborn; Pablo Laguna; Olle Pahlm; Esther Pueyo
Journal:  IEEE Trans Biomed Eng       Date:  2010-09-13       Impact factor: 4.538

6.  Prevalence and prognostic value of poor R-wave progression in standard resting electrocardiogram in a general adult population. The Health 2000 Survey.

Authors:  Ismo Anttila; Kjell Nikus; Tuomo Nieminen; Antti Jula; Antti Reunanen; Veikko Salomaa; Anna Kattainen; Markku S Nieminen; Terho Lehtimäki; Vesa Virtanen; Samuel Sclarovsky; Mika Kähönen
Journal:  Ann Med       Date:  2010-03       Impact factor: 4.709

7.  R- and S-wave amplitude changes with acute anterior transmural myocardial ischemia. Correlations with left ventricular filling pressures.

Authors:  S Charlap; J Shani; N Schulhoff; B Herman; E Lichstein
Journal:  Chest       Date:  1990-03       Impact factor: 9.410

8.  Ventricular dyssynchrony assessment using ultra-high frequency ECG technique.

Authors:  Pavel Jurak; Josef Halamek; Jaroslav Meluzin; Filip Plesinger; Tereza Postranecka; Jolana Lipoldova; Miroslav Novak; Vlastimil Vondra; Ivo Viscor; Ladislav Soukup; Petr Klimes; Petr Vesely; Josef Sumbera; Karel Zeman; Roshini S Asirvatham; Jason Tri; Samuel J Asirvatham; Pavel Leinveber
Journal:  J Interv Card Electrophysiol       Date:  2017-07-10       Impact factor: 1.900

9.  Heart Rate Fragmentation: A New Approach to the Analysis of Cardiac Interbeat Interval Dynamics.

Authors:  Madalena D Costa; Roger B Davis; Ary L Goldberger
Journal:  Front Physiol       Date:  2017-05-09       Impact factor: 4.566

10.  A refined method of quantifying deceleration capacity index for heart rate variability analysis.

Authors:  Hongyun Liu; Ping Zhan; Jinlong Shi; Guojing Wang; Buqing Wang; Weidong Wang
Journal:  Biomed Eng Online       Date:  2018-12-18       Impact factor: 2.819

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