Literature DB >> 26364232

Frequency content and characteristics of ventricular conduction.

Larisa G Tereshchenko1, Mark E Josephson2.   

Abstract

The spectrum of frequencies producing the QRS complex has not been fully explored. 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. In this paper, we review our novel method in the historical context.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Frequency content; Vectorcardiogram

Mesh:

Year:  2015        PMID: 26364232      PMCID: PMC4624499          DOI: 10.1016/j.jelectrocard.2015.08.034

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


  25 in total

Review 1.  A review of electrocardiogram filtering.

Authors:  Shen Luo; Paul Johnston
Journal:  J Electrocardiol       Date:  2010-09-18       Impact factor: 1.438

Review 2.  High-frequency QRS electrocardiogram.

Authors:  Elin Trägårdh; Todd T Schlegel
Journal:  Clin Physiol Funct Imaging       Date:  2007-07       Impact factor: 2.273

3.  High-frequency components in the electrocardiograms of normal subjects and of patients with coronary heart disease.

Authors:  P H LANGNER; D B GESELOWITZ; F T MANSURE; J A LAUER
Journal:  Am Heart J       Date:  1961-12       Impact factor: 4.749

4.  Intra-QRS spectral changes accompany ST segment changes during episodes of myocardial ischemia.

Authors:  Boris Gramatikov; Vivek Iyer
Journal:  J Electrocardiol       Date:  2014-09-16       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.  Intraoperative endocardial mapping during sinus rhythm: relationship to site of origin of ventricular tachycardia.

Authors:  M G Kienzle; J Miller; R A Falcone; A Harken; M E Josephson
Journal:  Circulation       Date:  1984-12       Impact factor: 29.690

7.  Development of Analytical Approach for an Automated Analysis of Continuous Long-Term Single Lead ECG for Diagnosis of Paroxysmal Atrioventricular Block.

Authors:  Muammar M Kabir; Larisa G Tereshchenko
Journal:  Comput Cardiol (2010)       Date:  2014-09-07

8.  Recurrent sustained ventricular tachycardia. 2. Endocardial mapping.

Authors:  M E Josephson; L N Horowitz; A Farshidi; J F Spear; J A Kastor; E N Moore
Journal:  Circulation       Date:  1978-03       Impact factor: 29.690

9.  Quantification of differences in frequency content of signal-averaged electrocardiograms in patients with compared to those without sustained ventricular tachycardia.

Authors:  M E Cain; H D Ambos; J Markham; A E Fischer; B E Sobel
Journal:  Am J Cardiol       Date:  1985-06-01       Impact factor: 2.778

10.  Continuous local electrical activity. A mechanism of recurrent ventricular tachycardia.

Authors:  M E Josephson; L N Horowitz; A Farshidi
Journal:  Circulation       Date:  1978-04       Impact factor: 29.690

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  19 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

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5.  Analysis of the High-Frequency Content in Human QRS Complexes by the Continuous Wavelet Transform: An Automatized Analysis for the Prediction of Sudden Cardiac Death.

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Journal:  Sensors (Basel)       Date:  2018-02-12       Impact factor: 3.576

6.  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

7.  Spectral Analysis of the QT Interval Increases the Prediction Accuracy of Clinical Variables in Brugada Syndrome.

Authors:  Daniel García-Iglesias; Francisco Javier de Cos; Francisco Javier Romero; Srujana Polana; José Manuel Rubín; Diego Pérez; Julián Reguero; Jesús María de la Hera; Pablo Avanzas; Juan Gómez; Eliecer Coto; César Morís; David Calvo
Journal:  J Clin Med       Date:  2019-10-04       Impact factor: 4.241

8.  Directed Connectivity Analysis of the Neuro-Cardio- and Respiratory Systems Reveals Novel Biomarkers of Susceptibility to SUDEP.

Authors:  T Noah Hutson; Farnaz Rezaei; Nicole M Gautier; Jagadeeswaran Indumathy; Edward Glasscock; Leonidas Iasemidis
Journal:  IEEE Open J Eng Med Biol       Date:  2020-11-06

9.  Estimation of Instantaneous Oxygen Uptake During Exercise and Daily Activities Using a Wearable Cardio-Electromechanical and Environmental Sensor.

Authors:  Md Mobashir Hasan Shandhi; William H Bartlett; James Alex Heller; Mozziyar Etemadi; Aaron Young; Thomas Plotz; Omer T Inan
Journal:  IEEE J Biomed Health Inform       Date:  2021-03-05       Impact factor: 5.772

10.  Automated detection of heart ailments from 12-lead ECG using complex wavelet sub-band bi-spectrum features.

Authors:  Rajesh Kumar Tripathy; Samarendra Dandapat
Journal:  Healthc Technol Lett       Date:  2017-02-16
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