Literature DB >> 28591674

High-frequency power within the QRS complex in ischemic cardiomyopathy patients with ventricular arrhythmias: Insights from a clinical study and computer simulation of cardiac fibrous tissue.

Takeshi Tsutsumi1, Yoshiwo Okamoto2, Nami Takano3, Daisuke Wakatsuki4, Takanobu Tomaru5, Toshiaki Nakajima6.   

Abstract

BACKGROUND: The distribution of frequency power (DFP) within the QRS complex (QRS) is unclear. This study aimed to investigate the DFP within the QRS in ischemic cardiomyopathy (ICM) with lethal ventricular arrhythmias (L-VA). A computer simulation was performed to explore the mechanism of abnormal frequency power.
METHODS: The study included 31 ICM patients with and without L-VA (n = 10 and 21, respectively). We applied the continuous wavelet transform to measure the time-frequency power within the QRS. Integrated time-frequency power (ITFP) was measured within the frequency range of 5-300 Hz. The simulation model consisted of two-dimensional myocardial tissues intermingled with fibroblasts. We examined the relation between frequency power calculated from the simulated QRS and the fibroblast-to-myocyte ratio (r) of the model.
RESULTS: The frequency powers significantly increased from 180 to 300 Hz and from 5 to 15 Hz, and also decreased from 45 to 80 Hz in patients with ICM and L-VA compared with the normal individuals. They increased from 110 Hz to 250 Hz in ICM alone. In the simulation, the high-frequency power increased when the ratio (r) were 2.0-2.5. Functional reentry was initiated if the ratio (r) increased to 2.0.
CONCLUSIONS: Abnormal higher-frequency power (180-300 Hz) may provide arrhythmogenic signals in ICM with L-VA that may be associated with the fibrous tissue proliferation.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Computer simulation; Electrocardiographic QRS; Fibrous tissue; Ischemic cardiomyopathy; Lethal ventricular arrhythmias; Time-frequency analysis

Mesh:

Year:  2017        PMID: 28591674     DOI: 10.1016/j.compbiomed.2017.05.022

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


  1 in total

1.  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.

Authors:  Daniel García Iglesias; Nieves Roqueñi Gutiérrez; Francisco Javier De Cos; David Calvo
Journal:  Sensors (Basel)       Date:  2018-02-12       Impact factor: 3.576

  1 in total

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