Literature DB >> 24795285

Quantifying QRS changes during myocardial ischemia: Insights from high frequency electrocardiography.

Guy Amit1, Yair Granot1, Shimon Abboud2.   

Abstract

Over four decades of high frequency electrocardiography research have provided a body of knowledge about QRS changes during myocardial ischemia, and the techniques to measure and quantify them. High-frequency QRS (HFQRS) components, being closely related to the pattern of ventricular depolarization, carry valuable clinical information. Changes in HFQRS amplitude and morphology have been shown to be sensitive diagnostic markers of myocardial ischemia, often superior to measures of ST-T segment changes. Clinical studies in patients undergoing exercise testing have consistently demonstrated the incremental diagnostic value of HFQRS analysis in detection of demand ischemia. In 6 studies that evaluated the HyperQ™ technology, the average sensitivity and specificity of HFQRS analysis were 75%±6% and 80%±6%, respectively, compared to average sensitivity 48%±16% and average specificity 70%±15% of ST segment analysis. In patients with acute supply ischemia, recent studies characterized and quantified the ischemic HFQRS patterns. HFQRS morphology index was found to be higher in patients with acute coronary syndrome (ACS), compared to non-ischemic, with good sensitivity in patients without ST elevation. These research findings may be translated into commercially-available ECG systems and be used in clinical practice for improved diagnosis and monitoring of myocardial ischemia.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  High frequency electrocardiography; Myocardial ischemia; QRS changes

Mesh:

Year:  2014        PMID: 24795285     DOI: 10.1016/j.jelectrocard.2014.03.006

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


  8 in total

1.  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

2.  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

3.  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

4.  Functional aging in health and heart failure: the COmPLETE Study.

Authors:  Jonathan Wagner; Raphael Knaier; Denis Infanger; Konstantin Arbeev; Matthias Briel; Thomas Dieterle; Henner Hanssen; Oliver Faude; Ralf Roth; Timo Hinrichs; Arno Schmidt-Trucksäss
Journal:  BMC Cardiovasc Disord       Date:  2019-07-30       Impact factor: 2.298

5.  A Case of Acute Coronary Occlusion in a Morbidly Obese Patient Masked on Electrocardiogram by Low QRS Voltage.

Authors:  Jeffrey Golightly; Stacia Shipman; Ross Owens; Kelly Painter
Journal:  J Investig Med High Impact Case Rep       Date:  2020 Jan-Dec

6.  High-Frequency ECG for Detection of Myocardial Ischemia Associated with Right Coronary Artery Stenosis in IHD Patients.

Authors:  K S Kolosova; N Yu Grigoryeva; Yu I Kosyuga
Journal:  Sovrem Tekhnologii Med       Date:  2020

7.  High-frequency QRS analysis to supplement ST evaluation in exercise stress electrocardiography: Incremental diagnostic accuracy and net reclassification.

Authors:  Pelbreton C Balfour; Jorge A Gonzalez; Peter W Shaw; Margarita P Caminero; Eric M Holland; Jack W Melson; Michael Sobczak; Valerie Izarnotegui; Denny D Watson; George A Beller; Jamieson M Bourque
Journal:  J Nucl Cardiol       Date:  2018-11-30       Impact factor: 5.952

8.  ECG features and methods for automatic classification of ventricular premature and ischemic heartbeats: A comprehensive experimental study.

Authors:  Lucie Maršánová; Marina Ronzhina; Radovan Smíšek; Martin Vítek; Andrea Němcová; Lukas Smital; Marie Nováková
Journal:  Sci Rep       Date:  2017-09-11       Impact factor: 4.379

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.