Introduction: Low-level electrocardiographic changes from depolarization wavefront may accompany acute myocardial ischemia. The purpose of this study was to assess the changes of microvolt amplitude intra-QRS potentials induced by elective percutaneous coronary interventions (PCI).
Methods: Fifty-seven patients with balloon inflation periods ranging from 3.1 to 7.3 minutes (4.9±0.7 min) were studied. Nine leads continuous high-resolution ECG before and during PCI were recorded and signal-averaged. Abnormal intra-QRS at microvolt level (μAIQP) were obtained using a signal modeling approach. μAIQP, R-wave amplitude and QRS duration were measured in the processed ECG during baseline and PCI episodes.
Results: The mean μAIQP amplitude significantly decreased for each of the standard 12 leads at the PCI event respect to baseline. Left anterior descending artery (LAD) occlusion resulted in a decrease μAIQP in both the precordial leads and the limb leads, while right coronary (RCA) and left circumflex (LCx) arteries occlusions mainly affected limb leads. R-wave amplitude increased during PCI in RCA and LCx groups in lead III but decreased in the precordial leads, while the amplitude decreased in the LAD group in lead III. The average duration of the QRS augmented in groups RCA and LCx but not in the LAD group.
Conclusions: Abnormal intra-QRS potentials at the level of μV provide an excellent tool to characterize the very-low amplitude fragmentation of the QRS complex and its changes due to ischemic injuries. μAIQP shows promise as a new ECG index to measure electrophysiologic changes associated with acute myocardial ischemia.
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http://dx.doi.org/10.1016/j.jelectrocard.2014.04.014 | DOI Listing |
Pacing Clin Electrophysiol
June 2018
Cardiology Institute, Rhythmology Unit, Hôpital Universitaire La Pitié-Salpêtrière, Paris, France.
Background: Depolarization abnormalities are hardly detectable by standard 12-lead electrocardiogram (ECG) in some patients.
Objective: To evaluate the value of the 16-lead High-Definition (HD)-ECG machine to record conduction abnormalities including Epsilon waves in patients with structural heart disease.
Methods: Tracings with 12-lead ECG, 16-lead HD-ECG, and signal-averaged ECG were studied.
Circ Arrhythm Electrophysiol
July 2017
From the Peter Munk Cardiac Center, Division of Cardiology, University Health Network, Toronto, Ontario, Canada (M.D., A.M.S., S.N., K.V., D.A.S., G.T., R.D., V.S.C.); Department of Cardiology, Freeman Hospital, Newcastle Upon Tyne, United Kingdom (M.D.); Division of Cardiology, St. Michael's Hospital, Toronto, Ontario, Canada (A.P.); Division of Cardiology, Sunnybrook Health Sciences Center, Toronto, Ontario, Canada (E.C.); and Department of Electrical and Computer Engineering, Ryerson University, Toronto, Ontario, Canada (S.K.).
Background: Cardiomyopathy patients are at risk of sudden death, typically from scar-related abnormalities of electrical activation that promote ventricular tachyarrhythmias. Abnormal intra-QRS peaks may provide a measure of altered activation. We hypothesized that quantification of such QRS peaks (QRSp) in high-resolution ECGs would predict arrhythmic events in implantable cardioverter-defibrillator (ICD)-eligible cardiomyopathy patients.
View Article and Find Full Text PDFSensors (Basel)
September 2016
Department of Electrical Engineering, National Chin-Yi University of Technology, Taichung 41170, Taiwan.
Abnormal intra-QRS potentials (AIQPs) are commonly observed in patients at high risk for ventricular tachycardia. We present a method for approximating a measured QRS complex using a non-linear neural network with all radial basis functions having the same smoothness. We extracted the high frequency, but low amplitude intra-QRS potentials using the approximation error to identify possible ventricular tachycardia.
View Article and Find Full Text PDFJ Electrocardiol
February 2016
Columbia University Medical Center, New York, NY, USA. Electronic address:
Background: Coronary artery disease and myocardial ischemia cause substantial morbidity and mortality. While ischemia is traditionally diagnosed on the 12-lead electrocardiogram (ECG) by shifts in the ST segment, electrical changes are also produced within the QRS complex during depolarization of ischemic ventricular tissue, though these are often of small amplitude and can be missed in traditional ECG analysis. We explore the utility of an easily implemented spectral analysis method for detecting intra-QRS changes during episodes of myocardial ischemia, using Holter recordings from the European ST-T database.
View Article and Find Full Text PDFJ Electrocardiol
October 2015
The Department of Biomedical Engineering and Center for Integrative Electrocardiology, Lund University, Lund, Sweden. Electronic address:
The development of new techniques for detection and characterization of transient myocardial ischemia has benefited considerably from the STAFF III database, acquired in patients receiving elective prolonged percutaneous transluminal coronary angiography. The present article reviews a range of techniques developed and/or evaluated on the ECG signals of this database, including techniques for exploring abnormal intra-QRS potentials, QRS slopes, QRS angles, T wave morphology, T wave alternans, spatiotemporal ECG information, as well as heart rate dynamics. The detection of changes in body position is also briefly reviewed as it is intimately related to ischemia detection.
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