The atrioventricular conduction pathways which are composed of the atrioventricular node and the His-Purkinje system (HPS) form a specialized conduction system in the heart that participates in the control of the ventricular conduction. His bundle recordings require cardiac catheterization in the diagnosis of abnormalities within the HPS. These recordings have limitations that include discomfort, a slight morbidity risk, and limited recording area within the heart. This report outlines a noninvasive technique that utilizes high gain, wide band filtering and coherent signals averaging to extract the electrical activity of the HPS at the body surface. We have designed a portable instrument which enables: (i) a high gain, very low noise, optically isolated differential amplifier, (ii) an online digital QRS detector based on the principle of contour limiting which detects the desired QRS complexes and generates a very accurate trigger for the coherent signal averaging; (iii) a digital memory averager. This instrument can be used as an automatic clinical tool or as a data acquisition and preprocessing system for high frequency ECG and many other low level electrophysiological signals.
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http://dx.doi.org/10.1016/0141-5425(81)90009-1 | DOI Listing |
Front Cardiovasc Med
January 2025
Department of Cardiology, The First People's Hospital of Neijiang, Neijiang, China.
More than 1 million permanent pacemakers are implanted worldwide each year, half of which are in patients with high-grade atrioventricular block. Pacemakers provide adequate frequency support in the initial stage, but traditional right ventricular (RV) pacing may lead to or aggravate left ventricular dysfunction and arrhythmia. Several potential risk factors for heart failure and arrhythmias after pacemaker surgery have been identified, but their occurrence remains difficult to predict clinically.
View Article and Find Full Text PDFJACC Clin Electrophysiol
December 2024
The Hull Family Cardiac Fibrillation Management Laboratory, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada.
Background: Conduction velocity (CV) is a measure of the health of myocardial tissue. It can be measured by taking differences in local activation times from intracardiac electrodes. Several factors introduce error into the measurement, among which ignoring the 3-dimensional aspect is a major detriment.
View Article and Find Full Text PDFNat Cardiovasc Res
January 2025
Institute of Developmental and Regenerative Medicine, University of Oxford, Oxford, UK.
Arrhythmias are a hallmark of myocardial infarction (MI) and increase patient mortality. How insult to the cardiac conduction system causes arrhythmias following MI is poorly understood. Here, we demonstrate conduction system restoration during neonatal mouse heart regeneration versus pathological remodeling at non-regenerative stages.
View Article and Find Full Text PDFAm J Case Rep
December 2024
Department of Cardiac Pacing and Electrophysiology, Fortis Escorts Heart Institute (FEHI), New Delhi, India.
BACKGROUND Second-degree atrioventricular (AV) block is a frequently encountered conduction abnormality on surface electrocardiogram (ECG). However, it does not always imply a block at the AV nodal level. In rare cases, this block can occur below the bundle of His, within the infra-Hisian region of the His-Purkinje system.
View Article and Find Full Text PDFMed Eng Phys
December 2024
Cardiopulmonary Regenerative Engineering (CARE) Group, Centre for Biological Engineering, Wolfson School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University, UK; Lower Saxony Center for Biomedical Engineering, Implant Research and Development, Hannover Medical School, Germany. Electronic address:
In the past two decades there has been rapid development in the field of computational cardiac models. These have included either (i) mechanical models that assumed simultaneous myocardial activation, or (ii) electromechanical models that assumed time-varying myocardial activation. The influence of these modelling assumptions of myocardial activation on clinically relevant metrics, like myocardial strain, commonly used for validation of cardiac models has yet to be systematically examined, leading to uncertainty over their influence on the predictions of these models.
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