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A Comprehensive Review on the Electrocardiographic Manifestations of Cardiac Sarcoidosis: Patterns and Prognosis.
Curr Cardiol Rep
September 2024
Center for Global Health Research, Saveetha Institute of Medical and Technical Sciences, Saveetha Medical College and Hospital, Saveetha University, Chennai, 602117, India.
Purpose Of Review: Cardiac sarcoidosis (CS) refers to cardiac involvement in sarcoidosis and is usually associated with worse outcomes. This comprehensive review aims to elucidate the electrocardiographic (ECG) signs and features associated with CS, as well as examine modern techniques and their importance in CS evaluation.
Recent Findings: The exact pathogenesis of CS is still unclear, but it stems from an abnormal immunological response triggered by environmental factors in individuals with genetic predisposition.
The role of beat-by-beat cardiac features in machine learning classification of ischemic heart disease (IHD) in magnetocardiogram (MCG).
Biomed Phys Eng Express
May 2024
Department of Cardiology, Jawaharlal Institute of Postgraduate Medical Education and Research, Dhanvantri Nagar, Pondicherry-605 006, Puducherry, India.
Cardiac electrical changes associated with ischemic heart disease (IHD) are subtle and could be detected even in rest condition in magnetocardiography (MCG) which measures weak cardiac magnetic fields. Cardiac features that are derived from MCG recorded from multiple locations on the chest of subjects and some conventional time domain indices are widely used in Machine learning (ML) classifiers to objectively distinguish IHD and control subjects. Most of the earlier studies have employed features that are derived from signal-averaged cardiac beats and have ignored inter-beat information.
View Article and Find Full Text PDFA method for noninvasive beat-by-beat visualization of His bundle signals.
Ann Noninvasive Electrocardiol
September 2023
Department of Cardiology, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India.
Background: Invasive recording of His bundle signals (HBS) in electrophysiological study (EPS) is important in determining HV interval, the time taken to activate the ventricles from the His bundle. Noninvasive surface measurements of HBS are attempted by averaging typically 100-200 cardiac cycles of ECG time series in body surface potential mapping (BSPM) and in magnetocardiography (MCG) which records weak cardiac magnetic fields by highly sensitive detectors. However, noninvasive beat-by-beat extraction of HBS is challenged by ramp-like atrial signals and noise in PR segment of the cardiac cycle.
View Article and Find Full Text PDFMeasurement of the cardiac time intervals of the fetal ECG utilising a computerised algorithm: A retrospective observational study.
JRSM Cardiovasc Dis
May 2022
Department of Pediatrics, Columbia University Medical Center, Morgan Stanley Children's Hospital, New York, USA.
Objective: Establish whether the reliable measurement of cardiac time intervals of the fetal ECG can be automated and to address whether this approach could be used to investigate large datasets.
Design: Retrospective observational study.
Setting: Teaching hospitals in London UK, Nottingham UK and New York USA.
Enhancing electrocardiographic analysis by combining a high-resolution 12-lead ECG with novel software tools.
J Electrocardiol
March 2022
Department of Cardiology, Hospital Británico de Buenos Aires, Argentina.
Introduction: Signal-averaged electrocardiography is a non-invasive, computerized technique that amplifies, filters, and averages cardiac electrical signals reducing contaminating noise to obtain a high-resolution record. The most widely used signal averaging (SA) method involves a bipolar X, Y, and Z orthogonal lead system. Information is limited regarding its application in the standard resting 12-lead ECG.
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