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Related Concept Videos

Electrocardiogram01:29

Electrocardiogram

9.4K
An electrocardiogram (ECG or EKG) is a critical diagnostic tool that records the electrical signals produced by the heart during each heartbeat. This recording is achieved through electrodes placed strategically on the arms, legs, and chest. The electrocardiograph amplifies these signals and produces 12 distinct tracings, offering a comprehensive understanding of the heart's electrical activity.
Three major waveforms are present in a typical ECG recording: the P wave, the QRS complex, and...
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Electrocardiogram Fundamentals01:28

Electrocardiogram Fundamentals

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Introduction
An electrocardiogram (ECG) is a diagnostic tool for identifying cardiac conditions such as arrhythmias, conduction abnormalities, and myocardial ischemia.
Definition
An electrocardiogram (ECG) visualizes the heart's electrical activity by tracing the electrical movement associated with each heartbeat on a graph or monitor. As the heart beats, an electrical wave passes through it, correlating with the cardiac cycle events.
Parts of an ECG
An ECG utilizes electrodes on the skin...
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Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
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A wavelet-based electrogram onset delineator for automatic ventricular activation mapping.

Alejandro Alcaine, David Soto-Iglesias, Mireia Calvo

    IEEE Transactions on Bio-Medical Engineering
    |June 22, 2014
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces an automated method for pinpointing ablation targets in focal tachycardias using electroanatomical mapping (EAM) and electrogram (EGM) signals. The new strategy significantly reduces errors and processing time during catheter ablation procedures.

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    Area of Science:

    • Cardiovascular Electrophysiology
    • Medical Imaging and Signal Processing

    Background:

    • Electroanatomical mapping (EAM) systems guide catheter ablation for arrhythmias.
    • Identifying ablation targets relies on manually locating earliest activation sites from electrogram (EGM) signals.
    • Manual EGM analysis is time-consuming, experience-dependent, and prone to errors during procedures.

    Purpose of the Study:

    • To develop and evaluate an automatic delineation strategy for identifying EGM signal onset in activation mapping.
    • To reduce manual effort and potential errors in EAM-guided catheter ablation.

    Main Methods:

    • A novel automatic delineation strategy combining electrocardiogram (ECG) and wavelet decomposition of EGM signal envelopes.
    • Evaluation using 14 EAMs from 10 patients with premature ventricular contractions (PVCs).
    • Comparison of automatic annotations against on-procedure and off-procedure manual annotations by expert technicians.

    Main Results:

    • The automatic method demonstrated a significant correlation (0.95, p < 0.01) with the combined off-procedure manual annotations.
    • The mean error of automatic annotations was 2.1 ± 10.9 ms, comparable to on-procedure manual annotations (-2.6 ± 6.8 ms).

    Conclusions:

    • The proposed automatic delineation strategy accurately identifies EGM signal onset for activation mapping.
    • This methodology has the potential to be integrated into EAM systems to decrease procedural time and improve accuracy during ablation interventions.