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Related Concept Videos

Electrocardiogram01:29

Electrocardiogram

3.2K
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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Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

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The electrical signals recorded on an electrocardiogram (ECG) occur before the mechanical processes of contraction and relaxation during the cardiac cycle.
A cardiac action potential originates in the SA node and spreads throughout the atria and the AV node in approximately 0.03 seconds. This results in the P wave in an ECG and triggers atrial contraction. The action potential is then briefly slowed at the AV node, allowing the atria to contract and fill the ventricles with blood before...
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Related Experiment Video

Updated: Sep 7, 2025

In Silico Clinical Trials for Cardiovascular Disease
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A Patchwork Method to Improve the Performance of Current Methods for Solving the Inverse Problem of

Oumayma Bouhamama, Mark Potse, Laura Bear

    IEEE Transactions on Bio-Medical Engineering
    |June 20, 2022
    PubMed
    Summary

    The novel patchwork method (PM) improves noninvasive electrocardiographic imaging (ECGI) accuracy by combining algorithms. This new approach enhances cardiac electrical activity reconstruction, particularly for breakthrough sites during sinus rhythm.

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    Area of Science:

    • Biomedical Engineering
    • Computational Electrophysiology
    • Medical Imaging

    Background:

    • Noninvasive electrocardiographic imaging (ECGI) reconstructs cardiac electrical activity from body surface potentials.
    • Current ECGI methods show limitations in accurately reconstructing sinus rhythm and identifying breakthrough sites.

    Purpose of the Study:

    • To develop and evaluate a novel "patchwork method" (PM) that combines existing inverse algorithms for improved ECGI accuracy.
    • To address the limitations of traditional methods in reconstructing cardiac electrical activity and breakthrough sites.

    Main Methods:

    • The patchwork method (PM) integrates the method of fundamental solutions (MFS) and the finite-element method (FEM).
    • The PM selects the optimal reconstruction method at each heart node and time step based on the smallest residual in predicted torso potentials (computed via boundary element method - BEM).
    • Performance was assessed using simulated ectopic and normal ventricular beats, including analysis with added Gaussian noise.

    Main Results:

    • The PM yielded more accurate cardiac potentials and activation maps (CC = 0.63 ± 0.01 and 0.61 ± 0.05) compared to MFS, FEM, and BEM.
    • The PM successfully identified all epicardial breakthrough sites, outperforming traditional methods that often missed them.
    • The PM demonstrated robustness and stability when subjected to Gaussian noise in torso potential data.

    Conclusions:

    • The patchwork method (PM) overcomes limitations of classical ECGI numerical methods, enhancing the accuracy of mapping cardiac activation during sinus and paced beats.
    • This optimized ECGI solution offers a new pathway for advancing not only electrocardiographic imaging but also other inverse problems in science and medicine.