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Related Concept Videos

Electrocardiogram01:29

Electrocardiogram

1.6K
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

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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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ECG Interpretation of Rhythms01:24

ECG Interpretation of Rhythms

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An electrocardiogram (ECG)graphically represents the heart's electrical activity on ECG paper or a monitor.
Components of the Electrocardiogram
The primary components of a normal ECG waveform in Normal sinus rhythm(NSR) include the P wave, PR interval, QRS complex, ST segment, T wave, and occasionally a U wave.
ECG waveforms are divided by vertical and horizontal lines at standard intervals.
The horizontal axis measures time and rate, and the vertical axis measures amplitude or voltage....
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Correlation between ECG and Cardiac Cycle01:24

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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Cardiac Action Potential01:30

Cardiac Action Potential

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Cardiac action potentials are essential for proper heart function, enabling the rhythmic contractions needed for adequate blood circulation. Nodal cells and Purkinje fibers, specialized for electrical conduction, generate these action potentials.
The cardiac action potential process involves a series of phases characterized by the movement of ions across the cardiac cell membranes, leading to the depolarization and repolarization of the cardiac myocytes.
Ionic Basis of Cardiac Action Potentials
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Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice
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Reference for Electrocardiographic Imaging-Based T-Wave Alternans Estimation.

Estela Sánchez-Carballo1, Francisco Manuel Melgarejo-Meseguer1, Ramya Vijayakumar2

  • 1Department of Signal Theory and Communications, Telematics, and Computing, Universidad Rey Juan Carlos, Fuenlabrada, 28942 Madrid, Spain.

IEEE Access : Practical Innovations, Open Solutions
|April 30, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a new reference for evaluating T-wave alternans detection methods, crucial for predicting sudden cardiac death. The developed methods improve accuracy in identifying these critical cardiac events.

Keywords:
Bootstrap resamplingT-wave alternansT-wave segmentationelectrocardiographic imagingreferencespatial-temporal study

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Area of Science:

  • Cardiology
  • Biomedical Engineering
  • Signal Processing

Background:

  • Sudden cardiac death (SCD) is a significant cause of mortality.
  • T-wave alternans (TWA) are reliable predictors of SCD.
  • Electrocardiographic imaging offers spatial-temporal insights but lacks specific references and segmentation methods for TWA analysis.

Purpose of the Study:

  • To develop a reference standard for evaluating TWA estimation methods.
  • To introduce a novel T-wave segmentation procedure for electrocardiographic imaging data.
  • To create a bootstrap-based classifier for TWA detection.

Main Methods:

  • A novel T-wave segmentation procedure was developed and compared to a standard method.
  • A spatial-temporal Gaussian function was used to integrate TWA into epicardial signals, creating a reference.
  • A bootstrap-based classifier was implemented for TWA detection.

Main Results:

  • The novel T-wave segmentation procedure demonstrated superior performance compared to the commonly used method.
  • The generated reference enabled the detection of TWA with amplitudes as low as approximately 0.15 mV amidst noise.
  • The developed classifier showed consistent performance, detecting TWA with amplitudes around 0.08 mV.

Conclusions:

  • This study provides a crucial spatial-temporal reference for evaluating TWA estimation methods.
  • The developed methods enhance the accuracy and reliability of TWA detection.
  • Establishing a gold standard for TWA analysis can aid in reducing SCD incidence.