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Related Concept Videos

Electrocardiogram Fundamentals01:28

Electrocardiogram Fundamentals

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
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Electrostatic Boundary Conditions01:16

Electrostatic Boundary Conditions

Consider an external electric field propagating through a homogeneous medium. When the electric field crosses the surface boundary of the medium, it undergoes a discontinuity. The electric field can be resolved into normal and tangential components. The amount by which the field changes at any boundary is given by the difference between the field components above and below the surface boundary.
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Electrocardiogram01:29

Electrocardiogram

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.
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Imaging Studies for Cardiovascular System I:Echocardiography01:17

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In Silico Clinical Trials for Cardiovascular Disease
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Cardiac position sensitivity study in the electrocardiographic forward problem using stochastic collocation and

Darrell J Swenson1, Sarah E Geneser, Jeroen G Stinstra

  • 1Department of Bioengineering, University of Utah, Salt Lake City, UT, USA. darrell@sci.utah.edu

Annals of Biomedical Engineering
|September 13, 2011
PubMed
Summary
This summary is machine-generated.

Heart position changes significantly impact electrocardiogram (ECG) readings, potentially masking or mimicking myocardial ischemia. This study quantifies these effects, suggesting protocol adjustments to improve diagnostic accuracy.

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Published on: January 8, 2013

Area of Science:

  • Biomedical Engineering
  • Cardiology
  • Computational Electrophysiology

Background:

  • Electrocardiogram (ECG) is crucial for diagnosing cardiac conditions.
  • Positional changes and respiration affect body-surface potentials, influencing ECG.
  • Limited quantitative studies exist on heart displacement's ECG impact, especially in myocardial ischemia.

Purpose of the Study:

  • To quantitatively evaluate the impact of heart positional changes on the ECG.
  • To assess these effects specifically within the context of myocardial ischemia.
  • To identify body-surface regions sensitive to heart motion.

Main Methods:

  • Utilized a generalized polynomial chaos-stochastic collocation method.
  • Applied this statistical approach to a boundary element formulation of the ECG forward problem.
  • Drove simulations using measured epicardial potentials from whole-heart experiments.

Main Results:

  • Identified body-surface regions highly sensitive to realistic heart motion.
  • Standard deviation of ST-segment voltage changes due to normal heart apex motion was ~0.2 mV.
  • Variations reached ~0.3 mV for hearts with elevated ischemic potentials, potentially masking or mimicking ischemia.

Conclusions:

  • Heart displacement significantly alters ECGs, posing a diagnostic challenge for myocardial ischemia.
  • Identified specific voltage variations caused by heart motion.
  • Results suggest modifying ECG protocols to mitigate diagnostic errors related to patient posture.