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Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

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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EchoAGE: Echocardiography-based Neural Network Model Forecasting Heart Biological Age.

Anastasia A Kobelyatskaya1,2, Zulfiya G Guvatova2, Olga N Tkacheva1

  • 1Russian Clinical Research Center for Gerontology, Pirogov Russian National Research Medical University, Ministry of Healthcare of the Russian Federation, Moscow 129226, Russia.

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Summary
This summary is machine-generated.

We developed EchoAGE, a neural network model using echocardiographic data to accurately estimate heart biological age. This tool offers a personalized health assessment beyond chronological age.

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Area of Science:

  • Cardiology
  • Biomedical Engineering
  • Artificial Intelligence

Background:

  • Biological age offers a personalized health metric distinct from chronological age.
  • Previous efforts to estimate biological age utilized diverse biomedical data.
  • Assessing heart health specifically requires tailored approaches.

Purpose of the Study:

  • To develop a novel method for estimating heart biological age.
  • To utilize echocardiographic data for a precise biological age assessment.
  • To create a validated model applicable across various patient groups.

Main Methods:

  • A neural network model, EchoAGE, was developed using echocardiographic data from over 5,000 cases.
  • The model was trained on indicators including E/A ratio, wall thickness, cardiac output, and relative wall thickness.
  • An AI explanation algorithm was employed to enhance model interpretability.

Main Results:

  • EchoAGE accurately estimates heart biological age with a Mean Absolute Error of ~3.5 years.
  • The model achieved an R-squared value of ~0.88 and a Spearman's correlation coefficient >0.9.
  • Validation was performed on diverse cohorts, including patients with age-related diseases and children with progeria.

Conclusions:

  • EchoAGE provides a reliable and accurate estimation of heart biological age from echocardiograms.
  • The model demonstrates potential for personalized cardiovascular health monitoring.
  • Understanding model predictions through AI explanation aids clinical application.