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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...
1.6K
Electrocardiogram Fundamentals01:28

Electrocardiogram Fundamentals

431
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...
431

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Related Experiment Video

Updated: May 9, 2025

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
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Novel three-dimensional ECG algorithm for reliable screening for cardiac amyloidosis.

Amir A Mahabadi1, Jan Knobeloch2, Viktoria Backmann1

  • 1West German Heart and Vascular Center, Department of Cardiology and Vascular Medicine, University Hospital Essen, Essen, Germany.

ESC Heart Failure
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A new screening tool using 3D electrocardiograms (ECGs) shows promise for detecting cardiac amyloidosis. This non-invasive method aids in earlier diagnosis of this heart condition.

Keywords:
Cardiac amyloidosisDigital medicineElectrocardiogramScreeningVector loop

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Area of Science:

  • Cardiology
  • Medical Imaging
  • Artificial Intelligence

Background:

  • Cardiac amyloidosis diagnosis is often delayed due to the lack of established screening tools.
  • Early detection is crucial for timely intervention and improved patient outcomes.

Purpose of the Study:

  • To develop and validate a non-invasive screening tool for cardiac amyloidosis.
  • The tool utilizes structured evaluation of three-dimensional electrocardiograms (3D ECGs).

Main Methods:

  • A derivation cohort (66 amyloidosis cases, 89 controls) and a validation cohort (33 amyloidosis cases, 67 controls) were used.
  • A 3D ECG-based AI algorithm was trained on vector loop patterns.
  • The algorithm was tested on an independent validation cohort.

Main Results:

  • The AI algorithm achieved 85% sensitivity and 89% specificity in the derivation cohort.
  • In the validation cohort, the algorithm demonstrated 79% sensitivity and 82% specificity.
  • Positive and negative predictive values were 61% and 92% in the validation cohort, respectively.

Conclusions:

  • A novel, reliable screening tool for cardiac amyloidosis has been developed.
  • The tool leverages 3D ECG analysis for non-invasive detection.