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Related Concept Videos

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
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Electrocardiogram01:29

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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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Cardiac imaging studies encompass a wide range of noninvasive and minimally invasive techniques designed to visualize the heart's structure and function in detail. One such technique is echocardiography, which uses high-frequency ultrasound waves to produce detailed images of the heart, known as echocardiograms.
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Location and Orientation of the Heart01:13

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The human heart, despite its modest size and weight, is an organ of remarkable strength and endurance. Roughly the size of a fist, the heart weighs between 250 and 350 grams and is nestled within the mediastinum, the medial cavity of the thorax. It extends obliquely for about 12 to 14 cm, resting on the superior surface of the diaphragm. The heart is positioned anterior to the vertebral column and posterior to the sternum, with two-thirds of its mass lying to the left of the midsternal line.
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ECG Interpretation of Arrhythmias II: Atrial, Junctional and Ventricular Arrhythmias01:25

ECG Interpretation of Arrhythmias II: Atrial, Junctional and Ventricular Arrhythmias

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Arrhythmia is a condition characterized by an irregular heart rhythm, with ECG changes that differ based on its origin and nature. The types of arrhythmias discussed below include atrial, junctional, and ventricular arrhythmias.Atrial ArrhythmiasPremature Atrial Complexes (PACs): PACs are early atrial beats caused by stress, caffeine, alcohol, electrolyte imbalances, hypoxia, hyperthyroidism, or certain medications (e.g., bronchodilators and decongestants). The ECG shows early P waves with an...
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Heart Failure IV: Classification and Diagnostic Evaluation01:30

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Heart failure can be classified in various ways, with the most common classifications based on physical activity limitations, disease progression, severity, and treatment strategies.The Functional Classification of Heart Failure divides patients into four categories based on physical activity limitation due to symptom burden.Class I: Patients in this class have cardiac disease but no physical activity limitations. Ordinary activities like walking, climbing stairs, or routine tasks do not cause...
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Related Experiment Video

Updated: Apr 17, 2026

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
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Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System

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Optimizing Single-Lead Electrocardiogram Orientation Improves Detection of Left Ventricular Dysfunction.

Hisaki Makimoto1,2,3,4, Takayuki Okatani2, Masafumi Sato1

  • 1Division of Cardiovascular Medicine, Department of Medicine, Jichi Medical University School of Medicine.

Circulation Journal : Official Journal of the Japanese Circulation Society
|April 16, 2026
PubMed
Summary
This summary is machine-generated.

A new synthesized frontal vector from electrocardiograms (ECGs) can detect left ventricular (LV) dysfunction, approaching 12-lead ECG performance. This method uses standard limb electrodes for improved screening of reduced ejection fraction (LVEF).

Keywords:
ECG-AIElectrocardiogramHeart failureSingle leadVentricular dysfunction

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Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations
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Area of Science:

  • Cardiology
  • Medical Imaging
  • Artificial Intelligence

Background:

  • Single-lead electrocardiograms (ECGs) possess subtle indicators of left ventricular (LV) dysfunction.
  • Detecting reduced LV ejection fraction (LVEF) using standard limb leads remains challenging.

Purpose of the Study:

  • To investigate if a synthesized frontal-plane vector improves single-lead ECG detection of reduced LVEF.
  • To compare the performance of this synthesized vector against standard limb leads and 12-lead ECGs.

Main Methods:

  • Paired 12-lead ECGs and echocardiograms from three Japanese hospital cohorts were analyzed.
  • A derived lead (X) was synthesized from limb leads I and II using X(θ) = cosθ · I + sinθ · II.
  • A deep neural network was employed to detect LVEF <50% using beat-level predictions.
  • Area Under the Receiver Operating Characteristic curve (AUROC) was the primary performance metric.

Main Results:

  • Two optimal performance peaks for the synthesized lead were identified near 30° and 210°.
  • The 210° lead demonstrated consistent performance, matching or slightly exceeding lead aVR.
  • In external validation cohorts, the 210° lead achieved an AUROC of 0.863±0.031, comparable to 12-lead ECGs (0.872±0.024).

Conclusions:

  • A frontal vector near 210° enables single-lead detection of LV dysfunction with performance approaching 12-lead ECGs.
  • This strategy, utilizing standard limb electrodes, shows potential for facilitating LV dysfunction screening.
  • Further validation and mechanistic studies are recommended for clinical application.