Related Experiment Video
Updated: May 30, 2025

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
Published on: April 11, 2025
Ventricular Depolarization Abnormalities and Their Role in Cardiac Risk Stratification - A Narrative Review
Maarten Blondeel1, Tomas Robyns1,2, Rik Willems1,2
1Department of Cardiovasculair Sciences, KU Leuven, 3000 Leuven, Belgium.
Insights
This review explores electrocardiogram (ECG) techniques for assessing abnormal ventricular depolarization, crucial for diagnosing cardiac conditions and stratifying patient risk. Automated analyses offer improved accuracy and efficiency over visual interpretation.
Area of Science:
- Cardiology
- Medical Diagnostics
- Biomedical Engineering
Background:
- Ventricular depolarization, observed as the QRS complex on an ECG, is vital for cardiac function.
- Abnormalities in ventricular depolarization can signify various heart pathologies and are key for cardiac risk stratification.
- Assessing these abnormalities aids in identifying high-risk patients for tailored interventions.
Purpose of the Study:
- To review techniques for assessing abnormal ventricular depolarization using ECG.
- To evaluate their diagnostic value for specific cardiac conditions.
- To highlight their role in risk stratification and guiding therapeutic decisions.
Main Methods:
- Review of established and emerging ECG analysis techniques for ventricular depolarization.
- Inclusion of methods assessing direct QRS alterations (e.g., bundle branch blocks, delta waves).
- Consideration of metrics for myocardial scarring (e.g., QRS micro-fragmentation, QRS-scoring) and late depolarizations (e.g., signal-averaged ECG).
Main Results:
- Various ECG techniques can identify depolarization abnormalities linked to specific cardiac conditions.
- These assessments are valuable for cardiac risk stratification and treatment guidance.
- Automated analyses like QRS micro-fragmentation overcome limitations of visual interpretation, reducing bias and enabling large-scale studies.
Conclusions:
- Abnormal ventricular depolarization assessment via ECG is critical for diagnosing cardiac conditions and stratifying risk.
- Emerging automated techniques offer enhanced accuracy and objectivity compared to traditional visual interpretation.
- These advancements facilitate more precise patient management and large-scale cardiovascular research.
Abstract:
Ventricular depolarization refers to the electrical activation and subsequent contraction of the ventricles, visible as the QRS complex on a 12-lead electrocardiogram (ECG). A well-organized and efficient depolarization is critical for cardiac function. Abnormalities in ventricular depolarization may indicate various pathologies and can be present in all leads if the condition is general, or in a subgroup of anatomically contiguous leads if the condition is limited to the corresponding anatomic location of the heart. Furthermore, the assessment of depolarization abnormalities on the ECG may either be identified visually or this may depend on further processing. In recent decades, assessment of depolarization abnormalities has received a lot of attention for cardiac risk stratification. This risk stratification aims to identify patients at high risk of adverse cardiac events, to tailor preventive or therapeutic interventions. In this review, we provide an oversight of different techniques for assessing abnormal ventricular depolarization and their value in diagnosing certain conditions, in risk stratification of adverse events, and in guiding therapeutic decisions. This includes QRS alterations directly corresponding to cardiac conditions, such as bundle branch blocks, or the presence of a delta wave, and also metrics aiming to qualitatively or quantitatively assess myocardial scarring, such as QRS (micro)fragmentation and QRS-scoring, and techniques assessing abnormal late depolarizations, such as signal-averaged ECG. While most established assessments of abnormal depolarization rely on human interpretation and are limited by visual detection, recently introduced analyses, such as QRS micro-fragmentation, aim to tackle these limitations. Besides eliminating bias, these automated analyses bypass the need for human interpretation, thereby paving the way for large population studies.
More Related Videos
09:35Preclinical Cardiac Electrophysiology Assessment by Dual Voltage and Calcium Optical Mapping of Human Organotypic Cardiac Slices
Published on: June 16, 2020
14:39Isolation and Functional Characterization of Human Ventricular Cardiomyocytes from Fresh Surgical Samples
Published on: April 21, 2014
Related Concept Videos
Cardiac Action Potential
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
Mechanism of Cardiac Arrhythmias
Electrophysiology of Normal Cardiac Rhythm
Disturbances in Heart Rhythm
Arrhythmias are categorized by their speed, rhythm, and origin. A slow...
Electrocardiogram Fundamentals
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...
Electrocardiogram
Three major waveforms are present in a typical ECG recording: the P wave, the QRS complex, and...