ArticleEuropace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology2020
Electrocardiographic imaging for cardiac arrhythmias and resynchronization therapy.
Article in Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.
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Who cites it
27 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.
- Systematic review of computational techniques, dataset utilization, and feature extraction in electrocardiographic imaging.Medical & biological engineering & computing · 2025Pooled it
- Atrial Fibrillation Burden: Assessment, Clinical Significance, and Therapeutic Implications.Life (Basel, Switzerland) · 2026Review
- Body surface potential driven personalisation of electrophysiological digital twins in hypertrophic cardiomyopathy.PLoS computational biology · 2026Article
- Self-supervised representation learning reveals explainable physiological structure in high-dimensional magnetocardiography.NPJ digital medicine · 2026Article
- A Review of the Forward Problem in Electrocardiographic Imaging.Journal of imaging · 2026Review
- Volumetric non-invasive cardiac mapping for accessible global arrhythmia characterization.Communications medicine · 2026Article
- High frame rate speckle tracking echocardiography to image the left ventricular mechanical activation sequence in healthy participants and patients with left bundle branch block.European heart journal. Imaging methods and practice · 2026Article
- Implementation of lead V8 as a simple non-invasive tool to improve patient selection in cardiac resynchronization therapy and guide left ventricular lead placement.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2025Article
- Artificial intelligence-based accurate myocardial infarction mapping using 12-lead electrocardiography.European heart journal. Digital health · 2025Article
- EFFECTS OF TORSO IMPEDANCE ON IN SILICO VOLTAGE MAPPING OF CARDIAC DIPOLES OF ROTORS.Annual Modeling and Simulation Conference (ANNSIM). Annual Modeling and Simulation Conference (Online) · 2025Article
- Interpretable manifold learning for T-wave alternans assessment with electrocardiographic imaging.Engineering applications of artificial intelligence · 2025Article
- Noninvasive electrocardiographic imaging assessment of conduction system pacing: A novel algorithm to assess intraventricular synchrony.Heart rhythm O2 · 2025Article
- A Deep Learning Approach Toward Differentiating Left versus Right for Idiopathic Ventricular Arrhythmia Originated from Outflow Tract.Journal of medical signals and sensors · 2025Article
- Reconstruction of excitation waves from mechanical deformation using physics-informed neural networks.Scientific reports · 2024Article
- Arrhythmia detection by the graph convolution network and a proposed structure for communication between cardiac leads.BMC medical research methodology · 2024Article
- Non-Invasive Electroanatomical Mapping: A State-Space Approach for Myocardial Current Density Estimation.Bioengineering (Basel, Switzerland) · 2023Article
- Successful Noninvasive 12-Lead ECG Mapping-Guided Radiotherapy of Inaccessible Ventricular Tachycardia Substrate Due to Mechanical Valves.JACC. Case reports · 2023Article
- Trigger and Substrate Mapping and Ablation for Ventricular Fibrillation in the Structurally Normal Heart.Journal of cardiovascular development and disease · 2023Review
- Electrocardiographic imaging in the atria.Medical & biological engineering & computing · 2023Review
- Influence of the Tikhonov Regularization Parameter on the Accuracy of the Inverse Problem in Electrocardiography.Sensors (Basel, Switzerland) · 2023Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Use of the 12-lead electrocardiogram (ECG) is fundamental for the assessment of heart disease, including arrhythmias, but cannot always reveal the underlying mechanism or the location of the arrhythmia origin. Electrocardiographic imaging (ECGi) is a non-invasive multi-lead ECG-type imaging tool that enhances conventional 12-lead ECG. Although it is an established technology, its continuous development has been shown to assist in arrhythmic activation mapping and provide insights into the mechanism of cardiac resynchronization therapy (CRT). This review addresses the validity, reliability, and overall feasibility of ECGi for use in a diverse range of arrhythmias. A systematic search limited to full-text human studies published in peer-reviewed journals was performed through Medline via PubMed, using various combinations of three key concepts: ECGi, arrhythmia, and CRT. A total of 456 studies were screened through titles and abstracts. Ultimately, 42 studies were included for literature review. Evidence to date suggests that ECGi can be used to provide diagnostic insights regarding the mechanistic basis of arrhythmias and the location of arrhythmia origin. Furthermore, ECGi can yield valuable information to guide therapeutic decision-making, including during CRT. Several studies have used ECGi as a diagnostic tool for atrial and ventricular arrhythmias. More recently, studies have tested the value of this technique in predicting outcomes of CRT. As a non-invasive method for assessing cardiovascular disease, particularly arrhythmias, ECGi represents a significant advancement over standard procedures in contemporary cardiology. Its full potential has yet to be fully explored.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.