ArticleCirculation. Arrhythmia and electrophysiology2020
Prospective Assessment of an Automated Intraprocedural 12-Lead ECG-Based System for Localization of Early Left Ventricular Activation.
Article in Circulation. Arrhythmia and electrophysiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- AI-Based QRS Onset Detection in the Early Ventricular Activation Site ECGs.IEEE journal of biomedical and health informatics · 2026Article
- Machine Learning Localization of Early Right Ventricular Activation Sites Using QRS Integral Features.Annals of biomedical engineering · 2026Article
- Assessment of Intraprocedural Automated Arrhythmia Origin Localization System for Localizing Pacing Sites in 3D Space.JACC. Clinical electrophysiology · 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
- A "two-step classification" machine learning method for non-invasive localization of premature ventricular contraction origins based on 12-lead ECG.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2024Article
- Optimization of a 12-Lead Electrocardiography Subset for Automated Early Left Ventricular Activation Localization Approach Based on Pace-Mapping Technology.The Canadian journal of cardiology · 2023Article
- Improving localization accuracy for non-invasive automated early left ventricular origin localization approach.Frontiers in physiology · 2023Article
- Catheter ablation of ventricular tachycardia: strategies to improve outcomes.Frontiers in cardiovascular medicine · 2023Review
- From evidence-based medicine to digital twin technology for predicting ventricular tachycardia in ischaemic cardiomyopathy.Journal of the Royal Society, Interface · 2022Article
- Big Data in electrophysiology.Herzschrittmachertherapie & Elektrophysiologie · 2022Review
- Assessment of an ECG-Based System for Localizing Ventricular Arrhythmias in Patients With Structural Heart Disease.Journal of the American Heart Association · 2021Article
- Prospective Multicenter Assessment of a New Intraprocedural Automated System for Localizing Idiopathic Ventricular Arrhythmia Origins.JACC. Clinical electrophysiology · 2021Article
- Feasibility study shows concordance between image-based virtual-heart ablation targets and predicted ECG-based arrhythmia exit-sites.Pacing and clinical electrophysiology : PACE · 2021Article
- Machine Learning in Arrhythmia and Electrophysiology.Circulation research · 2021Review
- Translational applications of computational modelling for patients with cardiac arrhythmias.Heart (British Cardiac Society) · 2020Review
Corrections and comments
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Authors and funding
16 authors.
Funding
Abstract
backgroundTo facilitate ablation of ventricular tachycardia (VT), an automated localization system to identify the site of origin of left ventricular activation in real time using the 12-lead ECG was developed. The objective of this study was to prospectively assess its accuracy.
methodsThe automated site of origin localization system consists of 3 steps: (1) localization of ventricular segment based on population templates, (2) population-based localization within a segment, and (3) patient-specific site localization. Localization error was assessed by the distance between the known reference site and the estimated site.
resultsIn 19 patients undergoing 21 catheter ablation procedures of scar-related VT, site of origin localization accuracy was estimated using 552 left ventricular endocardial pacing sites pooled together and 25 VT-exit sites identified by contact mapping. For the 25 VT-exit sites, localization error of the population-based localization steps was within 10 mm. Patient-specific site localization achieved accuracy of within 3.5 mm after including up to 11 pacing (training) sites. Using 3 remotes (67.8±17.0 mm from the reference VT-exit site), and then 5 close pacing sites, resulted in localization error of 7.2±4.1 mm for the 25 identified VT-exit sites. In 2 emulated clinical procedure with 2 induced VTs, the site of origin localization system achieved accuracy within 4 mm.
conclusionsIn this prospective validation study, the automated localization system achieved estimated accuracy within 10 mm and could thus provide clinical utility.
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