Article

A curated reference dataset and deep learning model for multi-lead electrocardiographic interval measurements in UK Biobank

2026-06-29

Abstract excerpt

Electrocardiographic (ECG) interval measurements underpin clinical decision-making and large-scale cardiovascular research, yet existing automated methods are often developed using small, heterogeneous datasets with limited expert annotation and uncertain generalisability to population cohorts. We developed a deep learning framework for automated PR, QRS, and QT interval estimation and established a large expert-c...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 15d41720-efca-5b23-979d-9635da962dbe
DOI: 10.64898/2026.06.26.26356665

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A curated reference dataset and deep learning model for multi-lead electrocardiographic interval measurements in UK BiobankDOI 10.64898/2026.06.26.26356665Read

Estimating ECG Intervals from Lead-I Alone: External Validation of Supervised ModelsSemantic proximity Read

Detecting QT prolongation From a Single-lead ECG With Deep LearningSemantic proximity Read

Deep representation learning of electrocardiogram reveals novel insights in cardiac structure and functions and connections to cardiovascular diseasesSemantic proximity Read

Wavelet Decomposition-Based Genomic Analysis of the Human ElectrocardiogramSemantic proximity Read

Deep learning enables diagnosis of atrial cardiomyopathy from routine 12-lead electrocardiogramSemantic proximity Read

Advances in Interpretation of Electrocardiogram by Artificial IntelligenceSemantic proximity Read

Electrocardiogram-Based Deep Learning for Time-Resolved Prediction of Heart Failure With Reduced Ejection Fraction: A Multinational StudySemantic proximity Read

Artificial intelligence–enabled electrocardiogram for mortality and cardiovascular risk estimation: An actionable, explainable and biologically plausible platformSemantic proximity Read

Foundation models for generalizable electrocardiogram interpretation: comparison of supervised and self-supervised electrocardiogram foundation modelsSemantic proximity Read

BRAVEHEART: Open-source software for automated electrocardiographic and vectorcardiographic analysisSemantic proximity Read

Prognostic Significance and Associations of Neural Network-Derived Electrocardiographic Features.Semantic proximity Read

Deep Learning of Electrocardiograms Enables Scalable Human Disease ProfilingSemantic proximity Read