Leipzig Heart Center ECG-Database: Arrhythmias in Children and Patients with Congenital Heart Disease

Interpretation of Electrocardiograms (ECG) is increasingly complemented by
algorithms. These algorithms are based on large datasets. This ECG database
consists of children and adults with congenital heart defects (CHD) including
many arrhythmia annotations. This dataset, notable for its manual annotations
and inclusion of intracardiac electrograms alongside traditional 12-lead ECGs,
offers 1075.85 minutes of recordings (in total 113924 annotated beats) that
capture various cardiac rhythms and arrhythmias such as supraventricular
tachycardia and ventricular tachycardia. The data were meticulously collected
from patients undergoing electrophysiological studies, with subsequent
annotations by expert reviewers using the LightWAVE® software. The
significance of this database lies in its focus on pediatric arrhythmias and
arrhythmias of patients with congenital heart defect areas currently
underrepresented in existing datasets, which predominantly feature adult
pathologies. This resource aims to enhance algorithmic development for ECG
interpretation, leveraging machine learning to improve diagnosis and treatment
outcomes in these sensitive groups. The dataset not only serves as a critical
tool for developing precision medicine but also sets a precedent for future
expansions to include a broader spectrum of congenital heart defects
conditions, thereby supporting the evolution of cardiac care through advanced
computational techniques.

心电图（Electrocardiogram, ECG）解读工作正日益依赖算法辅助。此类算法的开发依托于大型数据集。本心电图数据库纳入了患有先天性心脏缺陷（Congenital Heart Defects, CHD）的儿童与成人受试者，其中包含大量心律失常（arrhythmias）标注数据。该数据集以人工标注为核心特色，同时收录了心内心电图（intracardiac electrograms）与传统12导联心电图（12-lead ECGs），总计提供1075.85分钟的记录（共113924个标注心搏），涵盖各类心脏节律与心律失常，包括室上性心动过速（supraventricular tachycardia）与室性心动过速（ventricular tachycardia）。本数据集的采集工作严谨细致，源自接受心脏电生理检查（electrophysiological studies）的患者，后续由专家评审人员使用LightWAVE®软件完成标注。该数据库的核心价值在于其聚焦于儿童心律失常以及先天性心脏缺陷患者的心律失常——此类数据在现有以成人心脏病症为主的数据集当中代表性严重不足。本资源旨在推动心电图解读算法的研发，借助机器学习技术改善此类特殊人群的诊断与治疗效果。该数据集不仅是开发精准医学（precision medicine）的关键工具，同时也为未来纳入更广泛的先天性心脏缺陷病症类型奠定了先例，进而通过先进计算技术助力心脏诊疗的发展与演进。

搜集汇总

背景与挑战

背景概述

该数据集是Leipzig心脏中心的心电图数据库，专注于儿童和先天性心脏病患者的心律失常，包含1075.85分钟的ECG记录和113924个手动注释心跳，涵盖室上性心动过速等心律失常类型。其特点在于提供心内电图和手动注释，弥补了现有数据集中儿科和先天性心脏病领域的不足，旨在通过机器学习算法提升诊断精度和治疗效果，支持精准医疗发展。