Key result
A manually annotated open-source ECG database was created from 39 patients with congenital heart disease, containing 113,924 beats including various arrhythmias and paced beats.
Why the study?
ECG interpretation is increasingly complemented by algorithms that require large datasets, prompting the creation of a manually annotated open-source ECG database for children and patients with congenital heart defect.
This open-source database provides a foundation for developing ECG algorithms aimed at detecting arrhythmias in children and patients with congenital heart disease.
BACKGROUND: Interpretation of Electrocardiogramms (ECG) is increasingly complemented by algorithms. These algorithms are based on large datasets. Here we present a first manually annotated open-source ECG-database of children and adults with congenital heart defect (CHD) with arrhythmia annotations. Methods: Raw signal data (ECG and intracardiac electrograms) were extracted from children and patients with CHD undergoing electrophysiological studies (EPS). The dataset is provided in the WaveForm Database (WFDB) format. Annotations were manually annotated using the LightWAVE® software. Results: The dataset consists of 39 ECGs of 39 patients (length ranging from 00:01:17 hours to 02:30:31 hours). In total 113924 beats were annotated. Normal sinus rhythm beats are the majority (33%), but the database contains also sinus rhythm beats with Preexcitation (12%) or complete right bundle branch block (11%). Supraventricular tachycardias (23%) are subdivided into atrioventricular reentrant tachycardias (AVRT; 15.5%) and atrioventricular nodal reentrant tachycardias (AVNRT; 7.5%). Also ventricular tachycardias (1.7%) and rare conditions as aberrated AVRT, aberrated AVNRT or AVNRT with 2nd degree heart block are represented. 12% of all beats are paced beats (7% atrial paced beats and 5% ventricular paced beats) and 7% are premature beats, as premature ventricular beats, premature atrial beats and preexcited premature atrial beats. Conclusion: This open-source database (https://physionet.org/content/leipzig-heart-center-ecg) containing many pathologies in children and patients with CHD may provide a foundation for ECG algorithms aimed at detecting ECG pathologies in this special patient population. .
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Klehs et al. (2026) studied Congenital heart defect and arrhythmias (n=39). Open-source ECG database creation was evaluated on Distribution of annotated beats and rhythm types. A manually annotated open-source ECG database was created from 39 patients with congenital heart disease, containing 113,924 beats including various arrhythmias and paced beats.
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