What is the clinical evidence from this study?

Study design: Other. Population: Cardiac arrhythmias (n=100). Intervention: Intracardiac and surface ECG recording. Primary outcome: Database creation.

December 31, 2022

Arrhythmia Database with Annotated Intracardial Atrial Signals from Pediatric Patients Undergoing Catheter Ablation

RŘRichard ŘedinaBrno University of Technology JHJakub HejčUniversity Hospital Brno DPDavid PospíšilMasaryk University

Key Result

A new database containing 326 annotated intracardiac and surface ECG records from 100 pediatric patients with various arrhythmias was created to support research in signal processing.

Structured PICO

Population

100 pediatric patients aged 12 to 17 years undergoing electrophysiological procedures for arrhythmias, contributing 326 annotated ECG records.

Exposure

Creation of an arrhythmia database containing simultaneously recorded 12-lead surface and 5-lead intracardiac ECGs with global and local annotations.

The creation of a high-resolution, annotated intracardiac and surface ECG database from pediatric patients provides a unique resource for developing advanced arrhythmia detection and ECG delineation algorithms.

Limitations

Does not capture arrhythmias common in the adult population, such as atrial fibrillation

Abstract

Conventional surface ECG analysis has brought a breakthrough in the diagnosis of heart diseases in the last century.With improvements in technology, doctors are now able to read ECGs using catheters placed directly in the heart.Signals obtained in this way may herald a further shift in diagnostic capabilities.Early detection of cardiac arrhythmias is still one of the challenges in medicine.For this task, intracardiac ECG recordings from presented database can be a valuable source of information.The recordings were obtained during electrophysiological procedures on paediatric patients with arrhythmias.The database consists of a total of 326 records, from one hundred patients.For each record, global annotation with arrhythmia findings and local annotations with atrial activity onset/offset are available.Annotations capturing atrial activity were manually created by the experienced electrophysiologists.A large proportion of the records (n = 191) contain only sinus rhythm.Ventricular preexcitation (n = 58) and atrial premature beat (n = 47) were the most common findings in the database.We hope that the database presented in the paper will open new possibilities in the research of cardiac arrhythmias as well as in the improvement of wave detection in ECG or in the overall ECG delineation.

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