A new on-line electrocardiographic records database and computer routines for data analysis

Area of Science:

• Biomedical Engineering
• Cardiology
• Medical Informatics

Background:

• Acquiring experimental data for validating computational methods is resource-intensive.
• Existing online electrocardiogram (ECG) databases are limited in scope and coverage of pathologies.
• Researchers, especially those with limited resources, require accessible and comprehensive ECG data.

Purpose of the Study:

• To introduce a novel online portal aggregating ECG databases for research.
• To provide researchers with readily available ECG data and signal processing tools.
• To facilitate the development of advanced computational methods for cardiac analysis.

Main Methods:

• Compilation of four distinct ECG databases: ischemic cardiopathy, ischemic preconditioning, diabetes, and metabolic syndrome.
• Inclusion of signal processing software, including routines for data reading, digital filters, and ECG wave detectors.
• Development of an accessible online platform for data and software dissemination.

Main Results:

• The initial portal release features 170 patient records across four cardiovascular conditions.
• Associated software facilitates efficient reading and processing of the provided ECG signals.
• The portal serves as a centralized, free resource for the scientific community.

Conclusions:

• The online ECG database portal offers a valuable resource, mitigating data collection challenges.
• It supports the advancement of research in cardiac electrophysiology and computational diagnostics.
• The platform is designed for continuous expansion with additional datasets and software functionalities.