Experimental Data and Geometric Analysis Repository-EDGAR.

Area of Science:

• Cardiovascular Research
• Biomedical Imaging
• Computational Biology

Background:

• Electrocardiographic Imaging (ECGI) requires curated datasets for technique validation.
• The Consortium for ECG Imaging (CEI) developed the Experimental Data and Geometric Analysis Repository (EDGAR) to address this need.
• EDGAR aims to provide broad access to diverse datasets and a standardized format for data exchange.

Purpose of the Study:

• To establish an online repository for experimental, clinical, and simulation data relevant to ECGI.
• To create a standardized information format for the exchange of cardiac electrophysiology and geometric data.
• To foster a collaborative environment for ECGI research.

Main Methods:

• The EDGAR system comprises a metadata model and a web interface.
• The metadata model includes descriptive parameters, cardiac and body-surface time signals, and geometric information (images, models, locations).
• The web interface facilitates efficient searching, browsing, and retrieval of repository data.

Main Results:

• EDGAR aggregates experimental data from animal studies (University of Utah).
• Clinical data from human subjects (Charles University Hospital) are available.
• Computer simulation data (Karlsruhe Institute of Technology) are included.

Conclusions:

• EDGAR serves as a crucial resource for the international research community.
• It promotes the sharing and distribution of cardiac electrophysiology data and geometric models.
• The repository is expected to advance the application and validation of ECGI techniques.