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J Electrocardiol. 2015 Nov-Dec;48(6):975-81. doi: 10.1016/j.jelectrocard.2015.08.008. Epub 2015 Aug 4.

Experimental Data and Geometric Analysis Repository-EDGAR.

Author information

1
Bioengineering Department, Scientific Computing and Imaging Institute (SCI), Cardiovascular Research and Training Institute (CVRTI), University of Utah, Salt Lake City, UT, USA. Electronic address: kedar.aras@gmail.com.
2
Bioengineering Department, Scientific Computing and Imaging Institute (SCI), Cardiovascular Research and Training Institute (CVRTI), University of Utah, Salt Lake City, UT, USA.
3
Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA.
4
Institute of Biomedical Engineering, Karlsruhe Institute of Technology, Karlsruhe, Germany.
5
Program of Computing and Information Sciences, Rochester Institute of Technology, Rochester, NY, USA.
6
Radboud University, Nijmegen, The Netherlands; David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.

Abstract

INTRODUCTION:

The "Experimental Data and Geometric Analysis Repository", or EDGAR is an Internet-based archive of curated data that are freely distributed to the international research community for the application and validation of electrocardiographic imaging (ECGI) techniques. The EDGAR project is a collaborative effort by the Consortium for ECG Imaging (CEI, ecg-imaging.org), and focused on two specific aims. One aim is to host an online repository that provides access to a wide spectrum of data, and the second aim is to provide a standard information format for the exchange of these diverse datasets.

METHODS:

The EDGAR system is composed of two interrelated components: 1) a metadata model, which includes a set of descriptive parameters and information, time signals from both the cardiac source and body-surface, and extensive geometric information, including images, geometric models, and measure locations used during the data acquisition/generation; and 2) a web interface. This web interface provides efficient, search, browsing, and retrieval of data from the repository.

RESULTS:

An aggregation of experimental, clinical and simulation data from various centers is being made available through the EDGAR project including experimental data from animal studies provided by the University of Utah (USA), clinical data from multiple human subjects provided by the Charles University Hospital (Czech Republic), and computer simulation data provided by the Karlsruhe Institute of Technology (Germany).

CONCLUSIONS:

It is our hope that EDGAR will serve as a communal forum for sharing and distribution of cardiac electrophysiology data and geometric models for use in ECGI research.

KEYWORDS:

Database; ECG; Forward and inverse problems

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