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Comput Cardiol (2010). 2016 Sep;43:325-328. Epub 2017 Mar 02.

The Consortium for Electrocardiographic Imaging.

Computing in cardiology

Jaume Coll-Font, Jwala Dhamala, Danila Potyagaylo, Walther Hw Schulze, Jess D Tate, Maria S Guillem, Peter van Dam, Olaf Dossel, Dana H Brooks, Rob S Macleod

Affiliations

  1. B-SPIRAL Group, ECE Dept., Northeastern University, Boston (MA), USA.
  2. Rochester Institute of Technology, Rochester (NY), USA.
  3. Karlsruhe Institute of Technology, Karlsruhe, Germany.
  4. SCI Institute Bioengineering Dept. University of Utah, Salt Lake City, (UT), USA.
  5. Universitat Politècnica de València, Valencia, Spain.
  6. Radboud University Medical Center, Nijmegen, The Netherlands.

PMID: 28451592 PMCID: PMC5404701

Abstract

Electrocardiographic imaging (ECGI) has recently gained attention as a viable diagnostic tool for reconstructing cardiac electrical activity in normal hearts as well as in cardiac arrhythmias. However, progress has been limited by the lack of both standards and unbiased comparisons of approaches and techniques across the community, as well as the consequent difficulty of effective collaboration across research groups.. To address these limitations, we created the Consortium for Electrocardiographic Imaging (CEI), with the objective of facilitating collaboration across the research community in ECGI and creating standards for comparisons and reproducibility. Here we introduce CEI and describe its two main efforts, the creation of EDGAR, a public data repository, and the organization of three collaborative workgroups that address key components and applications in ECGI. Both EDGAR and the workgroups will facilitate the sharing of ideas, data and methods across the ECGI community and thus address the current lack of reproducibility, broad collaboration, and unbiased comparisons.

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Publication Types

Grant support