Tate Jess, van Dam Eelco, Good Wilson, Bergquist Jake, van Dam Peter, MacLeod Rob
University of Utah, Salt Lake City, Utah, USA.
PEACS, The Netherlands.
Comput Cardiol (2010). 2019 Sep;46. doi: 10.22489/cinc.2019.437. Epub 2020 Feb 24.
The Consortium for ECG Imaging (CEI) has formed several collaborative projects to evaluate and improve technical aspects of Electrocardiographic Imaging (ECGI), but these efforts are not yet implemented into an integrated software framework. We developed a framework to unify the multiple techniques and stages of ECGI into one pipeline. This framework merges existing open source packages: SCIRun, a problem solving environment; the Forward/Inverse toolkit, a series of SCIRun modules for ECGI; and PFEIFER, a cardiac signal pre-processing tool. The Unified ECGI Toolkit (UETK), combined with the EDGAR dataset, allows users to test and validate a vast array of parameters within each stage of the ECGI pipeline. We expect that this unified tool will help introduce new researchers to ECGI, facilitate interaction between the various groups working on ECGI, and establish a common approach for researchers to test and validate their ECGI techniques.
心电图成像联盟（CEI）已经开展了多个合作项目，以评估和改进心电图成像（ECGI）的技术方面，但这些工作尚未集成到一个综合软件框架中。我们开发了一个框架，将ECGI的多种技术和阶段统一到一个流程中。该框架合并了现有的开源软件包：SCIRun，一个问题解决环境；正向/逆向工具包，一系列用于ECGI的SCIRun模块；以及PFEIFER，一个心脏信号预处理工具。统一的ECGI工具包（UETK）与EDGAR数据集相结合，允许用户在ECGI流程的每个阶段测试和验证大量参数。我们期望这个统一的工具将有助于向新研究人员介绍ECGI，促进从事ECGI研究的各个团队之间的互动，并为研究人员建立一种测试和验证其ECGI技术的通用方法。
