ElectroMap: High-throughput open-source software for analysis and mapping of cardiac electrophysiology

Christopher O'Shea, Andrew P Holmes, Ting Y Yu, James Winter, Simon P Wells, Joao Correia, Bastiaan J Boukens, Joris R De Groot, Gavin S Chu, Xin Li, G Andre Ng, Paulus Kirchhof, Larissa Fabritz, Kashif Rajpoot, Davor Pavlovic

Research output: Contribution to journalArticleAcademicpeer-review

48 Citations (Scopus)

Abstract

The ability to record and analyse electrical behaviour across the heart using optical and electrode mapping has revolutionised cardiac research. However, wider uptake of these technologies is constrained by the lack of multi-functional and robustly characterised analysis and mapping software. We present ElectroMap, an adaptable, high-throughput, open-source software for processing, analysis and mapping of complex electrophysiology datasets from diverse experimental models and acquisition modalities. Key innovation is development of standalone module for quantification of conduction velocity, employing multiple methodologies, currently not widely available to researchers. ElectroMap has also been designed to support multiple methodologies for accurate calculation of activation, repolarisation, arrhythmia detection, calcium handling and beat-to-beat heterogeneity. ElectroMap implements automated signal segmentation, ensemble averaging and integrates optogenetic approaches. Here we employ ElectroMap for analysis, mapping and detection of pro-arrhythmic phenomena in silico, in cellulo, animal model and in vivo patient datasets. We anticipate that ElectroMap will accelerate innovative cardiac research and enhance the uptake, application and interpretation of mapping technologies leading to novel approaches for arrhythmia prevention.

Original languageEnglish
Pages (from-to)1389
JournalScientific reports
Volume9
Issue number1
DOIs
Publication statusPublished - 4 Feb 2019

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