2016
DOI: 10.1515/cdbme-2016-0041
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Automatic detection and mapping of double potentials in intracardiac electrograms

Abstract: Catheter ablation has become a very efficient strategy to terminate sustained cardiac arrhythmias like atrial flutter (AFlut). Identification of the optimal ablation spot, however, often proves difficult when scar from previous ablations is present. Although the application of electro-anatomical mapping systems allows to record thousands of intracardiac electrograms (EGMs) from each atrium, state-of-the-art techniques provide limited options for automatic signal processing. Goal of the presented research was t… Show more

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Cited by 2 publications
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“…As inputs to the GCN, we used a range of features reflecting properties relevant to identifying isthmus areas in SRRATs. [1][2][3] Although the automatic detection of double electrograms 23 and signal width has been reported, 24 the automatic calculation of LAT Range, FMLATD, power, signal percentage, double potential spacing, mean vector angle, and the distance to scar and/or block is novel to our knowledge.…”
Section: Model and Feature Generationmentioning
confidence: 99%
“…As inputs to the GCN, we used a range of features reflecting properties relevant to identifying isthmus areas in SRRATs. [1][2][3] Although the automatic detection of double electrograms 23 and signal width has been reported, 24 the automatic calculation of LAT Range, FMLATD, power, signal percentage, double potential spacing, mean vector angle, and the distance to scar and/or block is novel to our knowledge.…”
Section: Model and Feature Generationmentioning
confidence: 99%