Research output

Support vector machine-based assessment of the T-wave morphology improves long QT syndrome diagnosis

Research output: Contribution to journalArticleAcademicpeer-review

Associated researcher

Associated organisations

    Research areas

  • QT-interval, T-wave, Morphology, Long QT syndrome, Machine learning, INTERVAL, REGULARIZATION
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Details

Original languageEnglish
Pages (from-to)113-119
Number of pages7
JournalEuropace
Volume20
DOIs
Publication statusPublished - Nov 2018
Event9th Theo Rossi di Montelera (TRM) Forum on Computer Simulation and Experimental Assessment of Cardiac Function: From Model to Clinical Outcome - Ctr Computat Med Cardiol, Lugano, SWITZERLAND, Lugano, Switzerland
Duration: 4 Dec 20175 Dec 2017