Improving long QT syndrome diagnosis by a polynomial-based T-wave morphology characterization

Ben J. M. Hermans*, Frank C. Bennis, Arja S. Vink, Tijmen Koopsen, Aurore Lyon, Arthur A. M. Wilde, Dieter Nuyens, Tomas Robyns, Laurent Pison, Pieter G. Postema, Tammo Delhaas

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Original languageEnglish
Pages (from-to)752-758
Number of pages7
JournalHeart Rhythm
Volume17
Issue number5
DOIs
Publication statusPublished - May 2020

Keywords

  • Diagnosis
  • LQTS
  • Machine learning
  • QT
  • T-wave morphology
  • INTERVAL
  • FORMS

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