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

Abstract

Authors

• Ben J M Hermans
  Department of Biomedical Engineering, Maastricht University, PO Box 616, 6200 MD Maastricht, The Netherlands.
• Frank C Bennis
  Department of Biomedical Engineering, Maastricht University, PO Box 616, 6200 MD, Maastricht, Netherlands. MHeNS School for Mental Health and Neuroscience, Maastricht University, PO Box 616, 6200 MD, Maastricht, Netherlands.
• Arja S Vink
  Heart Centre, Department of Clinical and Experimental Cardiology, Academic Medical Center, DD Amsterdam, the Netherlands.
• Tijmen Koopsen
  Department of Biomedical Engineering, Maastricht University, Maastricht, The Netherlands; Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands.
• Aurore Lyon
  Department of Computer Science, British Heart Foundation, Oxford, UK aurore.lyon@cs.ox.ac.uk.
• Arthur A M Wilde
  European Reference Network for Rare, Low Prevalence and Complex Diseases of the Heart: ERN GUARD-Heart (P.D.L., A.A.M.W.).
• Dieter Nuyens
  Department of Cardiology, Ziekenhuis Oost-Limburg, Genk, Belgium.
• Tomas Robyns
  Department of Cardiovascular Diseases, University Hospitals Leuven, Leuven, Belgium.
• Laurent Pison
  Department of Cardiology, Maastricht University Medical Centre, AZ Maastricht, The Netherlands.
• Pieter G Postema
  Heart Centre, Department of Clinical and Experimental Cardiology, Academic Medical Center, DD Amsterdam, the Netherlands.
• Tammo Delhaas

Keywords

External Resources