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Article

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

Heart rhythm - 1 May 2020

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

Abstract excerpt

BACKGROUND: Diagnosing long QT syndrome (LQTS) remains challenging because of a considerable overlap in QT interval between patients with LQTS and healthy subjects. Characterizing T-wave morphology might improve LQTS diagnosis. OBJECTIVE: The purpose of this study was to improve LQTS diagnosis by combining new polynomial-based T-wave morphology parameters with the corrected QT interval (QTc), age, and sex in a...

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Identifiers

PMID: 31917370
DOI: 10.1016/j.hrthm.2019.12.020

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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