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

doi:10.1016/j.hrthm.2019.12.020

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 journal › Article › Academic › peer-review

Original language	English
Pages (from-to)	752-758
Number of pages	7
Journal	Heart Rhythm
Volume	17
Issue number	5
DOIs	https://doi.org/10.1016/j.hrthm.2019.12.020
Publication status	Published - May 2020

Keywords

Diagnosis
LQTS
Machine learning
QT
T-wave morphology
INTERVAL
FORMS

Access to Document

10.1016/j.hrthm.2019.12.020

Cite this

@article{a77b0c8b7c714109a6810d51e8ed91f4,

title = "Improving long QT syndrome diagnosis by a polynomial-based T-wave morphology characterization",

keywords = "Diagnosis, LQTS, Machine learning, QT, T-wave morphology, INTERVAL, FORMS",

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

year = "2020",

month = may,

doi = "10.1016/j.hrthm.2019.12.020",

language = "English",

volume = "17",

pages = "752--758",

journal = "Heart Rhythm",

issn = "1547-5271",

publisher = "Elsevier Science",

number = "5",

}

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

In: Heart Rhythm, Vol. 17, No. 5, 05.2020, p. 752-758.

Research output: Contribution to journal › Article › Academic › peer-review

TY - JOUR

T1 - Improving long QT syndrome diagnosis by a polynomial-based T-wave morphology characterization

AU - Hermans, Ben J. M.

AU - Bennis, Frank C.

AU - Vink, Arja S.

AU - Koopsen, Tijmen

AU - Lyon, Aurore

AU - Wilde, Arthur A. M.

AU - Nuyens, Dieter

AU - Robyns, Tomas

AU - Pison, Laurent

AU - Postema, Pieter G.

AU - Delhaas, Tammo

PY - 2020/5

Y1 - 2020/5

KW - Diagnosis

KW - LQTS

KW - Machine learning

KW - QT

KW - T-wave morphology

KW - INTERVAL

KW - FORMS

U2 - 10.1016/j.hrthm.2019.12.020

DO - 10.1016/j.hrthm.2019.12.020

M3 - Article

C2 - 31917370

VL - 17

SP - 752

EP - 758

JO - Heart Rhythm

JF - Heart Rhythm

SN - 1547-5271

IS - 5

ER -