Selvester scoring in patients with strict LBBB using the QUARESS software.

Xiaojuan Xia; Uzma Chaudhry; Björn Wieslander; Rasmus Borgquist; Galen S Wagner; David G Strauss; Pyotr Platonov; Martin Ugander; Jean-Philippe Couderc

doi:10.1016/j.jelectrocard.2015.06.003

Selvester scoring in patients with strict LBBB using the QUARESS software.

Xiaojuan Xia, Uzma Chaudhry, Björn Wieslander, Rasmus Borgquist, Galen S Wagner, David G Strauss, Pyotr Platonov, Martin Ugander, Jean-Philippe Couderc

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

Abstract

Estimation of the infarct size from body-surface ECGs in post-myocardial infarction patients has become possible using the Selvester scoring method. Automation of this scoring has been proposed in order to speed-up the measurement of the score and improving the inter-observer variability in computing a score that requires strong expertise in electrocardiography. In this work, we evaluated the quality of the QuAReSS software for delivering correct Selvester scoring in a set of standard 12-lead ECGs.

Original language	English
Pages (from-to)	763-768
Journal	Journal of Electrocardiology
Volume	48
Issue number	5
DOIs	https://doi.org/10.1016/j.jelectrocard.2015.06.003
Publication status	Published - 2015

Subject classification (UKÄ)

Cardiology and Cardiovascular Disease

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10.1016/j.jelectrocard.2015.06.003

http://www.ncbi.nlm.nih.gov/pubmed/26210409?dopt=Abstract

1 Doctoral Thesis (compilation)

Non-invasive prediction of malignant ventricular arrhythmias and mortality in patients with implantable cardioverter-defibrillator
Chaudhry, U., 2019, Lund: Lund University: Faculty of Medicine. 82 p.
Research output: Thesis › Doctoral Thesis (compilation)

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title = "Selvester scoring in patients with strict LBBB using the QUARESS software.",

abstract = "Estimation of the infarct size from body-surface ECGs in post-myocardial infarction patients has become possible using the Selvester scoring method. Automation of this scoring has been proposed in order to speed-up the measurement of the score and improving the inter-observer variability in computing a score that requires strong expertise in electrocardiography. In this work, we evaluated the quality of the QuAReSS software for delivering correct Selvester scoring in a set of standard 12-lead ECGs.",

author = "Xiaojuan Xia and Uzma Chaudhry and Bj{\"o}rn Wieslander and Rasmus Borgquist and Wagner, {Galen S} and Strauss, {David G} and Pyotr Platonov and Martin Ugander and Jean-Philippe Couderc",

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T1 - Selvester scoring in patients with strict LBBB using the QUARESS software.

AU - Xia, Xiaojuan

AU - Chaudhry, Uzma

AU - Wieslander, Björn

AU - Borgquist, Rasmus

AU - Wagner, Galen S

AU - Strauss, David G

AU - Platonov, Pyotr

AU - Ugander, Martin

AU - Couderc, Jean-Philippe

PY - 2015

Y1 - 2015

N2 - Estimation of the infarct size from body-surface ECGs in post-myocardial infarction patients has become possible using the Selvester scoring method. Automation of this scoring has been proposed in order to speed-up the measurement of the score and improving the inter-observer variability in computing a score that requires strong expertise in electrocardiography. In this work, we evaluated the quality of the QuAReSS software for delivering correct Selvester scoring in a set of standard 12-lead ECGs.

AB - Estimation of the infarct size from body-surface ECGs in post-myocardial infarction patients has become possible using the Selvester scoring method. Automation of this scoring has been proposed in order to speed-up the measurement of the score and improving the inter-observer variability in computing a score that requires strong expertise in electrocardiography. In this work, we evaluated the quality of the QuAReSS software for delivering correct Selvester scoring in a set of standard 12-lead ECGs.

U2 - 10.1016/j.jelectrocard.2015.06.003

DO - 10.1016/j.jelectrocard.2015.06.003

M3 - Article

C2 - 26210409

SN - 1532-8430

VL - 48

SP - 763

EP - 768

JO - Journal of Electrocardiology

JF - Journal of Electrocardiology

IS - 5

ER -

Selvester scoring in patients with strict LBBB using the QUARESS software.

Abstract

Subject classification (UKÄ)

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Research output

Non-invasive prediction of malignant ventricular arrhythmias and mortality in patients with implantable cardioverter-defibrillator

Cite this