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Noninvasive assessment of dofetilide plasma concentration using a deep learning (neural network) ana...

Noninvasive assessment of dofetilide plasma concentration using a deep learning (neural network) ana...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2091761100

Noninvasive assessment of dofetilide plasma concentration using a deep learning (neural network) analysis of the surface electrocardiogram: A proof of concept study

About this item

Full title

Noninvasive assessment of dofetilide plasma concentration using a deep learning (neural network) analysis of the surface electrocardiogram: A proof of concept study

Publisher

United States: Public Library of Science

Journal title

PloS one, 2018-08, Vol.13 (8), p.e0201059-e0201059

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

Dofetilide is an effective antiarrhythmic medication for rhythm control in atrial fibrillation, but carries a significant risk of pro-arrhythmia and requires meticulous dosing and monitoring. The cornerstone of this monitoring, measurement of the QT/QTc interval, is an imperfect surrogate for plasma concentration, efficacy, and risk of pro-arrhythm...

Alternative Titles

Full title

Noninvasive assessment of dofetilide plasma concentration using a deep learning (neural network) analysis of the surface electrocardiogram: A proof of concept study

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_2091761100

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2091761100

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0201059

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