Accurate QT correction method from transfer entropy

Esa Räsänen, Teemu Pukkila, Matias Kanniainen, Minna Miettinen, Rostislav Duda, Jiyeong Kim, Janne Solanpää, Katriina Aalto-Setälä, Ilya Potapov

Research output: Contribution to journalArticleScientificpeer-review

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Abstract

Background: The QT interval in the electrocardiogram (ECG) is a fundamental risk measure for arrhythmic adverse cardiac events. However, the QT interval depends on the heart rate and must be corrected accordingly. The present QT correction (QTc) methods are either simple models leading to under- or overcorrection, or impractical in requiring long-term empirical data. In general, there is no consensus on the best QTc method. Objective: We introduce a model-free QTc method—AccuQT—that computes QTc by minimizing the information transfer from R-R to QT intervals. The objective is to establish and validate a QTc method that provides superior stability and reliability without models or empirical data. Methods: We tested AccuQT against the most commonly used QT correction methods by using long-term ECG recordings of more than 200 healthy subjects from PhysioNet and THEW databases. Results: AccuQT overperforms the previously reported correction methods: the proportion of false-positives is reduced from 16% (Bazett) to 3% (AccuQT) for the PhysioNet data. In particular, the QTc variance is significantly reduced and thus the RR-QT stability is increased. Conclusion: AccuQT has significant potential to become the QTc method of choice in clinical studies and drug development. The method can be implemented in any device recording R-R and QT intervals.

Original languageEnglish
Number of pages8
JournalCardiovascular Digital Health Journal
Volume4
Issue number1
Early online date25 Nov 2022
DOIs
Publication statusPublished - Feb 2023
Publication typeA1 Journal article-refereed

Keywords

  • ECG
  • Electrocardiography
  • Numerical techniques
  • QT interval
  • QTc interval

Publication forum classification

  • Publication forum level 0

ASJC Scopus subject areas

  • Biomedical Engineering
  • Critical Care and Intensive Care Medicine
  • Cardiology and Cardiovascular Medicine

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