Symmetric Projection Attractor Reconstruction analysis of murine electrocardiograms: Retrospective prediction of Scn5a genetic mutation attributable to Brugada syndrome.

Journal: Heart rhythm O2
Published Date: Dec 1, 2020

Abstract

BACKGROUND: Life-threatening arrhythmias resulting from genetic mutations are often missed in current electrocardiogram (ECG) analysis. We combined a new method for ECG analysis that uses all the waveform data with machine learning to improve detection of such mutations from short ECG signals in a mouse model.

Authors

  • Esther Bonet-Luz
    Department of Mathematics, University of Surrey, Guildford, United Kingdom.
  • Jane V Lyle
    Department of Mathematics, University of Surrey, Guildford, United Kingdom.
  • Christopher L-H Huang
    Faculty of Health and Medical Sciences, University of Surrey, Guildford, United Kingdom.
  • Yanmin Zhang
    Department of Paediatric Cardiology, Shaanxi Institute for Pediatric Diseases, Affiliate Children's Hospital of Xi'an Jiaotong University, Xi'an, China.
  • Manasi Nandi
    School of Cancer and Pharmaceutical Sciences, Faculty of Life Sciences & Medicine, King's College London, London, United Kingdom.
  • Kamalan Jeevaratnam
    Faculty of Health and Medical Sciences, University of Surrey, Guildford, United Kingdom.
  • Philip J Aston
    Department of Mathematics, University of Surrey, Guildford, United Kingdom.

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