Closed-loop effects in coupling cardiac physiological models to clinical interventions

• Dirk Husmeier ^[1] ; L. Mihaela Paun ^[1]
  1. [1] University of Glasgow

     University of Glasgow

     Reino Unido

     
• Localización: Proceedings of the 35th International Workshop on Statistical Modelling : July 20-24, 2020 Bilbao, Basque Country, Spain / Itziar Irigoien Garbizu (ed. lit.), Dae-Jin Lee (ed. lit.), Joaquín Martínez Minaya (ed. lit.), María Xosé Rodríguez Álvarez (ed. lit.), 2020, ISBN 978-84-1319-267-3, págs. 120-125
• Idioma: inglés
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  • Texto Completo Libro
• Resumen

  • There have been impressive methodological advancements in the mathematical modelling of cardio-physiological processes. The majority of recent articles have focused on the forward problem: developing flexible mathematical models and robust numerical simulation procedures to match characteristics of physiological target data, and the inverse problem: inferring model parameters from cardiac physiological data with reliable uncertainty quantification. However, when connecting mathematical model predictions to the clinical decision process, new challenges arise. This paper briefly discusses the complications that potentially result from closed-loop effects, and the model extensions that are required to reduce the ensuing bias.