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Arterial pulse wave modeling and analysis for vascular-age studies: a review from VascAgeNet

  • Jordi Alastruey
  • , Peter H Charlton
  • , Vasiliki Bikia
  • , Birute Paliakaite
  • , Bernhard Hametner
  • , Rosa Maria Bruno
  • , Marijn P Mulder
  • , Samuel Vennin
  • , Senol Piskin
  • , Ashraf W Khir
  • , Andrea Guala
  • , Christopher C Mayer
  • , Jonathan Mynard
  • , Alun D Hughes
  • , Patrick Segers
  • , Berend E Westerhof
  • Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King’s College London
  • Department of Public Health and Primary Care, University of Cambridge
  • Division of Vascular Surgery, School of Medicine, Stanford University
  • Laboratory of Hemodynamics and Cardiovascular Technology, Institute of Bioengineering, Swiss Federal Institute of Technology
  • Biomedical Engineering Institute, Kaunas University of Technology
  • Paris Cardiovascular Research Center (PARCC)
  • Cardiovascular and Respiratory Physiology, TechMed Centre, University of Twente
  • Department of Mechanical Engineering, Faculty of Engineering and Natural Sciences, Istinye University
  • Department of Engineering, Durham University
  • Vall d’Hebron Institut de Recerca
  • CIBER-CV, Instituto de Salud Carlos III, Madrid, Spain
  • Murdoch Children's Research Institute
  • Department of Paediatrics, University of Melbourne
  • Department of Biomedical Engineering, University of Melbourne
  • MRC Unit for Lifelong Health and Ageing at UCL, Department of Population Science and Experimental Medicine, Institute of Cardiovascular Science, University College London
  • Institute for Biomedical Engineering and Technology, Ghent University
  • Department of Pulmonary Medicine, Amsterdam University Medical Centres, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
  • Department of Neonatology, Radboud University Medical Center, Radboud Institute for Health Sciences, Amalia Children’s Hospital

Research output: Contribution to journalArticlepeer-review

Abstract

Arterial pulse waves (PWs) such as blood pressure and photoplethysmogram (PPG) signals contain a wealth of information on the cardiovascular (CV) system that can be exploited to assess vascular age and identify individuals at elevated CV risk. We review the possibilities, limitations, complementarity, and differences of reduced-order, biophysical models of arterial PW propagation, as well as theoretical and empirical methods for analyzing PW signals and extracting clinically relevant information for vascular age assessment. We provide detailed mathematical derivations of these models and theoretical methods, showing how they are related to each other. Finally, we outline directions for future research to realize the potential of modeling and analysis of PW signals for accurate assessment of vascular age in both the clinic and in daily life.

Original languageEnglish
Pages (from-to)H1-H29
Number of pages29
JournalAmerican Journal of Physiology - Heart and Circulatory Physiology
Volume325
Issue number1
Early online date1 Jun 2023
DOIs
Publication statusPublished - 1 Jul 2023

Research Field

  • Medical Signal Analysis

Keywords

  • aging
  • arteriosclerosis
  • atherosclerosis
  • hemodynamics
  • pulse wave

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