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Arterial pulse wave modeling and analysis for vascular-age studies: a review from VascAgeNet.
Alastruey, Jordi; Charlton, Peter H; Bikia, Vasiliki; Paliakaite, Birute; Hametner, Bernhard; Bruno, Rosa Maria; Mulder, Marijn P; Vennin, Samuel; Piskin, Senol; Khir, Ashraf W; Guala, Andrea; Mayer, Christopher C; Mynard, Jonathan; Hughes, Alun D; Segers, Patrick; Westerhof, Berend E.
Affiliation
  • Alastruey J; Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
  • Charlton PH; Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom.
  • Bikia V; Division of Vascular Surgery, School of Medicine, Stanford University, Stanford, California, United States.
  • Paliakaite B; Laboratory of Hemodynamics and Cardiovascular Technology, Institute of Bioengineering, Swiss Federal Institute of Technology, Lausanne, Switzerland.
  • Hametner B; Biomedical Engineering Institute, Kaunas University of Technology, Kaunas, Lithuania.
  • Bruno RM; AIT Austrian Institute of Technology, Center for Health and Bioresources, Medical Signal Analysis, Vienna, Austria.
  • Mulder MP; INSERM, U970, Paris Cardiovascular Research Center, Université de Paris, Hopital Europeen Georges Pompidou-APHP, Paris, France.
  • Vennin S; Cardiovascular and Respiratory Physiology, TechMed Centre, University of Twente, Enschede, The Netherlands.
  • Piskin S; Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
  • Khir AW; Department of Mechanical Engineering, Faculty of Engineering and Natural Sciences, Istinye University, Istanbul, Turkey.
  • Guala A; Department of Engineering, Durham University, Durham, United Kingdom.
  • Mayer CC; Vall d'Hebron Institut de Recerca, Barcelona, Spain.
  • Mynard J; CIBER-CV, Instituto de Salud Carlos III, Madrid, Spain.
  • Hughes AD; AIT Austrian Institute of Technology, Center for Health and Bioresources, Medical Signal Analysis, Vienna, Austria.
  • Segers P; Heart Research, Murdoch Children's Research Institute, Parkville, Victoria, Australia.
  • Westerhof BE; Department of Paediatrics, University of Melbourne, Parkville, Victoria, Australia.
Am J Physiol Heart Circ Physiol ; 325(1): H1-H29, 2023 07 01.
Article in En | MEDLINE | ID: mdl-37000606
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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Arteries / Photoplethysmography Limits: Humans Language: En Journal: Am J Physiol Heart Circ Physiol Journal subject: CARDIOLOGIA / FISIOLOGIA Year: 2023 Type: Article Affiliation country: United kingdom
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Arteries / Photoplethysmography Limits: Humans Language: En Journal: Am J Physiol Heart Circ Physiol Journal subject: CARDIOLOGIA / FISIOLOGIA Year: 2023 Type: Article Affiliation country: United kingdom