dc.contributor | Vall d'Hebron Barcelona Hospital Campus |
dc.contributor.author | Charlton, Peter |
dc.contributor.author | Bikia, Vasiliki |
dc.contributor.author | Paliakaitė, Birutė |
dc.contributor.author | Hametner, Bernhard |
dc.contributor.author | Bruno, Rosa Maria |
dc.contributor.author | Alastruey, Jordi |
dc.contributor.author | Guala, Andrea |
dc.date.accessioned | 2023-06-13T07:18:34Z |
dc.date.available | 2023-06-13T07:18:34Z |
dc.date.issued | 2023-07 |
dc.identifier.citation | Alastruey J, Charlton PH, Bikia V, Paliakaite B, Hametner B, Bruno RM, et al. Arterial pulse wave modeling and analysis for vascular-age studies: a review from VascAgeNet. Am J Physiol Heart Circ Physiol. 2023 Jul;325(1):H1–H29. |
dc.identifier.issn | 1522-1539 |
dc.identifier.uri | https://hdl.handle.net/11351/9728 |
dc.description | Aging; Arteriosclerosis; Hemodynamics |
dc.description.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. |
dc.language.iso | eng |
dc.publisher | American Physiological Society |
dc.relation.ispartofseries | American Journal of Physiology - Heart and Circulatory Physiology;325(1) |
dc.rights | Attribution 4.0 International |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ |
dc.source | Scientia |
dc.subject | Sistema cardiovascular - Envelliment |
dc.subject | Pletismografia |
dc.subject | Artèries |
dc.subject | Sistema cardiovascular - Malalties - Diagnòstic |
dc.subject.mesh | Pulse Wave Analysis |
dc.subject.mesh | Models, Cardiovascular |
dc.subject.mesh | Arteries |
dc.subject.mesh | /physiology |
dc.subject.mesh | Photoplethysmography |
dc.title | Arterial pulse wave modeling and analysis for vascular-age studies: a review from VascAgeNet |
dc.type | info:eu-repo/semantics/article |
dc.identifier.doi | 10.1152/ajpheart.00705.2022 |
dc.subject.decs | análisis de la onda del pulso |
dc.subject.decs | modelos cardiovasculares |
dc.subject.decs | arterias |
dc.subject.decs | /fisiología |
dc.subject.decs | fotopletismografía |
dc.relation.publishversion | https://doi.org/10.1152/ajpheart.00705.2022 |
dc.type.version | info:eu-repo/semantics/publishedVersion |
dc.audience | Professionals |
dc.contributor.organismes | Institut Català de la Salut |
dc.contributor.authoraffiliation | [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. Laboratory of Hemodynamics and Cardiovascular Technology, Institute of Bioengineering, Swiss Federal Institute of Technology, Lausanne, Switzerland. [Paliakaite B] Biomedical Engineering Institute, Kaunas University of Technology, Kaunas, Lithuania. [Hametner B] AIT Austrian Institute of Technology, Center for Health and Bioresources, Medical Signal Analysis, Vienna, Austria. [Bruno RM] INSERM, U970, Paris Cardiovascular Research Center, Universite de Paris, Hopital Europeen Georges Pompidou – APHP, Paris, France. [Guala A] Vall d’Hebron Institut de Recerca (VHIR), Barcelona, Spain. CIBER-CV, Instituto de Salud Carlos III, Madrid, Spain |
dc.identifier.pmid | 37000606 |
dc.relation.projectid | info:eu-repo/grantAgreement/EC/H2020/848109 |
dc.rights.accessrights | info:eu-repo/semantics/openAccess |