Modeling arterial pulse waves in healthy aging: a database for in silico evaluation of hemodynamics and pulse wave indexes.
The arterial pulse wave (PW) is a rich source of information on cardiovascular (CV) health. It is widely measured by both consumer and clinical devices. However, the physical determinants of the PW are not yet fully understood, and the development of PW analysis algorithms is limited by a lack of PW data sets containing reference CV measurements. Our aim was to create a database of PWs simulated by a computer to span a range of CV conditions, representative of a sample of healthy adults. The typical CV properties of 25-75 yr olds were identified through a literature review. These were used as inputs to a computational model to simulate PWs for subjects of each age decade. Pressure, flow velocity, luminal area, and photoplethysmographic PWs were simulated at common measurement sites, and PW indexes were extracted. The database, containing PWs from 4,374 virtual subjects, was verified by comparing the simulated PWs and derived indexes with corresponding in vivo data. Good agreement was observed, with well-reproduced age-related changes in hemodynamic parameters and PW morphology. The utility of the database was demonstrated through case studies providing novel hemodynamic insights, in silico assessment of PW algorithms, and pilot data to inform the design of clinical PW algorithm assessments. In conclusion, the publicly available PW database is a valuable resource for understanding CV determinants of PWs and for the development and preclinical assessment of PW analysis algorithms. It is particularly useful because the exact CV properties that generated each PW are known.NEW & NOTEWORTHY First, a comprehensive literature review of changes in cardiovascular properties with age was performed. Second, an approach for simulating pulse waves (PWs) at different ages was designed and verified against in vivo data. Third, a PW database was created, and its utility was illustrated through three case studies investigating the determinants of PW indexes. Fourth, the database and tools for creating the database, analyzing PWs, and replicating the case studies are freely available.
['Charlton|Peter H|PH|0000-0003-3836-8655', 'Mariscal Harana|Jorge|J|0000-0003-1507-8380', 'Vennin|Samuel|S|', 'Li|Ye|Y|', 'Chowienczyk|Phil|P|', 'Alastruey|Jordi|J|0000-0003-3742-5259']
D000328:Adult D000367:Age Factors D000368:Aged D001158:Arteries D003198:Computer Simulation D016208:Databases, Factual D005260:Female D000073656:Healthy Aging D006439:Hemodynamics D006801:Humans D008297:Male D008875:Middle Aged D008955:Models, Cardiovascular D009716:Numerical Analysis, Computer-Assisted D063177:Pulse Wave Analysis D059289:Vascular Stiffness
arteries pulse wave aging blood flow database of virtual subjects