Fourth, the database and tools for creating the database, analyzing PWs, and replicating the case studies are freely available.Īging arteries blood flow database of virtual subjects pulse wave.Īgmon Y, Khandheria BK, Meissner I, Schwartz GL, Sicks JD, Fought AJ, O’Fallon WM, Wiebers DO, Tajik AJ. Third, a PW database was created, and its utility was illustrated through three case studies investigating the determinants of PW indexes.
Second, an approach for simulating pulse waves (PWs) at different ages was designed and verified against in vivo data. NEW & NOTEWORTHY First, a comprehensive literature review of changes in cardiovascular properties with age was performed. It is particularly useful because the exact CV properties that generated each PW are known.
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. 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. Good agreement was observed, with well-reproduced age-related changes in hemodynamic parameters and PW morphology. The database, containing PWs from 4,374 virtual subjects, was verified by comparing the simulated PWs and derived indexes with corresponding in vivo data. Pressure, flow velocity, luminal area, and photoplethysmographic PWs were simulated at common measurement sites, and PW indexes were extracted. These were used as inputs to a computational model to simulate PWs for subjects of each age decade. The typical CV properties of 25-75 yr olds were identified through a literature review. 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. 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. It is widely measured by both consumer and clinical devices. The arterial pulse wave (PW) is a rich source of information on cardiovascular (CV) health.
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