(ii) an evaluation of methods for assessing aortic stiffness Which highlighted two main mechanisms responsibleįor changes in pulse pressure amplification with age (the ratio of brachial to aortic pulse pressure), (i) an investigation into the determinants of pulse pressure amplification Its utility for the development and pre-clinical design and assessment of pulse wave analysis techniques was demonstrated with three case studies: The dataset allows for extensive in silico analyses of the performance of pulse wave analysis algorithms, and investigations into the mechanisms of haemodynamics. Good agreement was observed, with well-reproduced age-related changes in haemodynamic parameters and pulse wave morphology. The database was verified by comparing the simulated pulse waves and derived indexes with corresponding in vivo data. 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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