Key result
Physics-based computational models, particularly finite and small deformation hyperelastic models, accurately describe the relationship between pulse wave velocity and blood pressure.
Why the study?
Accurate and reliable pulse transit time-based blood pressure estimation barely exists due to the complexity of blood pressure regulation in the human body.
Physics-based computational modeling of pulse transit time and pulse wave velocity offers a theoretical foundation for continuous, non-invasive blood pressure monitoring, though calibration and validation in diverse populations remain necessary.
Recent developments in cardiovascular mathematics allow to simulate blood flow in the entire circulatory network or any isolated cardiovascular subsystem. Providing measurements of a Pulse Transit Time (PTT), or the averaged value for the Pulse Wave Velocity (PWV), the patient specific computational model can create personalized transfer functions, converting distal measurements to the set of cardiovascular biomarkers. The latter has a potential to build the feasible foundation for the personalized continuous self-monitoring of cardiovascular health based on portable mobile and wearable applications. Nevertheless, although being of a great interest, an accurate and reliable PTT-based Blood Pressure (BP) estimation barely exists nowadays due to the complexity of a BP regulation in a human body.
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Alexander S. Liberson (2020) conducted a review in Blood pressure estimation. Physics-based computational modeling of Pulse Transit Time vs. Data-driven approaches was evaluated. Physics-based computational models, particularly finite and small deformation hyperelastic models, accurately describe the relationship between pulse wave velocity and blood pressure.
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