Pierluigi Natale
Development of a load cell-based Bluetooth device for Pulse Wave Velocity estimation.
Rel. Danilo Demarchi, Irene Buraioli, Alessandro Sanginario. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Biomedica, 2022
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Abstract
With 17.9 million deaths per year, approximately 32% of all annual deaths, cardiovascular disease (CVD) is the world’s largest cause of death. Early detection and treatment of CVD can significantly lower the risk of premature death and ensure that patients lead normal lives. Among the several predictive factors, arterial stiffness has been found to be a useful indicator of cardiovascular risk and has a close relationship with Pulse Wave Velocity (PWV). Pulse Wave Velocity (PWV), which is often measured between the carotid and femoral sites, measures the speed of propagation of the pressure wave inside the arteries. For this reason, this thesis aims to develop a low-cost, non-invasive Bluetooth device for PWV estimation.
The sensitive elements used are digital micro force load cells produced by Honeywell, which behave like force sensors: placed on the skin in proximity of an artery, they can detect the smallest force variations caused by the artery pulse wave
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