Camilla Franchini
Optimization of a clinical Pulse Wave Velocity estimation system based on innovative graphene pressure sensors.
Rel. Danilo Demarchi, Irene Buraioli, Alessandro Sanginario. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Elettronica (Electronic Engineering), 2023
|
Preview |
PDF (Tesi_di_laurea)
- Tesi
Licenza: Creative Commons Attribution Non-commercial No Derivatives. Download (11MB) | Preview |
Abstract
As the World Health Organization estimates, around 18 million of people die from Cardiovascular Diseases every year, making them the leading cause of mortality globally. Early CVD diagnosis and treatment can significantly minimize the risk of premature death and ensure patients a normal life. Among the several potential predictors, arterial stiffness has been shown to be a valuable indicator for assessing cardiovascular risk and is closely related to Pulse Wave Velocity (PWV). The term "Pulse Wave Velocity" refers to the rate at which the pressure wave within the arteries propagates, and it is typically assessed between the carotid and femoral sites.
Nowadays, its estimation is executed using expensive technologies such as applanation tonometry and ultrasound, which constrain its usage in a clinical setting and increased over the last few years, the need for non-invasive, low-cost, clinical devices
Relatori
Anno Accademico
Tipo di pubblicazione
Numero di pagine
Corso di laurea
Classe di laurea
URI
![]() |
Modifica (riservato agli operatori) |
