Beatrice Lattanzi
Development of clinical grade Pulse Wave Velocity estimation equipment using MEMS microphones.
Rel. Danilo Demarchi, Davide Lena, Irene Buraioli. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Biomedica, 2018
|
Preview |
PDF (Tesi_di_laurea)
- Tesi
Licenza: Creative Commons Attribution Non-commercial No Derivatives. Download (5MB) | Preview |
Abstract
The scope of this thesis work is to developed a system for Pulse Wave Velocity(PWV) estimation using phonocardiogram(PCG) signal. This parameter is a measure of arterial vessel stiffness and it allows to evaluate the pressure wave propagation velocity along the arterial tree. The state of health is given by the arterial pulse speed, so PWV is defined as reliable parameter capable to predict cardiovascular risk. Over the years, several techniques have been implemented to extract features from the cardiovascular system in a non-invasive way, but they are very expensive and difficult to use in the daily practice. For this reason, the aim of this work is to developed a new low-cost and easy to use system for PWV evaluation.
The signal chosen for this parameter extraction is the PCG, a visual representation of sounds correlated with the heart pumping action
Relatori
Anno Accademico
Tipo di pubblicazione
Numero di pagine
Corso di laurea
Classe di laurea
Aziende collaboratrici
URI
![]() |
Modifica (riservato agli operatori) |
