Giuseppe Caracciolo
Detecting Congenital Heart Defects on an Edge platform using Phonocardiogram and AI.
Rel. Danilo Demarchi, Emanuel Mihai Popovici. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Biomedica, 2023
|
Preview |
PDF (Tesi_di_laurea)
- Tesi
Licenza: Creative Commons Attribution Non-commercial No Derivatives. Download (8MB) | Preview |
Abstract
Congenital Heart Defects (CHD) are heart malformations caused by abnormal heart development. These malformations can induce a wide range of clinical symptoms, indicating that this vital organ is underperforming. The earlier one can detect these malformations, the better patient outcomes. Ultrasound is used for the early detection of CHD. However, because antenatal and postnatal ultrasounds are in short supply, diagnosis is generally performed based on other solutions which are more easily available. In a resource-constraint context, where ultrasound screening is highly limited, these alternative methods may become even more crucial. Routine CHD screening is executed in such settings by the mean of a multi-dimensional clinical test that includes, among others, pulse oximetry and auscultation.
Although auscultation is subject to interpretation, as some cardiac aberrations are not always audible, it facilitates cardiac defects detection
Relatori
Anno Accademico
Tipo di pubblicazione
Numero di pagine
Corso di laurea
Classe di laurea
Ente in cotutela
Aziende collaboratrici
URI
![]() |
Modifica (riservato agli operatori) |
