| KEYWORD |
Area Engineering
Use of electrodes for Pulse Wave Velocity estimation
keywords CARDIOVASCULAR DISEASES, PULSE WAVE VELOCITY, SIGNAL PROCESSING
Reference persons DANILO DEMARCHI
External reference persons Irene Buraioli (irene.buraioli@polito.it)
Research Groups MiNES (Micro&Nano Electronic Systems)
Thesis type EXPERIMENTAL
Description Cardiovascular disease (CVD) is the leading cause of mortality in the world, accounting for about 17.9 million deaths per year, corresponding to 32 percent of total annual deaths. Early diagnosis and treatment of CVD can dramatically reduce the chance of premature mortality and ensure an everyday life. Cardiovascular risk has been widely correlated in the literature with Pulse Wave Velocity (PWV), an index with high predictive content. PWV represents the speed of pressure wave propagation within arteries and is usually assessed between the carotid and femoral sites. It is calculated as the ratio of the distance between the two locations to the time elapsed to travel that length. Nowadays, PWV estimation is performed with instruments based mainly on applanation tonometry, but the high cost has severely limited their use in clinical settings. The solutions currently on the market also require highly trained medical personnel and do not allow for continuous, wearable monitoring.
This thesis aims to develop a new system for PWV estimation based on impedance plethysmography, a novel technique for this application.
The proposed thesis work will be structured as follows:
1) The candidate will be required to perform a state-of-the-art analysis of the new methodology for PWV estimation.
2) Next, the candidate will be required to implement a system that allows the acquisition of pulse waves at different acquisition sites. The goal is to perform body mapping by identifying the best configuration for extracting a high SNR signal.
3) Finally, the candidate should validate the operation of the proposed solution by comparing their results with the device considered to be the gold standard for the application.
This process will allow the candidate to demonstrate the effectiveness of the proposed innovative solution in measuring PWV, the primary clinical parameter for cardiovascular risk estimation.
Required skills Signal processing, programming in C
Deadline 14/12/2024
PROPONI LA TUA CANDIDATURA