Sara Groppo

Ph.D. candidate in Ingegneria Informatica E Dei Sistemi , 39th cycle (2023-2026)
Department of Control and Computer Engineering (DAUIN)

Profile

PhD

Research topic

Non-invasive and low-cost solutions for health monitoring of new-borns

Tutors

Research interests

Life sciences

Biography

I earned my Bachelor’s (a.y. 2019-2020) and Master’s (a.y. 2021-2022) degrees in Biomedical Engineering from Politecnico di Torino. My Master’s thesis focused on the "Design and development of click-chemistry-based electroconductive hydrogels for cardiac tissue engineering". During this time, I strengthened my skills in data analysis and gained extensive experience in the laboratory environment.
In parallel with my studies, I worked with Sleep Advice Technologies (https://www.linkedin.com/company/satechnologies/posts/?feedView=all), actively participating in experimental activities aimed at predicting drowsiness in drivers.
Following my Master’s graduation, I was awarded a one-year research fellowship at the Department of Control and Computer Engineering at Politecnico di Torino, where I focused on the analysis of physiological signals in adults during sleep and the automation of sleep pattern recognition.
I am currently a PhD candidate in the Department of Control and Computer Engineering at Politecnico di Torino and in Sleep Advice Technologies. My PhD program is dedicated to exploring innovative solutions for non-invasive and low-cost monitoring of human physiological signals. A particular emphasis is placed on technologies suited to newborns, where continuous monitoring of vital signs is crucial for assessing the maturation of cardiorespiratory control, monitoring overall health, and enabling rapid diagnosis of pathological conditions such as infections. My research primarily centers on non-invasive contactless and contact-based solutions for monitoring vital parameters. After an extensive literature review, I am conducting a thorough study on the application of radar technologies on adults, to extend this technology to newborns and children.
As part of this work, I spent two months at IEE (https://iee-sensing.com/) to acquire data on adults using their radar technology alongside a medical-grade device, gaining insight into the acquisition of vital signs from radar data. Additionally, in collaboration with a pediatric hospital, I am initiating a project to analyze data from a large cohort of children monitored with a non-invasive medical-grade device, aiming to develop automatic identification of pathological events.

Research

Research groups

Publications

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