Giulia Masi

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

Docente esterno e/o collaboratore didattico
Department of Control and Computer Engineering (DAUIN)

giulia.masi@polito.it

Profile

PhD

Research topic

Assessment Tasks and Virtual Exergames for Rehabilitation and Remote Monitoring of Parkinson’s Disease

Tutors

Gabriella Olmo
Claudia Ferraris

Research interests

Data science, Computer vision and AI

Life sciences

Biography

I have got my master in biomedical engineering at Politecnico di Torino in 2021, specialising in biosignal processing. My master thesis, titled ‘Automating REM Sleep Without Atonia Scoring Methods’, is about the scoring of REM sleep without atonia (RSWA) with automatic methods, RSWA is in fact pivotal in the study of early stages of Parkinson’s disease, but it’s a particularly cumbersome task for clinicians, because it’s done by the visual inspection of many hours of various biosignals (especially EEG and EMG).
After my Master, I followed my research interests in neuroscience working as a research fellow for the neuroscience department of the University of Turin. In particular, I’m interested in the study of the wide variety of symptoms of the neurodegenerative diseases, including the emotional and stress related ones, using objective and quantitative measurements, like neurophysiological signals. I'm now focusing on this topics as a PhD student in computer and control engineering in Smilies group.

Teaching

Teachings

Bachelor of Science

Informatica. A.A. 2024/25, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
Informatica. A.A. 2024/25, INGEGNERIA AEROSPAZIALE. Collaboratore del corso

Research

Research groups

SMILIES - reSilient coMputer archItectures and LIfE Sciences (DAUIN)

Publications

Latest publications View all publications in Porto@Iris

Amprimo, G.; Masi, G.; Olmo, G.; Ferraris, C. (2024)
Deep Learning for hand tracking in Parkinson's Disease video-based assessment: Current and future perspectives. In: ARTIFICIAL INTELLIGENCE IN MEDICINE, vol. 154. ISSN 0933-3657
Contributo su Rivista
Amprimo, Gianluca; Masi, Giulia; Pettiti, Giuseppe; Olmo, Gabriella; Priano, Lorenzo; ... (2024)
Hand tracking for clinical applications: Validation of the Google MediaPipe Hand (GMH) and the depth-enhanced GMH-D frameworks. In: BIOMEDICAL SIGNAL PROCESSING AND CONTROL (ONLINE), vol. 96. ISSN 1746-8108
Contributo su Rivista
Masi, G.; Amprimo, G.; Ferraris, C.; Priano, L. (2023)
Stress and Workload Assessment in Aviation—A Narrative Review. In: SENSORS, vol. 23. ISSN 1424-8220
Contributo su Rivista
Masi, G.; Amprimo, G.; Priano, L.; Ferraris, C. (2023)
New Perspectives in Nonintrusive Sleep Monitoring for Neurodegenerative Diseases—A Narrative Review. In: ELECTRONICS, vol. 12. ISSN 2079-9292
Contributo su Rivista
Amprimo, G.; Masi, G.; Priano, L.; Azzaro, C.; Galli, F.; Pettiti, G.; Mauro, A.; ... (2022)
Assessment Tasks and Virtual Exergames for Remote Monitoring of Parkinson’s Disease: An Integrated Approach Based on Azure Kinect. In: SENSORS, vol. 22. ISSN 1424-8220
Contributo su Rivista