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. 2025/26, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
Informatica. A.A. 2025/26, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
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

Masi, Giulia; Amprimo, Gianluca; Rechichi, Irene; Ferraris, Claudia; Olmo, Gabriella (2024)
Does Baseline Stress Affect Electrodermal Activity? A Serious-Game-Based Pilot Study. In: 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024, Orlando (USA), 15-19 July 2024, pp. 1-4. ISSN 1557-170X. ISBN: 979-8-3503-7149-9
Contributo in Atti di Convegno (Proceeding)
Amprimo, Gianluca; Masi, Giulia; Olmo, Gabriella; Ferraris, Claudia (2024)
Enhancing Model Generalizability In Parkinson's Disease Automatic Assessment: A Semi-Supervised Approach Across Independent Experiments. In: 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024, Orlando, FL (USA), 15-19 July 2024, pp. 1-4. ISSN 1557-170X. ISBN: 979-8-3503-7149-9
Contributo in Atti di Convegno (Proceeding)
Ferraris, Claudia; Amprimo, Gianluca; Cerfoglio, Serena; Masi, Giulia; Vismara, Luca; ... (2024)
Machine-Learning-Based Validation of Microsoft Azure Kinect in Measuring Gait Profiles. In: ELECTRONICS, vol. 13. ISSN 2079-9292
Contributo su Rivista
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, G.; Masi, G.; Ferraris, C.; Olmo, G.; Priano, L. (2022)
A Preliminary Comparison between Traditional and Gamified Leg Agility Assessment in Parkinsonian Subjects. In: 2022 IEEE 10th International Conference on Serious Games and Applications for Health(SeGAH), Sydney (AUS), 10-12 August 2022, pp. 1-8. ISBN: 978-1-6654-8439-8
Contributo in Atti di Convegno (Proceeding)