Giulia Masi

Dottoranda in Ingegneria Informatica E Dei Sistemi , 39^o ciclo (2023-2026)
Dipartimento di Automatica e Informatica (DAUIN)

Docente esterno e/o collaboratore didattico
Dipartimento di Automatica e Informatica (DAUIN)

giulia.masi@polito.it

Profilo

Dottorato di ricerca

Argomento di ricerca

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

Tutori

Gabriella Olmo
Claudia Ferraris

Interessi di ricerca

Data science, Computer vision and AI

Life sciences

Biografia

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.

Didattica

Insegnamenti

Corso di laurea di 1° livello

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

Ricerca

Gruppi di ricerca

SMILIES - reSilient coMputer archItectures and LIfE Sciences (DAUIN)

Pubblicazioni

Pubblicazioni più recenti Vedi tutte le pubblicazioni su 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, Disney's Coronado Springs Convention Center, Orlando (USA), 2024, pp. 1-4. ISSN 1557-170X
Contributo in Atti di Convegno (Proceeding)
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
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