Ph.D. in Ingegneria Informatica E Dei Sistemi , 36th cycle (2020-2023)
Ph.D. obtained in 2024
Dissertation:
Sleep in Neurodegenerative Diseases: An Integrated Approach to Diagnosis and Monitoring (Abstract)
Tutors:
Gabriella Olmo
Research presentation:
Video presentation PosterProfile
Research topic
Development of lightweight solutions for monitoring sleep disorders in neurodegenerative diseases
Research interests
Biography
She is currently PhD Candidate at Politecnico di Torino, where she attended the PhD Program in Computer and Control Engineering.
Her research focuses on the analysis of human sleep as a marker of neurodegeneration.
Her research interests include: technologies for minimally-invasive sleep studies, Machine Learning for automatic sleep analysis, computer-assisted diagnosis of sleep disorders, innovative strategies and solutions for the continuous and lightweight monitoring of sleep disorders in Parkinson's Disease.
During her PhD, she cooperated with the Dept. Neuroscience at the University of Turin and the Dept. Neurology of the Medizinische Universität Innsbruck (Austria), where she also worked as Visiting PhD Student.
Awards and Honors
- [Dissemination activity] Invited speaker at a plenary session at the Italian Congress on Movement Disorders (7° Congresso Accademia LIMPE-DISMOV), 15th-17th December 2021. The plenary session talk, held with Dr Mauro Rizzone (Dept. Neurology and Neuroscience, University of Turin), focused on the challenges and opportunities of technology in Parkinson's Disease. I discussed the role of Telemedicine in Parkinson's Disease and presented the outcome and current advancements of the joint work between our research group and the Neurology Unit at Molinette Hospital (Turin). (2022)
- [Dissemination Activity] I took part in the 3rd IEEE PitchD (30th March, 2022), where I presented a lightweight framework for the detection and assessment of REM Sleep Behaviour Disorder, and the possible clinical implications of these findings. (2022)
- Application for PhD Quality Awards - Additional Information. Please find attached the template provided by the PhD Coordinator. (2023)
Teaching
Teachings
Bachelor of Science
- Informatica. A.A. 2022/23, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
- Informatica. A.A. 2023/24, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
Research
Research groups
Publications
Last years publications
Publications by type
Works published during the Ph.D. View all publications in Porto@Iris
- Giarrusso, Gabriele Salvatore; Rechichi, Irene; Olmo, Gabriella (2024)
EEG-Based Detection of REM Sleep Behaviour Disorder: Towards a Stage-Agnostic Approach. In: 11th International Work-Conference on Bioinformatics and Biomedical Engineering, Gran Canaria, Las Palmas (ESP), July 15–17, 2024, pp. 263-276. ISSN 0302-9743. ISBN: 9783031646287
Contributo in Atti di Convegno (Proceeding) - Rechichi, Irene; Gangi, Luca Di; Zibetti, Maurizio; Olmo, Gabriella (2024)
Home Monitoring of Sleep Disturbances in Parkinson’s Disease: A Wearable Solution. In: IEEE International Conference on Pervasive Computing and Communications (PerCom) 2024, Biarritz (FRA), 11-16 March, 2024, pp. 106-111. ISBN: 979-8-3503-0437-4
Contributo in Atti di Convegno (Proceeding) - Rechichi, Irene; Amprimo, Gianluca; Cicolin, Alessandro; Olmo, Gabriella (2024)
Predicting Amyotrophic Lateral Sclerosis Progression: an EMG-based Survival Analysis. 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) - Cesari, Matteo; Rechichi, Irene (2024)
Automatic and Machine Learning Methods for Detection and Characterization of REM Sleep Behavior Disorder. In: Handbook of AI and Data Sciences for Sleep Disorders / Berry R., Pardalos P., Xian X., S.L., Springer, pp. 197-217. ISBN: 978-3-031-68263-6
Contributo in Volume - Rechichi, Irene; Olmo, Gabriella; Stefani, Ambra; Heidbreder, Anna; Holzknecht, Evi; ... (2024)
Towards fully automatic quantification of REM sleep without atonia according to the Sleep Innsbruck Barcelona (SINBAR) scoring method. In: World Sleep 2023, Rio De Janeiro (BRA), 20-25 ottobre 2023, pp. 307-307. ISSN 1878-5506
Contributo in Atti di Convegno (Proceeding) - 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) - Rechichi, Irene (2024)
Sleep in Neurodegenerative Diseases: An Integrated Approach to Diagnosis and Monitoring. relatore: OLMO, Gabriella; , 36. XXXVI Ciclo, P.: 202
Doctoral Thesis - Amprimo, Gianluca; Rechichi, Irene; Ferraris, Claudia; Olmo, Gabriella (2023)
Measuring Brain Activation Patterns from Raw Single-Channel EEG during Exergaming: A Pilot Study. In: ELECTRONICS, vol. 12. ISSN 2079-9292
Contributo su Rivista - Amprimo, Gianluca; Rechichi, Irene; Ferraris, Claudia; Olmo, Gabriella (2023)
Objective Assessment of the Finger Tapping Task in Parkinson's Disease and Control Subjects using Azure Kinect and Machine Learning. In: 2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS), L'Aquila (Italia), 22-24 giugno 2023, pp. 640-645. ISBN: 979-8-3503-1224-9
Contributo in Atti di Convegno (Proceeding) - Masi, Giulia; Amprimo, Gianluca; Rechichi, Irene; Ferraris, Claudia; Olmo, Gabriella (2023)
Electrodermal Activity in the Evaluation of Engagement for Telemedicine Applications. In: 2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2022, Atlanta (USA), 13-17 March 2023, pp. 130-135. ISBN: 978-1-6654-5381-3
Contributo in Atti di Convegno (Proceeding) - Sigcha, Luis; Borzi', Luigi; Amato, Federica; Rechichi, Irene; Ramos-Romero, Carlos; ... (2023)
Deep learning and wearable sensors for the diagnosis and monitoring of Parkinson’s disease: A systematic review. In: EXPERT SYSTEMS WITH APPLICATIONS, vol. 229, Part A. ISSN 0957-4174
Contributo su Rivista - Rechichi, Irene; Amato, Federica; Cicolin, Alessandro; Olmo, Gabriella (2022)
Single-Channel EEG Detection of REM Sleep Behaviour Disorder: The Influence of REM and Slow Wave Sleep. In: 9th International Work-Conference, IWBBIO 2022, Gran Canaria (Spain), pp. 381-394. ISBN: 978-3-031-07703-6
Contributo in Atti di Convegno (Proceeding) - Amato, F.; Rechichi, I.; Borzi', L.; Olmo, G. (2022)
Sleep Quality through Vocal Analysis: a Telemedicine Application. In: 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2022, Pisa (ITA), 2022, pp. 706-711. ISBN: 978-1-6654-1647-4
Contributo in Atti di Convegno (Proceeding) - Rechichi, Irene; Iadarola, Antonella; Zibetti, Maurizio; Cicolin, Alessandro; Olmo, ... (2022)
Assessing REM sleep behaviour disorder: from machine learning classification to the definition of a continuous dissociation index. In: INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, vol. 19, pp. 1-18. ISSN 1660-4601
Contributo su Rivista - Rechichi, I.; Zibetti, M.; Borzì, Luigi; Olmo, G.; Lopiano, L. (2021)
Single-channel EEG classification of sleep stages based on REM microstructure. In: HEALTHCARE TECHNOLOGY LETTERS, vol. 8, pp. 58-65. ISSN 2053-3713
Contributo su Rivista