Fabrizio Sciscenti

Ph.D. candidate in Bioingegneria E Scienze Medico-chirurgiche , 39^th cycle (2023-2026)
Department of Electronics and Telecommunications (DET)

Docente esterno e/o collaboratore didattico
Department of Electronics and Telecommunications (DET)

Profile

PhD

Research topic

Neuroengineering techniques to support clinicians in the management of patients with Parkinson's Disease undergoing Deep Brain Stimulation Neurosurgery

Tutors

Research interests

Computer Science

Motor control, neuroengineering and rehabilitation engineering

Biomedical signal and image processing

Biography

Fabrizio Sciscenti was born in Termoli, Italy. He received his Master’s Degree in Biomedical Engineering from Politecnico di Torino, Turin, Italy, in 2023 with the thesis “Real-time Processing and Classification of Intracortical Recordings during STN-DBS Neurosurgery”. He is currently a Ph.D. student in Bioengineering and Medical and Surgical Sciences at the Department of Electronics and Telecommunications of Politecnico di Torino, Turin, Italy. His research is mainly focused on biomedical signal processing with a particular emphasis on surface electromyographic signal analysis during gait and motor-cognitive dual tasks, to support clinicians in the management of PD patients undergoing Deep Brain Stimulation neurosurgery.

Awards and Honors

Premio di Laurea Magistrale GNB 2024 conferito da Gruppo Nazionale di Bioingegneria - GNB, Italia (2024) (2024)

Teaching

Teachings

Master of Science

Neuroengineering. A.A. 2024/25, INGEGNERIA BIOMEDICA. Collaboratore del corso

Bachelor of Science

Neuroengineering and active aging (Grandi Sfide - Salute). A.A. 2024/25, INGEGNERIA BIOMEDICA. Collaboratore del corso

Publications

PoliTO co-authors

Last years publications

Publications by type

Latest publications View all publications in Porto@Iris

Locoratolo, Lorenzo; Ghislieri, Marco; Sciscenti, Fabrizio; Lanotte, Michele; Rizzi, ... (2024)
A graph-based approach to study motor coordination in Parkinson’s Disease gait: a longitudinal study to assess the effectiveness of Deep Brain Stimulation neurosurgery. In: 24th National Congress of SIAMOC, Stresa (Italy), 2-5 October 2024, pp. 26-27. ISSN 0966-6362
Contributo in Atti di Convegno (Proceeding)
Ghislieri, Marco; Sciscenti, Fabrizio; Knaflitz, Marco; Rizzi, Laura; Lanotte, Michele; ... (2024)
Neuromuscular Control Changes in Parkinson's Disease after Deep Brain Stimulation: Insights from Muscle Synergy Parameters. In: ISEK 2024, Nagoya (Japan), June 26-29, 2024
Contributo in Atti di Convegno (Proceeding)
Branciforti, Francesco; Salvi, Massimo; D'Agostino, Filippo; Marzola, Francesco; ... (2024)
Segmentation and Multi-Timepoint Tracking of 3D Cancer Organoids from Optical Coherence Tomography Images Using Deep Neural Networks. In: DIAGNOSTICS, vol. 14. ISSN 2075-4418
Contributo su Rivista