Dottorato in Ingegneria Informatica E Dei Sistemi , 36^o ciclo (2020-2023)

Dottorato concluso nel 2024

Profilo

Argomento di ricerca

Soluzioni di Intelligenza Artificiale basate su analisi vocale come supporto alla pratica clinica

Interessi di ricerca

Computer graphics and Multimedia

Life sciences

Biografia

Federica Amato, MD, holds a B.S. in Biomedical Engineering earned in 2017. In 2018-2019, she pursued studies at the University of Cork, Ireland, and later completed her Master of Science in Biomedical Engineering at the Polytechnic University of Turin in 2020. Her master's thesis centered on the automatic assessment of Parkinson's Disease (PD) through speech analysis.

Currently, she is a post-graduate student at the Department of Control and Computer Engineering at the Polytechnic University of Turin, Italy. Her primary research interests revolve around speech processing, with a particular emphasis on early detection of vocal disturbances in PD patients. Her work is dedicated to automated speech analysis, aiming for remote monitoring of PD and the early identification of speech-related issues. In addition to PD, her research aims to identify valuable biomarkers for detecting pathologies that directly or indirectly affect the vocal apparatus.

Pubblicazioni

Pubblicazioni durante il dottorato Vedi tutte le pubblicazioni su Porto@Iris

Amato, Federica (2024)
Voice as the reservoir of valuable clinical information: a diagnosis and monitoring support for speech-affecting diseases. relatore: OLMO, Gabriella; , 36. XXXVI Ciclo, P.: 246
Doctoral Thesis
Scimeca, Sabrina; Amato, Federica; Olmo, Gabriella; Asci, Francesco; Suppa, Antonio; ... (2023)
Robust and language-independent acoustic features in Parkinson's disease. In: FRONTIERS IN NEUROLOGY, vol. 14. ISSN 1664-2295
Contributo su Rivista
Amato, Federica; Cesarini, Valerio; Pietrosanti, Luca; Costantini, Giovanni; Olmo, ... (2023)
Hallmarks of Parkinson’s disease progression determined by temporal evolution of speech attractors in the reconstructed phase-space. In: MetroInd4.0&IoT 2023, Brescia (IT), 06-08 June 2023, pp. 270-274. ISBN: 979-8-3503-9657-7
Contributo in Atti di Convegno (Proceeding)
Cesarini, Valerio; Costantini, Giovanni; Amato, Federica; Errico, Vito; Pietrosanti, ... (2023)
Automatic Detection of Myotonia using a Sensory Glove with Resistive Flex Sensors and Machine Learning Techniques. In: Metrology for Industry 4.0 and IoT 2023, Brescia (IT), 06-08 June 2023, pp. 194-199. ISBN: 979-8-3503-9657-7
Contributo in Atti di Convegno (Proceeding)
Costantini, Giovanni; Cesarini, Valerio; Di Leo, Pietro; Amato, Federica; Suppa, ... (2023)
Artificial Intelligence-Based Voice Assessment of Patients with Parkinson’s Disease Off and On Treatment: Machine vs. Deep-Learning Comparison. In: SENSORS, vol. 23. ISSN 1424-8220
Contributo su Rivista
Amato, F.; Saggio, G.; Cesarini, V.; Olmo, G.; Costantini, G. (2023)
Machine learning- and statistical-based voice analysis of Parkinson's disease patients: A survey. In: EXPERT SYSTEMS WITH APPLICATIONS, vol. 219. ISSN 0957-4174
Contributo su Rivista
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
Imbalzano, Gabriele; Rinaldi, Domiziana; Calandra-Buonaura, Giovanna; Contin, Manuela; ... (2023)
How resistant are levodopa-resistant axial symptoms? Response of freezing, posture and voice to increasing levodopa intestinal infusion rates in Parkinson's disease. In: EUROPEAN JOURNAL OF NEUROLOGY, vol. 30, pp. 96-106. ISSN 1351-5101
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)
Amato, Federica; Borzì, Luigi; Olmo, Gabriella; Orozco-Arroyave, Juan Rafael (2021)
An algorithm for Parkinson's disease speech classification based on isolated words analysis. In: HEALTH INFORMATION SCIENCE AND SYSTEMS, vol. 9, pp. 1-15. ISSN 2047-2501
Contributo su Rivista
Amato, F.; Borzi', L.; Olmo, G.; Artusi, C. A.; Imbalzano, G.; Lopiano, L. (2021)
Speech impairment in Parkinson’s disease: acoustic analysis of unvoiced consonants in Italian native speakers. In: IEEE ACCESS, vol. 9, pp. 166370-166381. ISSN 2169-3536
Contributo su Rivista
Borzì, Luigi; Fornara, Silvia; Amato, Federica; Olmo, Gabriella; Artusi, Carlo Alberto; ... (2020)
Smartphone-Based Evaluation of Postural Stability in Parkinson’s Disease Patients During Quiet Stance. In: ELECTRONICS, vol. 2020, pp. 1-14. ISSN 2079-9292
Contributo su Rivista

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Federica Amato

Dottorato in Ingegneria Informatica E Dei Sistemi , 36o ciclo (2020-2023)

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