Pubblicazioni

Artificial Intelligence-Based Voice Assessment of Patients with Parkinson’s Disease Off and On Treatment: Machine vs. Deep-Learning Comparison

2023 - SENSORS
Costantini, G.; Cesarini, V.; Di Leo, P.; Amato, F.; Suppa, A.; Asci, F.; Pisani, A.; Calculli, A.; Saggio, G.

Four Days Are Enough to Provide a Reliable Daily Step Count in Mild to Moderate Parkinson’s Disease through a Commercial Smartwatch

2023 - SENSORS
Bianchini, Edoardo; Galli, Silvia; Alborghetti, Marika; DE CAROLIS, Lanfranco; Zampogna, Alessandro; Hansen, Clint; Vuillerme, Nicolas; Suppa, Antonio; Pontieri, Francesco E.

Wearable Electrochemical Sensors in Parkinson’s Disease

2022 - SENSORS
Asci, F.; Vivacqua, G.; Zampogna, A.; D'onofrio, V.; Mazzeo, A.; Suppa, A.

Predicting axial impairment in parkinson’s disease through a single inertial sensor

2022 - SENSORS
Borzi, L.; Mazzetta, I.; Zampogna, A.; Suppa, A.; Irrera, F.; Olmo, G.

Machine Learning Approach to Support the Detection of Parkinson's Disease in {IMU}-Based Gait Analysis

2022 - SENSORS
Trabassi, Dante; Serrao, Mariano; Varrecchia, Tiwana; Ranavolo, Alberto; Coppola, Gianluca; De Icco, Roberto; Tassorelli, Cristina; Castiglia, Stefano Filippo

Step-Counting Accuracy of a Commercial Smartwatch in Mild-to-Moderate PD Patients and Effect of Spatiotemporal Gait Parameters, Laterality of Symptoms, Pharmacological State, and Clinical Variables

2022 - SENSORS
Bianchini, Edoardo; Caliò, Bianca; Alborghetti, Marika; Rinaldi, Domiziana; Hansen, Clint; Vuillerme, Nicolas; Maetzler, Walter; Pontieri, Francesco E.

Machine learning and wearable sensors for the early detection of balance disorders in Parkinson's disease

2022 - SENSORS
Castelli Gattinara Di Zubiena, Francesco; Menna, Greta; Mileti, Ilaria; Zampogna, Alessandro; Asci, Francesco; Paoloni, Marco; Suppa, Antonio; Del Prete, Zaccaria; Palermo, Eduardo

Ability of a set of trunk inertial indexes of gait to identify gait instability and recurrent fallers in parkinson’s disease

2021 - SENSORS
Castiglia, S. F.; Tatarelli, A.; Trabassi, D.; De Icco, R.; Grillo, V.; Ranavolo, A.; Varrecchia, T.; Magnifica, F.; Di Lenola, D.; Coppola, G.; Ferrari, D.; Denaro, A.; Tassorelli, C.; Serrao, M.

Prediction of freezing of gait in parkinson’s disease using wearables and machine learning

2021 - SENSORS
Borzi, L.; Mazzetta, I.; Zampogna, A.; Suppa, A.; Olmo, G.; Irrera, F.

Sensor network for analyzing upper body strategies in parkinson’s disease versus normative kinematic patterns

2021 - SENSORS
Romano, P.; Pournajaf, S.; Ottaviani, M.; Gison, A.; Infarinato, F.; Mantoni, C.; De Pandis, M. F.; Franceschini, M.; Goffredo, M.

Foot Pressure Wearable Sensors for Freezing of Gait Detection in Parkinson’s Disease

2021 - SENSORS
Marcante, A; Di Marco, R; Gentile, G; Pellicano, C; Assogna, F; Pontieri, Fe; Spalletta, G; Macchiusi, L; Gatsios, D; Giannakis, A; Chondrogiorgi, M; Konitsiotis, S; Fotiadis, Di; Antonini, A

Muscle Synergies in Parkinson’s Disease

2020 - SENSORS
Mileti, Ilaria; Zampogna, Alessandro; Santuz, Alessandro; Asci, Francesco; Del Prete, Zaccaria; Arampatzis, Adamantios; Palermo, Eduardo; Suppa, Antonio

Fifteen years of wireless sensors for balance assessment in neurological disorders

2020 - SENSORS
Zampogna, Alessandro; Mileti, Ilaria; Palermo, Eduardo; Celletti, Claudia; Paoloni, Marco; Manoni, Alessandro; Mazzetta, Ivan; Dalla Costa, Gloria; Pérez-López, Carlos; Camerota, Filippo; Leocani, Letizia; Cabestany, Joan; Irrera, Fernanda; Suppa, Antonio

Shedding light on nocturnal movements in parkinson’s disease: Evidence from wearable technologies

2020 - SENSORS
Zampogna, A.; Manoni, A.; Asci, F.; Liguori, C.; Irrera, F.; Suppa, A.

Wearable sensors system for an improved analysis of freezing of gait in Parkinson's disease using electromyography and inertial signals

2019 - SENSORS
Mazzetta, Ivan; Zampogna, Alessandro; Suppa, Antonio; Gumiero, Alessandro; Pessione, Marco; Irrera, Fernanda

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