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FERRARIS, CLAUDIA

FERRARIS, CLAUDIA  

Istituto di Elettronica e di Ingegneria dell'Informazione e delle Telecomunicazioni - IEIIT  

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Titolo Data di pubblicazione Autore(i) File
A Data-driven Exploration and Prediction of Deep Brain Stimulation Effects on Gait in Parkinson's Disease 1-gen-2025 Amprimo, Gianluca; Mei, Zhongke; Ferraris, Claudia; Olmo, Gabriella; Ravi, Deepak K.
At-home assessment of postural stability in parkinson's disease: a vision-based approach 1-gen-2024 Ferraris, Claudia; Votta, Valerio; Nerino, Roberto; Chimienti, Antonio; Priano, Lorenzo; Mauro, Alessandro
Deep Learning for hand tracking in Parkinson’s Disease video-based assessment: Current and future perspectives 1-gen-2024 Amprimo, Gianluca; Masi, Giulia; Olmo, Gabriella; Ferraris, Claudia
Estimation of gait parameters in healthy and hemiplegic individuals using Azure Kinect: a comparative study with the optoelectronic system 1-gen-2024 Cerfoglio, Serena; Ferraris, Claudia; Vismara, Luca; Amprimo, Gianluca; Priano, Lorenzo; Bigoni, Matteo; Galli, Manuela; Mauro, Alessandro; Cimolin, Veronica
Exergames as a rehabilitation tool to enhance the upper limbs functionality and performance in chronic stroke survivors: a preliminary study 1-gen-2024 Vismara, Luca; Ferraris, Claudia; Amprimo, Gianluca; Pettiti, Giuseppe; Buffone, Francesca; Tarantino, Andrea Gianmaria; Mauro, Alessandro; Priano, Lorenzo
Hand tracking for clinical applications: Validation of the Google MediaPipe Hand (GMH) and the depth-enhanced GMH-D frameworks 1-gen-2024 Amprimo, Gianluca; Masi, Giulia; Pettiti, Giuseppe; Olmo, Gabriella; Priano, Lorenzo; Ferraris, Claudia
Machine-Learning-Based Validation of Microsoft Azure Kinect in Measuring Gait Profiles 1-gen-2024 Ferraris, Claudia; Amprimo, Gianluca; Cerfoglio, Serena; Masi, Giulia; Vismara, Luca; Cimolin, Veronica
Neuronal Spike Shapes (NSS): A straightforward approach to investigate heterogeneity in neuronal excitability states 1-gen-2024 Martini, L; Amprimo, G; Di Carlo, S; Olmo, G; Ferraris, C; Savino, A; Bardini, R
Computer Vision and Image Processing in Structural Health Monitoring: Overview of Recent Applications 1-gen-2023 Ferraris, C; Amprimo, G; Pettiti, G
Effects of Exergaming on motor performance in Parkinson's disease: a pilot study using Azure Kinect 1-gen-2023 Ferraris, Claudia; Amprimo, Gianluca; Pettiti, Giuseppe; Galli, Federica; Priano, Lorenzo; Mauro, Alessandro
Electrodermal Activity in the Evaluation of Engagement for Telemedicine Applications 1-gen-2023 G. Masi ; G. Amprimo ,; I. Rechichi ; C.Ferraris; L.Priano
Enhancing upper limb mobility through gamified tasks and Azure Kinect: a preliminary study in post-stroke subjects 1-gen-2023 Amprimo, Gianluca; Pettiti, Giuseppe; Ferraris, Claudia
Measuring Brain Activation Patterns from Raw Single-Channel EEG during Exergaming: A Pilot Study 1-gen-2023 Amprimo, Gianluca; Rechichi, Irene; Ferraris, Claudia; Olmo, Gabriella
New Perspectives in Nonintrusive Sleep Monitoring for Neurodegenerative Diseases--A Narrative Review 1-gen-2023 Masi, G; Amprimo, G; Priano, L; Ferraris, C
Objective Assessment of the Finger Tapping Task in Parkinson's Disease and Control Subjects using Azure Kinect and Machine Learning 1-gen-2023 G.Amprimo ,; I.Rechichi ; C.Ferraris ; G.Olmo
Stress and Workload Assessment in Aviation--A Narrative Review 1-gen-2023 Masi, G; Amprimo, G; Ferraris, C; Priano, L
A Preliminary Comparison between Traditional and Gamified Leg Agility Assessment in Parkinsonian Subjects 1-gen-2022 Gamprimo, ; Gmasi, ; Cferraris, ; Golmo, ; Lpriano,
Assessment Tasks and Virtual Exergames for Remote Monitoring of Parkinson’s Disease: An Integrated Approach Based on Azure Kinect 1-gen-2022 Amprimo, Gianluca; Masi, Giulia; Priano, Lorenzo; Azzaro, Corrado; Galli, Federica; Pettiti, Giuseppe; Mauro, Alessandro; Ferraris, Claudia
Automatic Detector of Gait Alterations using RGB-D sensor and supervised classifiers: a preliminary study 1-gen-2022 Ferraris, C; Amprimo, G; Pettiti, G; Masi, G; Priano, L
Computation of Gait Parameters in Post Stroke and Parkinson's Disease: A Comparative Study Using RGB-D Sensors and Optoelectronic Systems 1-gen-2022 Cimolin, V; Vismara, L; Ferraris, C; Amprimo, G; Pettiti, G; Lopez, R; Galli, M; Cremascoli, R; Sinagra, S; Mauro, A; Priano, L