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Gianluca Amprimo
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2020 – today
- 2024
- [j11]Gianluca Amprimo, Giulia Masi, Gabriella Olmo, Claudia Ferraris:
Deep Learning for hand tracking in Parkinson's Disease video-based assessment: Current and future perspectives. Artif. Intell. Medicine 154: 102914 (2024) - [j10]Gianluca Amprimo, Giulia Masi, Giuseppe Pettiti, Gabriella Olmo, Lorenzo Priano, Claudia Ferraris:
Hand tracking for clinical applications: Validation of the Google MediaPipe Hand (GMH) and the depth-enhanced GMH-D frameworks. Biomed. Signal Process. Control. 96: 106508 (2024) - [j9]Lorenzo Martini, Gianluca Amprimo, Stefano Di Carlo, Gabriella Olmo, Claudia Ferraris, Alessandro Savino, Roberta Bardini:
Neuronal Spike Shapes (NSS): A straightforward approach to investigate heterogeneity in neuronal excitability states. Comput. Biol. Medicine 168: 107783 (2024) - [j8]Giulia Masi, Gianluca Amprimo, Claudia Ferraris, Lorenzo Priano:
Correction: Masi et al. Stress and Workload Assessment in Aviation - A Narrative Review. Sensors 2023, 23, 3556. Sensors 24(2): 690 (2024) - 2023
- [j7]Giulia Masi, Gianluca Amprimo, Claudia Ferraris, Lorenzo Priano:
Stress and Workload Assessment in Aviation - A Narrative Review. Sensors 23(7): 3556 (2023) - [c8]Claudia Ferraris, Gianluca Amprimo, Luca Vismara, Alessandro Mauro, Giuseppe Pettiti:
Enhancing upper limb mobility through gamified tasks and azure kinect: a preliminary study in post-stroke subjects. AIxAS@AI*IA 2023: 53-66 - [c7]Gianluca Amprimo, Irene Rechichi, Claudia Ferraris, Gabriella Olmo:
Objective Assessment of the Finger Tapping Task in Parkinson's Disease and Control Subjects using Azure Kinect and Machine Learning. CBMS 2023: 640-645 - [c6]Giulia Masi, Gianluca Amprimo, Irene Rechichi, Claudia Ferraris, Lorenzo Priano:
Electrodermal Activity in the Evaluation of Engagement for Telemedicine Applications. PerCom Workshops 2023: 130-135 - [i1]Gianluca Amprimo, Giulia Masi, Giuseppe Pettiti, Gabriella Olmo, Lorenzo Priano, Claudia Ferraris:
Hand tracking for clinical applications: validation of the Google MediaPipe Hand (GMH) and the depth-enhanced GMH-D frameworks. CoRR abs/2308.01088 (2023) - 2022
- [j6]Veronica Cimolin, Luca Vismara, Claudia Ferraris, Gianluca Amprimo, Giuseppe Pettiti, Roberto Lopez, Manuela Galli, Riccardo Cremascoli, Serena Sinagra, Alessandro Mauro, Lorenzo Priano:
Computation of Gait Parameters in Post Stroke and Parkinson's Disease: A Comparative Study Using RGB-D Sensors and Optoelectronic Systems. Sensors 22(3): 824 (2022) - [j5]Serena Cerfoglio, Claudia Ferraris, Luca Vismara, Gianluca Amprimo, Lorenzo Priano, Giuseppe Pettiti, Manuela Galli, Alessandro Mauro, Veronica Cimolin:
Kinect-Based Assessment of Lower Limbs during Gait in Post-Stroke Hemiplegic Patients: A Narrative Review. Sensors 22(13): 4910 (2022) - [j4]Claudia Ferraris, Gianluca Amprimo, Giulia Masi, Luca Vismara, Riccardo Cremascoli, Serena Sinagra, Giuseppe Pettiti, Alessandro Mauro, Lorenzo Priano:
Evaluation of Arm Swing Features and Asymmetry during Gait in Parkinson's Disease Using the Azure Kinect Sensor. Sensors 22(16): 6282 (2022) - [j3]Gianluca Amprimo, Giulia Masi, Lorenzo Priano, Corrado Azzaro, Federica Galli, Giuseppe Pettiti, Alessandro Mauro, Claudia Ferraris:
Assessment Tasks and Virtual Exergames for Remote Monitoring of Parkinson's Disease: An Integrated Approach Based on Azure Kinect. Sensors 22(21): 8173 (2022) - [j2]Claudia Ferraris, Irene Ronga, Roberto Pratola, Guido Coppo, Tea Bosso, Sara Falco, Gianluca Amprimo, Giuseppe Pettiti, Simone Lo Priore, Lorenzo Priano, Alessandro Mauro, Debora Desideri:
Usability of the REHOME Solution for the Telerehabilitation in Neurological Diseases: Preliminary Results on Motor and Cognitive Platforms. Sensors 22(23): 9467 (2022) - [c5]Gianluca Amprimo, Claudia Ferraris, Giulia Masi, Giuseppe Pettiti, Lorenzo Priano:
GMH-D: Combining Google MediaPipe and RGB-Depth Cameras for Hand Motor Skills Remote Assessment. ICDH 2022: 132-141 - [c4]Claudia Ferraris, Gianluca Amprimo, Giuseppe Pettiti, Giulia Masi, Lorenzo Priano:
Automatic Detector of Gait Alterations using RGB-D sensor and supervised classifiers: a preliminary study. ISCC 2022: 1-6 - [c3]Claudia Ferraris, Giuseppe Pettiti, Gianluca Amprimo, Debora Desideri, Roberto Pratola, Katiuscia Sacco, Irene Ronga, Guido Coppo, Danilo Soprani, Jacopo Barbagallo, Santina Antinoro, Paolo Ariano, Luigi Privitera:
Telerehabilitation of cognitive, motor and sleep disorders in neurological pathologies: the REHOME project. ISCC 2022: 1-6 - [c2]Gianluca Amprimo, Giulia Masi, Claudia Ferraris, Gabriella Olmo, Lorenzo Priano:
A Preliminary Comparison between Traditional and Gamified Leg Agility Assessment in Parkinsonian Subjects. SeGAH 2022: 1-8 - 2021
- [j1]Claudia Ferraris, Veronica Cimolin, Luca Vismara, Valerio Votta, Gianluca Amprimo, Riccardo Cremascoli, Manuela Galli, Roberto Nerino, Alessandro Mauro, Lorenzo Priano:
Monitoring of Gait Parameters in Post-Stroke Individuals: A Feasibility Study Using RGB-D Sensors. Sensors 21(17): 5945 (2021) - [c1]Gianluca Amprimo, Giuseppe Pettiti, Lorenzo Priano, Alessandro Mauro, Claudia Ferraris:
Kinect-based Solution for the Home Monitoring of Gait and Balance in Elderly People with and without Neurological Diseases. AIxAS@AI*IA 2021: 70-80
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