Exhibitors 2023
- ART
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A.I. per la grafo-fonologia nel Parkinson e Depressione
In the research work, machine learning models were developed, based on the analysis of graph, handwriting and vocal signals for the screening and telemonitoring of Parkinson's and Depression.
The data collection, through a tablet and specific acquisition software, allowed us to know the spectrogram and information such as position, inclination and pressure of the digital pen in real time.
The features were extracted which allowed us to train models which showed interesting accuracy values, above 90%, in line and in some cases better performing than the current scientific literature.
Antonio Pallotti, Francesca Laganaro, Annalisa Mancini, Raffaella Calabrese, Matteo Angelucci, Emanuele Piuzzi, Alessandra Paffi, Giuseppe Marano, Marianna Mazza, Giovanni Albani, Giuseppe Veneziano
Antonio Pallotti, Researcher, Technoscience & Professor, San Raffaele University of Rome.
Francesca Laganaro, Clinical Engineer, Sapienza University of Rome.
Annalisa Mancini, Biomedical Engineer, Sapienza University of Rome.
Raffaella Calabrese, Health Economist, San Raffaele University of Rome.
Matteo Angelucci, Health Economist, San Raffaele University of Rome.
Emanuele Piuzzi, Associate Professor, Sapienza University of Rome.
Alessandra Paffi, Researcher, Sapienza University of Rome.
Giuseppe Marano, Graphologist, Italian-French Graphological Association.
Mariana Mazza, Psychiatrist, Gemelli University Hospital.
Giuseppe Albani, Neurologist, IRCCS Auxologico.
Giuseppe Veneziano, Neurologist, Le Terrazze Care Home.
