This study aims at the implementation of an Artificial Intelligence approach to the use of music for supporting the neurorehabilitation of children with brain injuries or neurological difficulties.The output of this study will be the implementation of an app for mobile devices with games to be played by pediatric patients, allowing time for their cognitive and motor abilities to recover while enjoying pleasant activities. In particular, a Neural Network Classification approach is proposed in order to automatically adapt the game difficulty to the current cognitive capabilities of the child.

An integrated music and Artificial Intelligence system in support of pediatric neurorehabilitation / Baldisseri, Federico; Maiani, Arturo; Montecchiani, Edoardo; Delli Priscoli, Francesco; Giuseppi, Alessandro; Menegatti, Danilo; Fogliati, Vincenzo. - In: HEALTHCARE. - ISSN 2227-9032. - 10:10(2022). [10.3390/healthcare10102014]

An integrated music and Artificial Intelligence system in support of pediatric neurorehabilitation

Baldisseri, Federico
Primo
;
Maiani, Arturo;Montecchiani, Edoardo;Delli Priscoli, Francesco;Giuseppi, Alessandro
;
Menegatti, Danilo
;
2022

Abstract

This study aims at the implementation of an Artificial Intelligence approach to the use of music for supporting the neurorehabilitation of children with brain injuries or neurological difficulties.The output of this study will be the implementation of an app for mobile devices with games to be played by pediatric patients, allowing time for their cognitive and motor abilities to recover while enjoying pleasant activities. In particular, a Neural Network Classification approach is proposed in order to automatically adapt the game difficulty to the current cognitive capabilities of the child.
2022
artificial intelligence; music; neural network classification
01 Pubblicazione su rivista::01a Articolo in rivista
An integrated music and Artificial Intelligence system in support of pediatric neurorehabilitation / Baldisseri, Federico; Maiani, Arturo; Montecchiani, Edoardo; Delli Priscoli, Francesco; Giuseppi, Alessandro; Menegatti, Danilo; Fogliati, Vincenzo. - In: HEALTHCARE. - ISSN 2227-9032. - 10:10(2022). [10.3390/healthcare10102014]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1659757
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