An Integrated Music and Artificial Intelligence System in Support of Pediatric Neurorehabilitation

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 playe...

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Autores principales: Baldisseri, Federico, Maiani, Arturo, Montecchiani, Edoardo, Delli Priscoli, Francesco, Giuseppi, Alessandro, Menegatti, Danilo, Fogliati, Vincenzo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9602698/
https://www.ncbi.nlm.nih.gov/pubmed/36292460
http://dx.doi.org/10.3390/healthcare10102014
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author Baldisseri, Federico
Maiani, Arturo
Montecchiani, Edoardo
Delli Priscoli, Francesco
Giuseppi, Alessandro
Menegatti, Danilo
Fogliati, Vincenzo
author_facet Baldisseri, Federico
Maiani, Arturo
Montecchiani, Edoardo
Delli Priscoli, Francesco
Giuseppi, Alessandro
Menegatti, Danilo
Fogliati, Vincenzo
author_sort Baldisseri, Federico
collection PubMed
description 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.
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spelling pubmed-96026982022-10-27 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 Healthcare (Basel) Article 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. MDPI 2022-10-12 /pmc/articles/PMC9602698/ /pubmed/36292460 http://dx.doi.org/10.3390/healthcare10102014 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Baldisseri, Federico
Maiani, Arturo
Montecchiani, Edoardo
Delli Priscoli, Francesco
Giuseppi, Alessandro
Menegatti, Danilo
Fogliati, Vincenzo
An Integrated Music and Artificial Intelligence System in Support of Pediatric Neurorehabilitation
title An Integrated Music and Artificial Intelligence System in Support of Pediatric Neurorehabilitation
title_full An Integrated Music and Artificial Intelligence System in Support of Pediatric Neurorehabilitation
title_fullStr An Integrated Music and Artificial Intelligence System in Support of Pediatric Neurorehabilitation
title_full_unstemmed An Integrated Music and Artificial Intelligence System in Support of Pediatric Neurorehabilitation
title_short An Integrated Music and Artificial Intelligence System in Support of Pediatric Neurorehabilitation
title_sort integrated music and artificial intelligence system in support of pediatric neurorehabilitation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9602698/
https://www.ncbi.nlm.nih.gov/pubmed/36292460
http://dx.doi.org/10.3390/healthcare10102014
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