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Recent Considerations on Gaming Console Based Training for Multiple Sclerosis Rehabilitation
Multiple Sclerosis (MS) is a well-known, chronic demyelinating disease of the Central Nervous System (CNS) and one of the most common causes of disability in young adults. In this context, one of the major challenges in patients’ rehabilitation is to maintain the gained motor abilities in terms of f...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8884021/ https://www.ncbi.nlm.nih.gov/pubmed/35225946 http://dx.doi.org/10.3390/medsci10010013 |
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author | Celesti, Antonio Cimino, Vincenzo Naro, Antonino Portaro, Simona Fazio, Maria Villari, Massimo Calabró, Rocco Salvatore |
author_facet | Celesti, Antonio Cimino, Vincenzo Naro, Antonino Portaro, Simona Fazio, Maria Villari, Massimo Calabró, Rocco Salvatore |
author_sort | Celesti, Antonio |
collection | PubMed |
description | Multiple Sclerosis (MS) is a well-known, chronic demyelinating disease of the Central Nervous System (CNS) and one of the most common causes of disability in young adults. In this context, one of the major challenges in patients’ rehabilitation is to maintain the gained motor abilities in terms of functional independence. This could be partially obtained by applying new emerging and cutting-edge virtual/augmented reality and serious game technologies for a playful, noninvasive treatment that was demonstrated to be quite efficient and effective in enhancing the clinical status of patients and their (re)integration into society. Recently, Cloud computing and Internet of Things (IoT) emerged as technologies that can potentially revolutionize patients’ care. To achieve such a goal, a system that on one hand gathers patients’ clinical parameters through a network of medical IoT devices equipped with sensors and that, on the other hand, sends the collected data to a hospital Cloud for processing and analytics is required. In this paper, we assess the effectiveness of a Nintendo Wii Fit(®) Plus Balance Board (WFBB) used as an IoT medical device adopted in a rehabilitation training program aimed at improving the physical abilities of MS patients (pwMS). In particular, the main scientific contribution of this paper is twofold: (i) to present a preliminary new pilot study investigating whether exercises based on the Nintendo Wii Fit(®) balance board included in a rehabilitation training program could improve physical abilities and Quality of Life (QoL) of patients compared to that of a conventional four-week rehabilitation training program; (ii) to discuss how such a rehabilitation training program could be adopted in the perspective of near future networks of medical IoT-based rehabilitation devices, interconnected with a hospital Cloud system for big data processing to improve patients’ therapies and support the scientific research about motor rehabilitation. Results demonstrate the advantages of our approach from both health and technological points of view. |
format | Online Article Text |
id | pubmed-8884021 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-88840212022-03-01 Recent Considerations on Gaming Console Based Training for Multiple Sclerosis Rehabilitation Celesti, Antonio Cimino, Vincenzo Naro, Antonino Portaro, Simona Fazio, Maria Villari, Massimo Calabró, Rocco Salvatore Med Sci (Basel) Article Multiple Sclerosis (MS) is a well-known, chronic demyelinating disease of the Central Nervous System (CNS) and one of the most common causes of disability in young adults. In this context, one of the major challenges in patients’ rehabilitation is to maintain the gained motor abilities in terms of functional independence. This could be partially obtained by applying new emerging and cutting-edge virtual/augmented reality and serious game technologies for a playful, noninvasive treatment that was demonstrated to be quite efficient and effective in enhancing the clinical status of patients and their (re)integration into society. Recently, Cloud computing and Internet of Things (IoT) emerged as technologies that can potentially revolutionize patients’ care. To achieve such a goal, a system that on one hand gathers patients’ clinical parameters through a network of medical IoT devices equipped with sensors and that, on the other hand, sends the collected data to a hospital Cloud for processing and analytics is required. In this paper, we assess the effectiveness of a Nintendo Wii Fit(®) Plus Balance Board (WFBB) used as an IoT medical device adopted in a rehabilitation training program aimed at improving the physical abilities of MS patients (pwMS). In particular, the main scientific contribution of this paper is twofold: (i) to present a preliminary new pilot study investigating whether exercises based on the Nintendo Wii Fit(®) balance board included in a rehabilitation training program could improve physical abilities and Quality of Life (QoL) of patients compared to that of a conventional four-week rehabilitation training program; (ii) to discuss how such a rehabilitation training program could be adopted in the perspective of near future networks of medical IoT-based rehabilitation devices, interconnected with a hospital Cloud system for big data processing to improve patients’ therapies and support the scientific research about motor rehabilitation. Results demonstrate the advantages of our approach from both health and technological points of view. MDPI 2022-02-11 /pmc/articles/PMC8884021/ /pubmed/35225946 http://dx.doi.org/10.3390/medsci10010013 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 Celesti, Antonio Cimino, Vincenzo Naro, Antonino Portaro, Simona Fazio, Maria Villari, Massimo Calabró, Rocco Salvatore Recent Considerations on Gaming Console Based Training for Multiple Sclerosis Rehabilitation |
title | Recent Considerations on Gaming Console Based Training for Multiple Sclerosis Rehabilitation |
title_full | Recent Considerations on Gaming Console Based Training for Multiple Sclerosis Rehabilitation |
title_fullStr | Recent Considerations on Gaming Console Based Training for Multiple Sclerosis Rehabilitation |
title_full_unstemmed | Recent Considerations on Gaming Console Based Training for Multiple Sclerosis Rehabilitation |
title_short | Recent Considerations on Gaming Console Based Training for Multiple Sclerosis Rehabilitation |
title_sort | recent considerations on gaming console based training for multiple sclerosis rehabilitation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8884021/ https://www.ncbi.nlm.nih.gov/pubmed/35225946 http://dx.doi.org/10.3390/medsci10010013 |
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