Home-based rehabilitation of the shoulder using auxiliary systems and artificial intelligence: an overview
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.22/23683 |
Resumo: | Advancements in modern medicine have bolstered the usage of home-based rehabilitation services for patients, particularly those recovering from diseases or conditions that necessitate a structured rehabilitation process. Understanding the technological factors that can influence the efficacy of home-based rehabilitation is crucial for optimizing patient outcomes. As technologies continue to evolve rapidly, it is imperative to document the current state of the art and elucidate the key features of the hardware and software employed in these rehabilitation systems. This narrative review aims to provide a summary of the modern technological trends and advancements in home-based shoulder rehabilitation scenarios. It specifically focuses on wearable devices, robots, exoskeletons, machine learning, virtual and augmented reality, and serious games. Through an in-depth analysis of existing literature and research, this review presents the state of the art in home-based rehabilitation systems, highlighting their strengths and limitations. Furthermore, this review proposes hypotheses and potential directions for future upgrades and enhancements in these technologies. By exploring the integration of these technologies into home-based rehabilitation, this review aims to shed light on the current landscape and offer insights into the future possibilities for improving patient outcomes and optimizing the effectiveness of home-based rehabilitation programs. |
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Home-based rehabilitation of the shoulder using auxiliary systems and artificial intelligence: an overviewHome-based rehabilitationWearablesRobotsExoskeletonsMachine learningVirtual realityAugmented realitySerious gamesAdvancements in modern medicine have bolstered the usage of home-based rehabilitation services for patients, particularly those recovering from diseases or conditions that necessitate a structured rehabilitation process. Understanding the technological factors that can influence the efficacy of home-based rehabilitation is crucial for optimizing patient outcomes. As technologies continue to evolve rapidly, it is imperative to document the current state of the art and elucidate the key features of the hardware and software employed in these rehabilitation systems. This narrative review aims to provide a summary of the modern technological trends and advancements in home-based shoulder rehabilitation scenarios. It specifically focuses on wearable devices, robots, exoskeletons, machine learning, virtual and augmented reality, and serious games. Through an in-depth analysis of existing literature and research, this review presents the state of the art in home-based rehabilitation systems, highlighting their strengths and limitations. Furthermore, this review proposes hypotheses and potential directions for future upgrades and enhancements in these technologies. By exploring the integration of these technologies into home-based rehabilitation, this review aims to shed light on the current landscape and offer insights into the future possibilities for improving patient outcomes and optimizing the effectiveness of home-based rehabilitation programs.MDPIRepositório Científico do Instituto Politécnico do PortoCunha, BrunoFerreira, RicardoS. P. Sousa, Andreia2023-10-12T13:22:36Z2023-08-112023-08-11T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/23683engCunha, B., Ferreira, R., & Sousa, A. S. P. (2023). Home-Based Rehabilitation of the Shoulder Using Auxiliary Systems and Artificial Intelligence: An Overview. Sensors, 23(16), Artigo 16. https://doi.org/10.3390/s23167100doi.org/10.3390/s231671001424-8220info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-10-18T01:46:02Zoai:recipp.ipp.pt:10400.22/23683Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:35:52.478933Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Home-based rehabilitation of the shoulder using auxiliary systems and artificial intelligence: an overview |
title |
Home-based rehabilitation of the shoulder using auxiliary systems and artificial intelligence: an overview |
spellingShingle |
Home-based rehabilitation of the shoulder using auxiliary systems and artificial intelligence: an overview Cunha, Bruno Home-based rehabilitation Wearables Robots Exoskeletons Machine learning Virtual reality Augmented reality Serious games |
title_short |
Home-based rehabilitation of the shoulder using auxiliary systems and artificial intelligence: an overview |
title_full |
Home-based rehabilitation of the shoulder using auxiliary systems and artificial intelligence: an overview |
title_fullStr |
Home-based rehabilitation of the shoulder using auxiliary systems and artificial intelligence: an overview |
title_full_unstemmed |
Home-based rehabilitation of the shoulder using auxiliary systems and artificial intelligence: an overview |
title_sort |
Home-based rehabilitation of the shoulder using auxiliary systems and artificial intelligence: an overview |
author |
Cunha, Bruno |
author_facet |
Cunha, Bruno Ferreira, Ricardo S. P. Sousa, Andreia |
author_role |
author |
author2 |
Ferreira, Ricardo S. P. Sousa, Andreia |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Repositório Científico do Instituto Politécnico do Porto |
dc.contributor.author.fl_str_mv |
Cunha, Bruno Ferreira, Ricardo S. P. Sousa, Andreia |
dc.subject.por.fl_str_mv |
Home-based rehabilitation Wearables Robots Exoskeletons Machine learning Virtual reality Augmented reality Serious games |
topic |
Home-based rehabilitation Wearables Robots Exoskeletons Machine learning Virtual reality Augmented reality Serious games |
description |
Advancements in modern medicine have bolstered the usage of home-based rehabilitation services for patients, particularly those recovering from diseases or conditions that necessitate a structured rehabilitation process. Understanding the technological factors that can influence the efficacy of home-based rehabilitation is crucial for optimizing patient outcomes. As technologies continue to evolve rapidly, it is imperative to document the current state of the art and elucidate the key features of the hardware and software employed in these rehabilitation systems. This narrative review aims to provide a summary of the modern technological trends and advancements in home-based shoulder rehabilitation scenarios. It specifically focuses on wearable devices, robots, exoskeletons, machine learning, virtual and augmented reality, and serious games. Through an in-depth analysis of existing literature and research, this review presents the state of the art in home-based rehabilitation systems, highlighting their strengths and limitations. Furthermore, this review proposes hypotheses and potential directions for future upgrades and enhancements in these technologies. By exploring the integration of these technologies into home-based rehabilitation, this review aims to shed light on the current landscape and offer insights into the future possibilities for improving patient outcomes and optimizing the effectiveness of home-based rehabilitation programs. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-10-12T13:22:36Z 2023-08-11 2023-08-11T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.22/23683 |
url |
http://hdl.handle.net/10400.22/23683 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Cunha, B., Ferreira, R., & Sousa, A. S. P. (2023). Home-Based Rehabilitation of the Shoulder Using Auxiliary Systems and Artificial Intelligence: An Overview. Sensors, 23(16), Artigo 16. https://doi.org/10.3390/s23167100 doi.org/10.3390/s23167100 1424-8220 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
MDPI |
publisher.none.fl_str_mv |
MDPI |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1817553330302353408 |