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Home-based rehabilitation of the shoulder using auxiliary systems and artificial intelligence: an overview

2023-08-11Journal article Open access
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dc.contributor.authorCunha, Bruno
dc.contributor.authorFerreira, Ricardo
dc.contributor.authorS. P. Sousa, Andreia
dc.date.accessioned2023-10-12T13:22:36Z
dc.date.available2023-10-12T13:22:36Z
dc.date.issued2023-08-11
dc.description.abstractAdvancements 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.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationCunha, 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/s23167100pt_PT
dc.identifier.doidoi.org/10.3390/s23167100pt_PT
dc.identifier.eissn1424-8220
dc.identifier.urihttp://hdl.handle.net/10400.22/23683
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationThis research was supported by the Fundação para a Ciência e Tecnologia (FCT) through R&D Units funding [UIDB/05210/2020] and Fundo Europeu de Desenvolvimento Regional (FEDER) through the Programa Operacional Regional do Norte e Programa Operacional Regional de Lisboa 2020 [NORTE-01-0145-FEDER-000045].pt_PT
dc.relation.publisherversionhttps://www.mdpi.com/1424-8220/23/16/7100pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectHome-based rehabilitationpt_PT
dc.subjectWearablespt_PT
dc.subjectRobotspt_PT
dc.subjectExoskeletonspt_PT
dc.subjectMachine learningpt_PT
dc.subjectVirtual realitypt_PT
dc.subjectAugmented realitypt_PT
dc.subjectSerious gamespt_PT
dc.titleHome-based rehabilitation of the shoulder using auxiliary systems and artificial intelligence: an overviewpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage22pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleSensorspt_PT
oaire.citation.volume23(16)pt_PT
person.familyNameAlmeida Cunha
person.familyNamePinheiro de Sousa
person.givenNameBruno Miguel
person.givenNameAndreia Sofia
person.identifiernORyaXwAAAAJ
person.identifier1070119
person.identifier.ciencia-id581D-067C-6E6C
person.identifier.ciencia-id2216-9200-7EF6
person.identifier.orcid0000-0002-8661-3080
person.identifier.orcid0000-0001-9528-1463
person.identifier.ridC-7138-2019
person.identifier.scopus-author-id56404142800
person.identifier.scopus-author-id55950021600
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication9b204d75-9d7f-4144-85dc-0c3741cce1df
relation.isAuthorOfPublicationaeecfe02-e80d-49ab-9033-a1ade15658f2
relation.isAuthorOfPublication.latestForDiscovery9b204d75-9d7f-4144-85dc-0c3741cce1df

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