KinesiOS: A Telerehabilitation and Functional Analysis System for Post-Stroke Physical Rehabilitation Therapies?

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorUniversidade Estadual de Campinas (UNICAMP)-
Autor(es): dc.contributorBrazilian Institute of Neuroscience and Neurotechnology-
Autor(es): dc.contributorFederal University of São João del-Rei-
Autor(es): dc.creatorScudeletti, Luiz Rogério-
Autor(es): dc.creatorBrandão, Alexandre Fonseca-
Autor(es): dc.creatorDias, Diego Roberto Colombo-
Autor(es): dc.creatorBrega, José Remo Ferreira-
Data de aceite: dc.date.accessioned2025-08-21T21:50:08Z-
Data de disponibilização: dc.date.available2025-08-21T21:50:08Z-
Data de envio: dc.date.issued2022-05-01-
Data de envio: dc.date.issued2022-05-01-
Data de envio: dc.date.issued2020-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1007/978-3-030-86960-1_13-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/234198-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/234198-
Descrição: dc.descriptionThe stroke (also known as a Cerebrovascular Accident) is one of the medical conditions that most kills and incapacitates people in the world, affecting men, women and children of many different age brackets. Studies have been presented in recent years addressing the use of systems for motion capture in post stroke rehabilitation, showing that these tools could be just as efficient as the more traditional methods. In this study, we shall present KinesiOS, a system for telerehabilitation and recognition of movements for the motor and neurofunctional assessment of patients who are undergoing rehabilitation. The system tracks the joints in the human body based on their respective spatial coordinates, and then using the obtained data to construct a guide to movements in the form of a virtual skeleton, while measuring the amplitude of the movements (also known as a Range of Motion) within a certain motor action and showing the results in real time. The tracking of the joints is carried out using a Microsoft Kinect® sensor v2, while data processing, we used the C# programming language. We created the visualizations using the Windows Presentation Foundation® technology, and the data was saved in a cloud structure using the MongoDB® database. Preliminary tests performed on six healthy volunteers showed the efficiency of the system for the calculation of amplitude of movements, enabling data analysis in real time and through telemonitoring. KinesiOS is an alternative tool, portable and low-cost, compared with the traditional systems based on tracking of joints.-
Descrição: dc.descriptionSão Paulo State University-
Descrição: dc.descriptionGleb Wataghin Institute of Physics University of Campinas-
Descrição: dc.descriptionBrazilian Institute of Neuroscience and Neurotechnology-
Descrição: dc.descriptionComputer Department Federal University of São João del-Rei-
Descrição: dc.descriptionInterfaces and Visualization Lab. São Paulo State University-
Descrição: dc.descriptionSão Paulo State University-
Descrição: dc.descriptionInterfaces and Visualization Lab. São Paulo State University-
Formato: dc.format174-185-
Idioma: dc.languageen-
Relação: dc.relationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectKinect v2-
Palavras-chave: dc.subjectMotion capture-
Palavras-chave: dc.subjectTelerehabilitation-
Título: dc.titleKinesiOS: A Telerehabilitation and Functional Analysis System for Post-Stroke Physical Rehabilitation Therapies?-
Tipo de arquivo: dc.typeaula digital-
Aparece nas coleções:Repositório Institucional - Unesp

Não existem arquivos associados a este item.