Your browser doesn't support javascript.
loading
Analysis of Gait Kinematics in Smart Walker-Assisted Locomotion in Immersive Virtual Reality Scenario.
Loureiro, Matheus; Elias, Arlindo; Machado, Fabiana; Bezerra, Marcio; Zimerer, Carla; Mello, Ricardo; Frizera, Anselmo.
Afiliación
  • Loureiro M; Graduate Program in Electrical Engineering, Federal University of Espírito Santo, Vitória 29075-910, ES, Brazil.
  • Elias A; Graduate Program in Physiotherapy, Estacio de Sa University, Vitória 29092-095, ES, Brazil.
  • Machado F; Graduate Program in Informatics, Federal University of Espírito Santo, Vitória 29075-910, ES, Brazil.
  • Bezerra M; Graduate Program in Electrical Engineering, Federal University of Espírito Santo, Vitória 29075-910, ES, Brazil.
  • Zimerer C; Graduate Program in Electrical Engineering, Federal University of Espírito Santo, Vitória 29075-910, ES, Brazil.
  • Mello R; Graduate Program in Electrical Engineering, Federal University of Espírito Santo, Vitória 29075-910, ES, Brazil.
  • Frizera A; Graduate Program in Electrical Engineering, Federal University of Espírito Santo, Vitória 29075-910, ES, Brazil.
Sensors (Basel) ; 24(17)2024 Aug 27.
Article en En | MEDLINE | ID: mdl-39275445
ABSTRACT
The decline in neuromusculoskeletal capabilities of older adults can affect motor control, independence, and locomotion. Because the elderly population is increasing worldwide, assisting independent mobility and improving rehabilitation therapies has become a priority. The combination of rehabilitation robotic devices and virtual reality (VR) tools can be used in gait training to improve clinical outcomes, motivation, and treatment adherence. Nevertheless, VR tools may be associated with cybersickness and changes in gait kinematics. This paper analyzes the gait parameters of fourteen elderly participants across three experimental tasks free walking (FW), smart walker-assisted gait (AW), and smart walker-assisted gait combined with VR assistance (VRAW). The kinematic parameters of both lower limbs were captured by a 3D wearable motion capture system. This research aims at assessing the kinematic adaptations when using a smart walker and how the integration between this robotic device and the VR tool can influence such adaptations. Additionally, cybersickness symptoms were investigated using a questionnaire for virtual rehabilitation systems after the VRAW task. The experimental data indicate significant differences between FW and both AW and VRAW. Specifically, there was an overall reduction in sagittal motion of 16%, 25%, and 38% in the hip, knee, and ankle, respectively, for both AW and VRAW compared to FW. However, no significant differences between the AW and VRAW kinematic parameters and no adverse symptoms related to VR were identified. These results indicate that VR technology can be used in walker-assisted gait rehabilitation without compromising kinematic performance and presenting potential benefits related to motivation and treatment adherence.
Asunto(s)
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Realidad Virtual / Marcha Límite: Aged / Female / Humans / Male Idioma: En Revista: Sensors (Basel) Año: 2024 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Realidad Virtual / Marcha Límite: Aged / Female / Humans / Male Idioma: En Revista: Sensors (Basel) Año: 2024 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Suiza