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Master's Dissertation
DOI
https://doi.org/10.11606/D.82.2021.tde-23082021-162607
Document
Author
Full name
Gabriel Augusto Ginja
Institute/School/College
Knowledge Area
Date of Defense
Published
São Carlos, 2021
Supervisor
Committee
Cliquet Junior, Alberto (President)
Rimkus, Carolina de Medeiros
Osório, Fernando Santos
Pagnano, Rodrigo Gonçalves
Title in Portuguese
Desenvolvimento e validação de um ambiente de realidade virtual para reabilitação de membros superiores em pessoas com lesão medular
Keywords in Portuguese
Cinemática, Lesão Medular, Realidade Virtual,
Abstract in Portuguese
Este trabalho caracteriza dados cinemáticos de membros superiores de pessoas com lesão medular durante um protocolo de alcance com o objetivo de desenvolver um ambiente de realidade virtual personalizado para treinar atividades de vida diária. Quatro pacientes com nível neurológico de lesão de C5 a C8 alcançaram cinco pontos sobre a mesa para simular uma atividade da vida diária que utiliza ombro e flexão de cotovelo. Eles estavam usando clusters com marcadores ao lado de câmeras VICON para capturar ângulos de flexão de ombros e cotovelo. Os dados cinemáticos coletados são usados juntamente com a antropometria em um ambiente de realidade virtual parametrizado para treinar membros superiores
Title in English
Development and validation of a Virtual Reality environment for rehabilitation of upper limbs in people with Spinal Cord Injury
Keywords in English
Kinematics, Spinal Cord Injury, Virtual Reality,
Abstract in English
This work characterizes kinematic data from upper limbs of people with spinal cord injury during a reach protocol in order to develop a personalized virtual reality environment to train activities of daily living. Four patients with neurological level of lesion from C5 to C8 reached five points over table to simulate an activity of daily living that uses shoulder and elbow flexion. They were using clusters with markers alongside VICON cameras to capture flexion angles from shoulders and elbow. The kinematic data collected is used alongside anthropometry in a parameterized virtual reality environment to train upperlimbs.
 
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Publishing Date
2021-08-25
 
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