Modelling the gait of healthy and post-stroke individuals

• Tipo: Resumo de Comunicação em Conferência Internacional
• Data: 2016-07-10

Autores

Morgana Afonso (Autor) Outra; Andreia Sousa (Autor) Outra; João Tavares (Autor) FEUP

Ata de Conferência Internacional

Título: ESB 2016 - 22nd Congress of the European Society of Biomechanics, Cité des Congrès of Lyon, 10-13 July 2016

Páginas: 1-1

Classificação Científica

CORDIS: Ciências da Saúde

FOS: Ciências da engenharia e tecnologias

Outras Informações

Abstract (EN): Gait is a complex mechanism which involves the action of the musculoskeletal system, controlled by spinal and supraspinal mechanisms [1]. After Cerebrovascular Accident (CVA), or stroke, the damage of structures involved in motor control from one side of the brain, can cause activation deficits in the muscles from the contralesional (CONTRA) side of the body ¿ hemiparesis, leading to asymmetry in the gait pattern [2]. In gait analysis, a set of experimental methods have ben used to study the gait of one subject, including based on: visual analysis, collection of kinematic parameters acquired using cameras and reflective body markers, kinetic analysis using force platforms to determine the ground reaction force (GRF) and electromyography. Due to the recent technological advances, it became possible to create and implement complex dynamical multi-segmented models of the human body with several degrees-of-freedom to perform simulations from experimental data [3]. OpenSim is an open-source software developed in Stanford University that allows the creation of models of the musculoskeletal system and the development of subject-specific simulations of several tasks [4]. The present work describes a procedure used to perform a simulation in OpenSim of a healthy and a post-stroke individual, using real experimental data. The kinematic parameters were determined as well as the activation of two calf muscles: soleus (SOL) and medial gastrocnemius (MEDGAS).

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 1