Modelling the gait of healthy and post-stroke individuals

• Type: Summary of Presentation in an International Conference
• Date: 2016-07-10

Authors

Morgana Afonso (Author) Other; Andreia Sousa (Author) Other; João Tavares (Author) FEUP

Conference proceedings International

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

Pages: 1-1

Scientific classification

CORDIS: Health sciences

FOS: Engineering and technology

Other information

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).

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 1