A Survey on Mathematical Modeling of Muscle Using for Rehabilitation Systems

Autor: Marcos Vincius M. Ramis, Vincius Menezes de Oliveira, Rodrigo Zelir Azzolin, Juliana V. dos Santos
Rok vydání: 2019
Předmět:
Zdroj: IECON
DOI: 10.1109/iecon.2019.8927318
Popis: Nowadays one important subject considered in the rehabilitation of patients with spasticity is the mathematical modelling of the muscles behavior under injuries and helping in the planning of personalized treatments. With this work it was possible to identify that it is necessary to develop musculoskeletal models focused on the study of patients with spasticity, since there is a difference between the models for the exclusive analysis of healthy patients and those with some type of limitation. It is also identified the importance of the use of parameter estimation in vivo, since the muscle of a cadaver can undergo modifications and degradation. In addition, authors present the integration of robots and humans to contribute to a targeted physiotherapy focused on the limitations of each patient, guaranteeing greater strength and torque in the movements. We introduce and explain the importance of this typo of study in section one and in the second section was developed a literature review to investigate what was the principal lines of research and considerations about musculoskeletal models, doing a classification about the relevance for the material to our job with focus in pacients who have spaticity, because some studies focused only in a model for health people. In the third section was analised the models more useds, the importance of utilization the parameters in vivo, the use of a model who is developed to pacients with spasticity. Doing this, we choose the Giat Model develped in the work of [26] para o trabalho a ser desenvolvido. In the section four we presentate the use of Eletromiography (EMG) and the procedures developed for the tests. Finaly in the section five we presentate the softwares who is using in this type of project and the beneficits of these.
Databáze: OpenAIRE