Calculating internal forces in the spinal column through inverse dynamics technique
Authors
Marcelo La Torre
Mônica de Oliveira Melo
Maicon Pasini
Lucas Dutra Araújo
Cláudia Tarragô Candotti
Jefferson Fagundes Loss
Abstract
For the purpose of calculating the internal forces that act on the lumbar spine during lifting activity, four lifting techniques (LTs) were performed by ten subjects, at a controlled
speed. During the experiment, dynamometric and 2D kinemetric data were collected simultaneously. The resulting joint force (JF) between L5/S1 and muscular force (MF) of the
vertebral column erector muscle group were calculated using the inverse dynamic technique. ANOVA repeated measures were used to compare the maximum JF and MF values. Our
findings indicate that the inverse dynamic technique was able to estimate the forces acting on the spinal column and that there was no significant difference between the JF and MF in the four LTs. Hence, no evidence was found to favor one lifting technique or the other.
Author Biographies
Marcelo La Torre
Licenciado em educação física – Universidade do Vale do Rio dos Sinos (Unisinos)
E-mail: latorre6@hotmail.com
Mônica de Oliveira Melo
Licenciado em educação física – Universidade do Vale do Rio dos Sinos (Unisinos)
E-mail: melo.monica@terra.com.br
Maicon Pasini
Licenciado em educação física – Universidade do Vale do Rio dos Sinos (Unisinos)
E-mail: mpasini5@hotmail.com
Lucas Dutra Araújo
Acadêmico de educação física – Universidade do Vale do Rio dos Sinos (Unisinos)
E-mail: natoch@terra.com.br
Cláudia Tarragô Candotti
Doutora em ciência do movimento humano
Escola Superior de Educação Física da Universidade Federal do Rio Grande do Sul (Esef-UFRGS)
Professora de biomecânica na Universidade do Vale do Rio dos Sinos (Unisinos)
E-mail: candotti@ unisinos.br
Jefferson Fagundes Loss
Doutor em engenharia mecânica (biomecânica) – Programa de Pós-Graduação
em Engenharia Mecânica (Promec)/Universidade Federal do Rio Grande do Sul (UFRGS)
Professor de biomecânica na UFRGS
E-mail: jefferson.loss@ufrgs.br
