System Identification Applied to the Biomechanical Response of Sudden Loading

Intelligent system identification may more accurately describe sudden load trunk dynamics than current models. While more complex than time-invariant modeling, radial basis function networks simplify system identification. Electromyographic and empirical trunk motion data from six male subjects were...

Full description

Saved in:
Bibliographic Details
Published inIISE Annual Conference. Proceedings p. 1
Main Authors Lawrence, Brad M, Mirka, Gary A, Buckner, Gregory D
Format Journal Article
LanguageEnglish
Published Norcross Institute of Industrial and Systems Engineers (IISE) 01.01.2004
Subjects
Algorithms
Back pain
Back propagation
Biomechanics
Engineering
Fatigue
Identification
Intelligent systems
Load
Muscle function
Training
Online AccessGet full text

Cover

More Information
Summary:Intelligent system identification may more accurately describe sudden load trunk dynamics than current models. While more complex than time-invariant modeling, radial basis function networks simplify system identification. Electromyographic and empirical trunk motion data from six male subjects were input into radial basis function networks to yield theoretical angular displacement curves and resultant time-varying stiffness estimates governing these theoretical curves. Peak and average values from the stiffness distributions (1314 Nm/rad and 532 Nm/rad, respectively) were in good agreement with stiffness values calculated in previous work. Significant main effects and interactions of expectation, fatigue, and training on sudden load response were found. [PUBLICATION ABSTRACT]