Estimation of trunk mechanical properties using system identification: effects of experimental setup and modelling assumptions

Babak Bazrgari, Maury Nussbaum and Michael Madigan

Computer Methods in Biomechanics and Biomedical Engineering, 2012, vol. 15, issue 9, 1001-1009

Abstract: The use of system identification to quantify trunk mechanical properties is growing in biomechanics research. The effects of several experimental and modelling factors involved in the system identification of trunk mechanical properties were investigated. Trunk kinematics and kinetics were measured in six individuals when exposed to sudden trunk perturbations. Effects of motion sensor positioning and properties of elements between the perturbing device and the trunk were investigated by adopting different models for system identification. Results showed that by measuring trunk kinematics at a location other than the trunk surface, the deformation of soft tissues is erroneously included into trunk kinematics and results in the trunk being predicted as a more damped structure. Results also showed that including elements between the trunk and the perturbing device in the system identification model did not substantially alter model predictions. Other important parameters that were found to substantially affect predictions were the cut-off frequency used when low-pass filtering raw data and the data window length used to estimate trunk properties.

Date: 2012
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DOI: 10.1080/10255842.2011.570340

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