Parametric Identification of Postural Control Models in Humans Challenged by Impulse-Controlled Perturbations

The study of postural control system is relevant by academic and clinical points of view, and it can be improved by considering model-based approaches. In this framework, to improve the understanding of the underlying mechanism of balance control, it is often necessary to apply external perturbations to the body of a patient. This work deals with the parametric identification of postural control models by fitting with experimental data collected with a custom-made automated perturbation device. The results of model optimization are discussed and provide a preliminary validation of the methodology.