Evaluation and validation of musculoskeletal force feasible set indices: Application to manual wheelchair propulsion

Maximal isometric force exertion predicted by the force feasible set formalism: application to handbraking

“…Combined with the force amplitude obtained by data driven methods such as that proposed in (Wang et al 2010) both amplitude and direction can be assessed. However, the FFS allows to explain such direction, give more general information on the whole force capabilities and can be used for a wide range of applications including ergonomic indices for wheelchair propulsion (Hernandez et al 2018), for modulating the assistance of rehabilitation robots (Carmichael and Dikai 2013) or for improving the design of musculoskeletal models (Ingram et al 2016) to name a few.…”

“…The FFS captures the difference in maximal force exertion according to force direction shown in previous experimental studies (Chander and Cavatorta 2018, Fothergill et al 1993, Hernandez et al 2015, Jan Nijhof and Gabriel 2006, Oshima et al 2000, Sasaki et al 2011, Wilkinson et al 1995. By resorting to a musculoskeletal model of the upper limb, a fast algorithm for constructing the FFS has been validated (Hernandez et al 2018, Hernandez et al 2015, Hernandez et al 2017.…”

“…This allows us to confirm whether the model is able to predict force exertion for various postures and instructed force levels. Therefore, the objective of this study was to verify that the proposed model could be used to characterise strength capacity during different motor tasks in different domains, as the FFS has been already validated to study force application during wheelchair propulsion (Hernandez et al 2018). We hypothesized that the FFS could predict the direction and amplitude of the maximal isometric force applied on the handbrake in the various tested configurations.…”