Improving the upper-limb force feasible set evaluation by muscles maximal isometric force identification and cocontraction factors

Hernandez, Vincent; Venture, Gentiane; Rezzoug, Nasser; Gorce, Philippe

doi:10.1016/j.jbiomech.2017.03.021

Cited by 4 publications

(2 citation statements)

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“…The method proposed in (Hernandez et al 2015) was used to define the right upperlimb FFS at the hand. A cocontraction factor of 0.95 and 0.1 was applied for maximally and minimally activated muscles, respectively (Hernandez et al 2017). Given J T+ , the Moore-Penrose pseudo-inverse of J T (the transpose of the upper-limb Jacobian matrix), the muscles moment arm matrix N (Sherman et al 2013), the active fa (depending on muscle activation a) and passive fp forces generated by the muscles and the gravity torque g, the produced end-effector force vector FSIM was obtained as follows:…”

Section: Ffs Computationmentioning

confidence: 99%

“…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.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2019

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The aim of this study was to test the capacity of the force feasible set formalism to predict maximal force exertion during isometric handbraking. Maximal force exertion and upper-limb posture were measured with a force sensor embedded in a handbrake and an optoelectronic system, respectively. Eleven subjects participated in the experiment which consisted of exerting the maximal force in isometric conditions considering five hand brake positions relative to the seat Hpoint. Then, maximal force was predicted by the force feasible set obtained from an upper-limb musculoskeletal model. The root-mean-square (RMS) of the angle between measured and predicted forces was 8.4° while the RMS error (RMSE) for amplitude prediction was 95.4 N. However, predicted, and measured force amplitudes were highly correlated (r=0.88, p<0.05, slope=0.97, intercept=73.3N) attesting the capacity of the model to predict force exertion according to the subject's posture. The implications in the framework of ergonomics are then discussed.

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Section: Ffs Computationmentioning

confidence: 99%