Ultrasound-based subject-specific parameters improve fascicle behaviour estimation in Hill-type muscle model - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Computer Methods in Biomechanics and Biomedical Engineering Année : 2015

Ultrasound-based subject-specific parameters improve fascicle behaviour estimation in Hill-type muscle model

Résumé

The estimation of muscle fascicle behaviour is decisive in a Hill-type model as they are related to muscle force by the force – length –velocity relationship and the tendon force – strain relationship. This study was aimed at investigating the influence of subject-specific tendon force – strain relationship and initial fascicle geometry (IFG) on the estimation of muscle forces and fascicle behaviour during isometric contractions. Ultrasonography was used to estimate the in vivo muscle fascicle behaviour and compare the muscle fascicle length and pennation angle estimated from the Hill-type model. The calibration – prediction process of the electromyography-driven model was performed using generic or subject-specific tendon definition with or without IFG as constraint. The combination of subject-specific tendon definition and IFG led to muscle fascicle behaviour closer to ultrasound data and significant lower forces of the ankle dorsiflexor and plantarflexor muscles compared to the other conditions. Thus, subject-specific ultrasound measurements improve the accuracy of Hill-type models on muscle fascicle behaviour.
Fichier principal
Vignette du fichier
Gerus - Comput Methods Biome - 2013.pdf (331.65 Ko) Télécharger le fichier
Origine : Accord explicite pour ce dépôt
Loading...

Dates et versions

hal-01440194 , version 1 (15-11-2017)

Identifiants

Citer

Pauline Gerus, Guillaume Rao, Eric Berton. Ultrasound-based subject-specific parameters improve fascicle behaviour estimation in Hill-type muscle model. Computer Methods in Biomechanics and Biomedical Engineering, 2015, 18 (2), pp.116 - 123. ⟨10.1080/10255842.2013.780047⟩. ⟨hal-01440194⟩
75 Consultations
270 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More