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A hybrid method including optimization and force-EMG relationship for predicting muscle force / 生物医学工程学杂志
Journal of Biomedical Engineering ; (6): 1260-1263, 2009.
Article Dans Chinois | WPRIM | ID: wpr-244648
ABSTRACT
A hybrid method based on optimization and force-EMG relationships for predicting muscle force was presented and applied to the flexion movement of upper limb. The results were compared with those from classical optimization and from the method based on force-EMG relationships. The classical optimization can not predict the force of antagonistic muscles. The method based on force-EMG relationships can not satisfy the mechanical equilibrium. The hybrid method overcomes the two disadvantages, but the forces predicted by it fluctuate excessively. Now the hybrid method is just appropriate for use in predicting isometric and isokinetic movements.
Sujets)
Texte intégral: Disponible Indice: WPRIM (Pacifique occidental) Sujet Principal: Physiologie / Contrainte mécanique / Algorithmes / Muscles squelettiques / Électromyographie / Effort physique / Prévision / Contraction isométrique / Méthodes / Modèles biologiques Type d'étude: Étude pronostique Limites du sujet: Humains langue: Chinois Texte intégral: Journal of Biomedical Engineering Année: 2009 Type: Article

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Texte intégral: Disponible Indice: WPRIM (Pacifique occidental) Sujet Principal: Physiologie / Contrainte mécanique / Algorithmes / Muscles squelettiques / Électromyographie / Effort physique / Prévision / Contraction isométrique / Méthodes / Modèles biologiques Type d'étude: Étude pronostique Limites du sujet: Humains langue: Chinois Texte intégral: Journal of Biomedical Engineering Année: 2009 Type: Article