title: [A hybrid method including optimization and force-EMG relationship for predicting muscle force].
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.
authors.affiliation: (School of Mechanical Engineering, Shanghai Jiaotong University, Shanghai 200240, China.
authors.forename: Xi'an
authors.initials: X
authors.lastname: Zhang
authors.forename: Ming
authors.initials: M
authors.lastname: Ye
authors.forename: Linlin
authors.initials: L
authors.lastname: Zhang
authors.forename: Wenzhong
authors.initials: W
authors.lastname: Nie
authors.forename: Chengtao
authors.initials: C
authors.lastname: Wang
mesh_terms: D000465:Algorithms; D004576:Electromyography / Q000379:methods*; D005544:Forecasting; D006801:Humans; D007537:Isometric Contraction / Q000502:physiology; D008954:Models, Biological; D009119:Muscle Contraction / Q000502:physiology*; D018482:Muscle, Skeletal / Q000502:physiology*; D005082:Physical Exertion / Q000502:physiology*; D013314:Stress, Mechanical