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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 in Chinese | WPRIM (Western Pacific) | ID: wpr-244648
Responsible library: WPRO
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.
Subject(s)
Full text: Available Database: WPRIM (Western Pacific) Main subject: Physiology / Stress, Mechanical / Algorithms / Muscle, Skeletal / Electromyography / Physical Exertion / Forecasting / Isometric Contraction / Methods / Models, Biological Type of study: Prognostic study Limits: Humans Language: Chinese Journal: Journal of Biomedical Engineering Year: 2009 Document type: Article
Full text: Available Database: WPRIM (Western Pacific) Main subject: Physiology / Stress, Mechanical / Algorithms / Muscle, Skeletal / Electromyography / Physical Exertion / Forecasting / Isometric Contraction / Methods / Models, Biological Type of study: Prognostic study Limits: Humans Language: Chinese Journal: Journal of Biomedical Engineering Year: 2009 Document type: Article
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