一种包括优化和肌力-肌电图关系的混合方法用于预测肌肉力量
[A hybrid method including optimization and force-EMG relationship for predicting muscle force].
作者信息
Zhang Xi'an, Ye Ming, Zhang Linlin, Nie Wenzhong, Wang Chengtao
机构信息
(School of Mechanical Engineering, Shanghai Jiaotong University, Shanghai 200240, China.
出版信息
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2009 Dec;26(6):1260-3.
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.
提出了一种基于优化和力-肌电图关系的混合方法来预测肌肉力量，并将其应用于上肢的屈曲运动。将结果与经典优化方法和基于力-肌电图关系的方法的结果进行了比较。经典优化方法无法预测拮抗肌的力量。基于力-肌电图关系的方法不能满足力学平衡。混合方法克服了这两个缺点，但其预测的力量波动过大。目前，混合方法仅适用于预测等长和等速运动。
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