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一种用于估计腕屈肌生物力学参数的肌电图驱动的肌肉骨骼模型。

An EMG-driven musculoskeletal model for the estimation of biomechanical parameters of wrist flexors.

作者信息

Colacino Francesco M, Rustighi Emiliano, Mace Brian R

机构信息

Institute of Sound and Vibration Research, University of Southampton, UK.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:4870-3. doi: 10.1109/IEMBS.2010.5627429.

DOI:10.1109/IEMBS.2010.5627429
PMID:21096908
Abstract

A musculoskeletal model of wrist flexors comprising musculoskeletal dynamics and limb anatomy was experimentally validated with healthy subjects during maximum voluntary contractions. Electromyography signals recorded from flexors were used as input, while measured torques exerted by the hand were compared to the torques predicted by the model. The root mean square error and the normalized root mean square error calculated during estimation and validation phases were compared. In total, six subject-specific musculoskeletal parameters were estimated, while biomechanical indexes such as the operating range of the flexors, the stiffness of the wrist flexion musculotendon actuators, and the contribution of the muscle fibers to the joint moment were computed. Results are in agreement with previously published data.

摘要

一个包含肌肉骨骼动力学和肢体解剖结构的腕屈肌肌肉骨骼模型,在最大自主收缩期间,通过健康受试者进行了实验验证。从屈肌记录的肌电图信号用作输入,同时将手部测量的扭矩与模型预测的扭矩进行比较。比较了在估计和验证阶段计算的均方根误差和归一化均方根误差。总共估计了六个受试者特定的肌肉骨骼参数,同时计算了诸如屈肌的工作范围、腕屈肌肌腱致动器的刚度以及肌肉纤维对关节力矩的贡献等生物力学指标。结果与先前发表的数据一致。

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