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Subject-specific musculoskeletal parameters of wrist flexors and extensors estimated by an EMG-driven musculoskeletal model

机译:由肌电图驱动的肌肉骨骼模型估计的腕部屈肌和伸肌的特定主题肌肉骨骼参数

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摘要

An EMG-driven musculoskeletal model is implemented to estimate subject-specific musculoskeletal parameters such as the optimal physiological muscle length, the tendon slack length and the maximum isometric muscle force of flexor and extensor muscle groups crossing the wrist, as well as biomechanical indexes to quantify the muscle operating range, the stiffness of the musculotendon actuators, and the contribution of the muscle fibres to the joint moment.Twelve healthy subjects (11 males and 1 female, mean age 31.1 ± 8.7 years) were instructed to perform isometric maximum voluntary contractions of wrist flexors and extensors. Recorded EMGs were used as input to the model and the root mean square error (RMSE) between measured and predicted torque was minimised to estimate the subject-specific musculotendon parameters. The model was validated and the RMSE and the normalised RMSE calculated during estimation and validation phases are compared.Estimated subject-specific musculoskeletal parameters vary in a physiological range, while the biomechanical indexes are in agreement with previously published data.The proposed methodology proved to be effective for the in vivo estimation of physiological parameters of the musculotendon complex and has potential as an investigative tool to distinguish aetiological differences among subjects affected by musculoskeletal disorders.
机译:实施由肌电图驱动的肌肉骨骼模型,以评估特定于受试者的肌肉骨骼参数,例如最佳生理肌肉长度,腱松弛长度和跨腕的屈肌和伸肌群的最大等长肌力,以及用于量化的生物力学指标指导十二名健康受试者(11名男性和1名女性,平均年龄31.1±8.7岁)进行等轴测最大自发性收缩运动,包括以下方面的内容:肌肉活动范围,肌腱末端执行器的刚度以及肌肉纤维对关节力矩的贡献。腕屈肌和伸肌。记录的EMG被用作模型的输入,并且最小化了测量扭矩和预测扭矩之间的均方根误差(RMSE),以估算受试者特定的肌腱参数。验证了模型的有效性,并比较了估计和验证阶段计算出的RMSE和归一化RMSE。估计的受试者特定肌肉骨骼参数在生理范围内变化,而生物力学指标与先前发表的数据一致,所提出的方法被证明是可以有效地在体内估计肌腱末端复合物的生理参数,并且有可能作为一种研究工具来区分受肌肉骨骼疾病影响的受试者之间的病因学差异。

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