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根据肌电图和运动学数据预测步行时膝关节和踝关节的力矩。

Predictions of knee and ankle moments of force in walking from EMG and kinematic data.

作者信息

Olney S J, Winter D A

出版信息

J Biomech. 1985;18(1):9-20. doi: 10.1016/0021-9290(85)90041-7.

Abstract

A deterministic model was developed and validated to calculate instantaneous ankle and knee moments during walking using processed EMG from representative muscles, instantaneous joint angle as a correlate of muscle length and angular velocity as a correlate of muscle velocity, and having available total instantaneous joint moments for derivation of certain model parameters. A linear regression of the moment on specifically processed EMG, recorded while each subject performed cycled isometric calibration contractions, yielded the constants for a basic moment-EMG relationship. Using the resultant moment for optimization, the predicted moment was proportionally augmented for longer muscle lengths and reduced for shorter lengths. Similarly, the predicted moment was reduced for shortening velocities and increased if the muscle was lengthening. The plots of moments predicted using the full model and those calculated from link segment mechanics followed each other quite closely. The range of root mean square errors were: 3.2-9.5 Nm for the ankle and 4.7-13.0 Nm for the knee.

摘要

开发并验证了一个确定性模型,用于在行走过程中使用代表性肌肉的处理后的肌电图、作为肌肉长度相关指标的瞬时关节角度以及作为肌肉速度相关指标的角速度来计算瞬时踝关节和膝关节力矩,并且有可用的总瞬时关节力矩来推导某些模型参数。对每个受试者进行循环等长校准收缩时记录的特定处理后的肌电图进行力矩线性回归,得出基本力矩 - 肌电图关系的常数。利用所得力矩进行优化,预测力矩会因肌肉长度较长而按比例增大,因长度较短而减小。同样,预测力矩会因缩短速度而减小,因肌肉拉长而增大。使用完整模型预测的力矩图与根据连杆段力学计算的力矩图非常接近。均方根误差范围为:踝关节为3.2 - 9.5 Nm,膝关节为4.7 - 13.0 Nm。

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