Sensitivity analysis of sex- and functional muscle group-specific parameters for a three-compartment-controller model of muscle fatigue
Sensitivity analysis of sex- and functional muscle group-specific parameters for a three-compartment-controller model of muscle fatigue
复制标题
肌肉疲劳三室控制器模型的性别和功能性肌群特异性参数的敏感性分析
DOI：
10.1016/j.jbiomech.2022.111224
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发表时间：
2022
影响因子：
2.4
通讯作者：
Yang, James
中科院分区：
文献类型：
--
作者：
Rakshit, Ritwik;Barman, Shuvrodeb;Xiang, Yujiang;Yang, James
具有增强恢复的三室控制器（3CC-r）疲劳模型已被验证，在多个阶段，并通过不同的方法，持续（SIC）和间歇性等长收缩（IIC）。它也已被验证，同时使用两种收缩类型的通用方法，以减少用于估计每个参数集的样本量为代价，推导出每个功能性肌肉群的性别特异性代表性模型参数。在这项研究中，在实验测量的变化和参数值的变化的模型的敏感性分析进行估计的参数集的鲁棒性。发现扭矩下降预测误差仅随着注入到实验数据中的随机性的增加而缓慢地增加，对于实验耐久时间的8- 29%变化，误差增加<1%。结果表明，从我们以前的研究中获得的参数是可靠的，可以用于疲劳预测在多种情况下，没有显着的准确性损失。对于所有性别和功能性肌肉群检查，疲劳过程占主导地位的恢复在实验条件下检查。模型的恢复参数的更精细的估计可能需要在未来的研究中改变实验设计。
The three-compartment-controller with enhanced recovery (3CC-r) model of fatigue has been validated, in multiple stages and by different methods, for sustained (SIC) and intermittent isometric contractions (IIC). It has also been validated using a common methodology for both contraction types simultaneously to derive sex-specific representative model parameters for each functional muscle group, at the expense of reducing the sample size used to estimate each parameter set. In this study, a sensitivity analysis of the model to both variations in experimental measurements and to variations in the parameter values is carried out to estimate the robustness of the parameter sets. Torque decline prediction error is found to increase only slowly with increasing randomness injected into experimental data, with <1 % increases in error for 8–29 % variation in experimental endurance times. The results demonstrate that the obtained parameters from our previous study are reliable and can be used for fatigue prediction in multiple scenarios without significant loss of accuracy. For all sexes and functional muscle groups examined, the fatigue process dominates recovery in the experimental conditions examined. Finer estimates of the model’s recovery parameter will likely require changes to the experiment design in future studies.