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测试电刺激拇内收肌模型的预测能力。

Testing the predictive capacity of a muscle fatigue model on electrically stimulated adductor pollicis.

机构信息

Univ Savoie Mont Blanc, Interuniversity Laboratory of Human Movement Sciences, EA 7424, F-73000, Chambéry, France.

出版信息

Eur J Appl Physiol. 2024 Dec;124(12):3619-3630. doi: 10.1007/s00421-024-05551-x. Epub 2024 Jul 25.

DOI:10.1007/s00421-024-05551-x
PMID:39052043
Abstract

PURPOSE

Based on the critical power (P or critical force; F) concept, a recent mathematical model formalised the proportional link between the decrease in maximal capacities during fatiguing exercises and the amount of impulse accumulated above F. This study aimed to provide experimental support to this mathematical model of muscle fatigability in the severe domain through testing (i) the model identifiability using non-exhausting tests and (ii) the model ability to predict time to exhaustion (t) and maximal force (F) decrease.

METHODS

The model was tested on eight participants using electrically stimulated adductor pollicis muscle force. The F was recorded every 15 s for all tests, including five constant tests to estimate the initial maximal force (F), F, and a time constant (τ). The model's parameters were used to compare the predicted and observed t values of the incremental ramp test and F(t) of the sine test.

RESULTS

The results showed that the model accurately estimated F, F, and τ (CI95% = 2.7%Fi and 9.1 s for F and τ, respectively; median adjusted r = 0.96) and predicted t and F with low systematic and random errors (11 ± 20% and - 1.8 ± 7.7%F, respectively).

CONCLUSION

This study revealed the potential applications of a novel mathematical formalisation that encompasses previous research on the critical power concept. The results indicated that the model's parameters can be determined from non-exhaustive tests, as long as maximal capacities are regularly assessed. With these parameters, the evolution of maximal capacities (i.e. fatigability) at any point during a known exercise and the time to exhaustion can be accurately predicted.

摘要

目的

基于关键力量(P 或临界力;F)概念,最近的数学模型将疲劳运动中最大能力下降与超过 F 的冲量积累量之间的比例关系形式化。本研究旨在通过测试(i)使用非疲劳测试的模型可识别性和(ii)模型预测力竭时间(t)和最大力(F)下降的能力,为肌肉疲劳性的严重域中的这种数学模型提供实验支持。

方法

使用电刺激拇内收肌力量对 8 名参与者进行了模型测试。所有测试中每 15 秒记录一次 F,包括五个恒定测试以估计初始最大力(F)、F 和时间常数(τ)。使用模型参数比较递增斜坡测试的预测和观察到的 t 值以及正弦测试的 F(t)。

结果

结果表明,该模型准确估计了 F、F 和 τ(CI95%=2.7%Fi 和 9.1 s 分别用于 F 和 τ;中位数调整 r=0.96),并以低系统和随机误差预测 t 和 F(分别为 11±20%和-1.8±7.7%F)。

结论

这项研究揭示了一种新的数学形式化的潜在应用,该形式化涵盖了之前关于临界功率概念的研究。结果表明,只要定期评估最大能力,就可以从非疲劳测试中确定模型参数。有了这些参数,可以准确预测在已知运动期间的任何时间点的最大能力(即疲劳性)的演变和力竭时间。

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