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

Purpose Based on the critical power (P c or critical force; F c ) 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 c . This study aimed to provide experimental sup...

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Veröffentlicht in:European journal of applied physiology 2024-12, Vol.124 (12), p.3619-3630
Hauptverfasser: Vonderscher, M., Bowen, M., Samozino, P., Morel, B.
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Sprache:eng
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Zusammenfassung:Purpose Based on the critical power (P c or critical force; F c ) 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 c . 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 lim ) and maximal force (F max ) decrease. Methods The model was tested on eight participants using electrically stimulated adductor pollicis muscle force. The F max was recorded every 15 s for all tests, including five constant tests to estimate the initial maximal force (F i ), F c , and a time constant (τ). The model’s parameters were used to compare the predicted and observed t lim values of the incremental ramp test and F max ( t ) of the sine test. Results The results showed that the model accurately estimated F i , F c , and τ (CI95% = 2.7%Fi and 9.1 s for F c and τ, respectively; median adjusted r 2  = 0.96) and predicted t lim and F max with low systematic and random errors (11 ± 20% and − 1.8 ± 7.7%F i , 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.
ISSN:1439-6319
1439-6327
1439-6327
DOI:10.1007/s00421-024-05551-x