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

Autor: Vonderscher M; Univ Savoie Mont Blanc, Interuniversity Laboratory of Human Movement Sciences, EA 7424, F-73000, Chambéry, France. vonderscher.m@gmail.com., Bowen M; Univ Savoie Mont Blanc, Interuniversity Laboratory of Human Movement Sciences, EA 7424, F-73000, Chambéry, France., Samozino P; Univ Savoie Mont Blanc, Interuniversity Laboratory of Human Movement Sciences, EA 7424, F-73000, Chambéry, France., Morel B; Univ Savoie Mont Blanc, Interuniversity Laboratory of Human Movement Sciences, EA 7424, F-73000, Chambéry, France.
Jazyk: angličtina
Zdroj: European journal of applied physiology [Eur J Appl Physiol] 2024 Jul 25. Date of Electronic Publication: 2024 Jul 25.
DOI: 10.1007/s00421-024-05551-x
Abstrakt: 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.
(© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
Databáze: MEDLINE
Externí odkaz: