Your browser doesn't support javascript.
loading
Testing the predictive capacity of a muscle fatigue model on electrically stimulated adductor pollicis.
Vonderscher, M; Bowen, M; Samozino, P; Morel, B.
Afiliación
  • 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.
Eur J Appl Physiol ; 2024 Jul 25.
Article en En | MEDLINE | ID: mdl-39052043
ABSTRACT

PURPOSE:

Based on the critical power (Pc or critical force; Fc) 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 Fc. 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 (tlim) and maximal force (Fmax) decrease.

METHODS:

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

RESULTS:

The results showed that the model accurately estimated Fi, Fc, and τ (CI95% = 2.7%Fi and 9.1 s for Fc and τ, respectively; median adjusted r2 = 0.96) and predicted tlim and Fmax with low systematic and random errors (11 ± 20% and - 1.8 ± 7.7%Fi, 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.
Palabras clave

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Eur J Appl Physiol Asunto de la revista: FISIOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Francia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Eur J Appl Physiol Asunto de la revista: FISIOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Francia