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 |
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Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
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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. |
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ISSN: | 1439-6319 1439-6327 1439-6327 |
DOI: | 10.1007/s00421-024-05551-x |