Diagnostic accuracy of Tensiomyography parameters for monitoring peripheral neuromuscular fatigue
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14510%2F23%3A00134787" target="_blank" >RIV/00216224:14510/23:00134787 - isvavai.cz</a>
Výsledek na webu
<a href="https://pubmed.ncbi.nlm.nih.gov/37068408/" target="_blank" >https://pubmed.ncbi.nlm.nih.gov/37068408/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.jelekin.2023.102775" target="_blank" >10.1016/j.jelekin.2023.102775</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Diagnostic accuracy of Tensiomyography parameters for monitoring peripheral neuromuscular fatigue
Popis výsledku v původním jazyce
The diagnostic accuracy of tensiomyography (TMG) parameters compared to the gold standard in neuromuscular fatigue evaluation using voluntary and electrically induced muscle activation is unclear. This study aimed to investigate the diagnostic accuracy of TMG parameters to detect individual changes after interventions that were designed to induce central or peripheral fatigue. Nineteen males (age: 32.2 +/- 9.3 years) performed two interventions, consisting of maintaining 25% of maximal voluntary contraction (MViC25%) and a 30 s all-out cycling test (Wingate), respectively. TMG parameters, maximum voluntary contraction (PtMViC), voluntary activation (VA%) and electrically elicited double twitches (Dtw) were assessed on the knee extensors before (PRE), one minute (POST) and seven minutes after (POST7) the intervention. The diagnostic accuracy (AUC) of TMG parameters were evaluated in comparison to two criteria measures (PtMViC and Dtw). RM ANOVA revealed a significant interaction between the effects of intervention and time on VA% (p = 0.001) and Dtw (p < 0.001) but not for PtMViC (p = 0.420). AUC showed that TMG parameters had a good ability in detecting muscular fatigue assessed by Dtw but not by PtMViC. The results of the current study suggest that TMG parameters can be used to monitor peripheral neuromuscular fatigue.
Název v anglickém jazyce
Diagnostic accuracy of Tensiomyography parameters for monitoring peripheral neuromuscular fatigue
Popis výsledku anglicky
The diagnostic accuracy of tensiomyography (TMG) parameters compared to the gold standard in neuromuscular fatigue evaluation using voluntary and electrically induced muscle activation is unclear. This study aimed to investigate the diagnostic accuracy of TMG parameters to detect individual changes after interventions that were designed to induce central or peripheral fatigue. Nineteen males (age: 32.2 +/- 9.3 years) performed two interventions, consisting of maintaining 25% of maximal voluntary contraction (MViC25%) and a 30 s all-out cycling test (Wingate), respectively. TMG parameters, maximum voluntary contraction (PtMViC), voluntary activation (VA%) and electrically elicited double twitches (Dtw) were assessed on the knee extensors before (PRE), one minute (POST) and seven minutes after (POST7) the intervention. The diagnostic accuracy (AUC) of TMG parameters were evaluated in comparison to two criteria measures (PtMViC and Dtw). RM ANOVA revealed a significant interaction between the effects of intervention and time on VA% (p = 0.001) and Dtw (p < 0.001) but not for PtMViC (p = 0.420). AUC showed that TMG parameters had a good ability in detecting muscular fatigue assessed by Dtw but not by PtMViC. The results of the current study suggest that TMG parameters can be used to monitor peripheral neuromuscular fatigue.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
30306 - Sport and fitness sciences
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2023
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY
ISSN
1050-6411
e-ISSN
1873-5711
Svazek periodika
70
Číslo periodika v rámci svazku
2023
Stát vydavatele periodika
SI - Slovinská republika
Počet stran výsledku
9
Strana od-do
1-9
Kód UT WoS článku
000985118200001
EID výsledku v databázi Scopus
2-s2.0-85153538096