Diagnostic accuracy of Tensiomyography parameters for monitoring peripheral neuromuscular fatigue
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Diagnostic accuracy of Tensiomyography parameters for monitoring peripheral neuromuscular fatigue
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30306 - Sport and fitness sciences
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY
ISSN
1050-6411
e-ISSN
1873-5711
Volume of the periodical
70
Issue of the periodical within the volume
2023
Country of publishing house
SI - SLOVENIA
Number of pages
9
Pages from-to
1-9
UT code for WoS article
000985118200001
EID of the result in the Scopus database
2-s2.0-85153538096