J 2023

Diagnostic accuracy of Tensiomyography parameters for monitoring peripheral neuromuscular fatigue

KALC, Miloš, Katarina PUŠ, Armin PARAVLIĆ, Jure URBANC, Boštjan ŠIMUNIČ et. al.

Basic information

Original name

Diagnostic accuracy of Tensiomyography parameters for monitoring peripheral neuromuscular fatigue

Authors

KALC, Miloš (705 Slovenia), Katarina PUŠ (705 Slovenia), Armin PARAVLIĆ (688 Serbia, guarantor, belonging to the institution), Jure URBANC (705 Slovenia) and Boštjan ŠIMUNIČ (705 Slovenia)

Edition

JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY, ENGLAND, ELSEVIER SCI LTD, 2023, 1050-6411

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

30306 Sport and fitness sciences

Country of publisher

Slovenia

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

Impact factor

Impact factor: 2.500 in 2022

RIV identification code

RIV/00216224:14510/23:00134787

Organization unit

Faculty of Sports Studies

UT WoS

000985118200001

Keywords in English

TMG; Vastus lateralis; MVC; Twitch
Změněno: 23/4/2024 14:39, Ing. Petra Svobodníková

Abstract

V originále

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.