izpis_h1_title_alt

Diagnostic accuracy of tensiomyography parameters for monitoring peripheral neuromuscular fatigue
ID Kalc, Miloš (Author), ID Puš, Katarina (Author), ID Paravlić, Armin (Author), ID Urbanc, Jure (Author), ID Šimunič, Boštjan (Author)

.pdfPDF - Presentation file, Download (2,78 MB)
MD5: 4E0FE0A8603AF7D458EA13E1931613A1
URLURL - Source URL, Visit https://www.sciencedirect.com/science/article/pii/S1050641123000342 This link opens in a new window

Abstract
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 (MViC$_{25\%}$) 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.

Language:English
Keywords:tensiomyography, vastus lateralis, MVC, twitch, TMG
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FŠ - Faculty of Sport
Publication status:Published
Publication version:Version of Record
Year:2023
Number of pages:9 str.
Numbering:Vol. 70, art. 102775
PID:20.500.12556/RUL-148323-0ec8b584-cb70-ea17-0017-ef2b751cf938 This link opens in a new window
UDC:616.74:796.012.1
ISSN on article:1050-6411
DOI:10.1016/j.jelekin.2023.102775 This link opens in a new window
COBISS.SI-ID:149975043 This link opens in a new window
Publication date in RUL:11.08.2023
Views:1078
Downloads:44
Metadata:XML RDF-CHPDL DC-XML DC-RDF
:
Copy citation
Share:Bookmark and Share

Record is a part of a journal

Title:Journal of electromyography and kinesiology
Publisher:Elsevier
ISSN:1050-6411
COBISS.SI-ID:768020 This link opens in a new window

Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.

Secondary language

Language:Slovenian
Keywords:mišice, živčno-mišična utrujenost, mišična aktivacija, periferna utrujenost, tenziomiografija, parametri, največja zavestna kontrakcija, skrček, TMG, mišično-skeletni sistem

Projects

Funder:ARRS - Slovenian Research Agency
Project number:J2-1731
Name:Dekompozicija sestavljenih mišičnih potencialov

Funder:ARRS - Slovenian Research Agency
Project number:L7-9421
Name:Dekompozicija tenziomiograma skeletne mišice in identifikacija kontraktilnih parametrov, občutljivih na mišične prilagoditve

Funder:Other - Other funder or multiple funders
Funding programme:Slovenian Sports Fundation
Project number:RR-21-678

Similar documents

Similar works from RUL:
Similar works from other Slovenian collections:

Back