Inter-individual variability in the patterns of responses for electromyography and mechanomyography during cycle ergometry using an RPE-clamp model View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2016-06-20

AUTHORS

Kristen C. Cochrane-Snyman, Terry J. Housh, Cory M. Smith, Ethan C. Hill, Nathaniel D. M. Jenkins, Richard J. Schmidt, Glen O. Johnson

ABSTRACT

PurposeTo examine inter-individual variability versus composite models for the patterns of responses for electromyography (EMG) and mechanomyography (MMG) versus time relationships during moderate and heavy cycle ergometry using a rating of perceived exertion (RPE) clamp model.MethodsEMG amplitude (amplitude root-mean-square, RMS), EMG mean power frequency (MPF), MMG-RMS, and MMG-MPF were collected during two, 60-min rides at a moderate (RPE at the gas exchange threshold; RPEGET) and heavy (RPE at 15 % above the GET; RPEGET+15 %) intensity when RPE was held constant (clamped). Composite (mean) and individual responses for EMG and MMG parameters were compared during each 60-min ride.ResultsThere was great inter-individual variability for each EMG and MMG parameters at RPEGET and RPEGET+15 %. Composite models showed decreases in EMG-RMS (r2 = −0.92 and R2 = 0.96), increases in EMG-MPF (R2 = 0.90), increases in MMG-RMS (r2 = 0.81 and 0.55), and either no change or a decrease (r2 = 0.34) in MMG-MPF at RPEGET and RPEGET+15 %, respectively.ConclusionsThe results of the present study indicated that there were differences between composite and individual patterns of responses for EMG and MMG parameters during moderate and heavy cycle ergometry at a constant RPE. Thus, composite models did not represent the unique muscle activation strategies exhibited by individual responses when cycling in the moderate and heavy intensity domains when using an RPE-clamp model. More... »

PAGES

1639-1649

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00421-016-3394-y

DOI

http://dx.doi.org/10.1007/s00421-016-3394-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1017345457

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/27325528


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