EMG amplitude, fatigue threshold, and time to task failure: A meta-analysis.
Objectives: Electromyographic (EMG) fatigue threshold (EMGFT) is utilised as a correlate of critical power, torque, and force thresholds that establishes a theoretical exercise intensity-the power, torque, or force at which the rate of change of EMG amplitude (ΔEM¯G) is zero-below which neuromuscula...
| Publicado en: | Journal of Science & Medicine in Sport Vol. 21; no. 7; pp. 736 - 742 |
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| Autores principales: | , , |
| Formato: | research systematic review Journal Article |
| Publicado: |
Elsevier B.V.
Jul2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=129825591&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 129825591 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14402440 1FKA jtl: Journal of Science & Medicine in Sport issn: 14402440 maglogo: N pubinfo: dt: Jul2018 vid: 21 iid: 7 pid: 467 pub: Elsevier B.V. place: New York, New York artinfo: ui: 129825591 129825591 NLM29233666 129825591 10.1016/j.jsams.2017.11.005 NLM29233666 129825591 ppf: 736 ppct: 6 formats: tig: atl: EMG amplitude, fatigue threshold, and time to task failure: A meta-analysis. aug: au: McCrary, J. Matt Ackermann, Bronwen J. Halaki, Mark affil: School of Medical Sciences, Sydney Medical School, The University of Sydney, Australia sug: subj: Electromyography Muscle, Skeletal Physiology Muscle Fatigue Human Isometric Contraction Linear Regression Meta Analysis Systematic Review ab: Objectives: Electromyographic (EMG) fatigue threshold (EMGFT) is utilised as a correlate of critical power, torque, and force thresholds that establishes a theoretical exercise intensity-the power, torque, or force at which the rate of change of EMG amplitude (ΔEM¯G) is zero-below which neuromuscular fatigue is negligible and unpredictable. Recent studies demonstrating neuromuscular fatigue below critical thresholds raise questions about the construct validity of EMGFT. The purpose of this analysis is to evaluate the construct validity of EMGFT by aggregating ΔEM¯G and time to task failure (Tlim) data.Design: Meta-analysis.Methods: Database search of MEDLINE, SPORTDiscus, Web of Science, and Cochrane (inception - September 2016) conducted using terms relevant to EMG and muscle fatigue. Inclusion criteria were studies reporting agonist muscle EMG amplitude data during constant force voluntary isometric contractions taken to task failure. Linear and nonlinear regression models were used to relate ΔEM¯G and Tlim data extracted from included studies.Results: Regression analyses included data from 837 healthy adults from 43 studies. Relationships between ΔEM¯G and Tlim were strong in both nonlinear (R2=0.65) and linear (R2=0.82) models. ΔEM¯G at EMGFT was significantly nonzero overall and in 3 of 5 cohorts in the nonlinear model (p<0.01) and in 2 of 5 cohorts in the linear model.Conclusions: EMGFT lacks face validity as currently calculated; models for more precise EMGFT calculation are proposed. A new framework for prediction of task failure using EMG amplitude data alone is presented. The ΔEM¯G vs. Tlim relationship remains consistent across sexes and force vs. position tasks. pubtype: Academic Journal doctype: meta analysis research systematic review Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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