English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Background  The use of surface electromyography has been accepted as a valid, non-invasive measure of neuromuscular fatigue. In particular, the electromyographic fatigue threshold test (EMG FT ) is a reliable submaximal tool to identify the onset of fatigue. This study examined the metabolic relationship between VO 2PEAK , ventilatory threshold (VT), and the EMG FT , as well as compared the power output at VO 2PEAK , VT, and EMG FT .    Methods  Thirty-eight college-aged males (mean ± SD = 22.5 ± 3.5 yrs) performed an incremental test to exhaustion on an electronically-braked cycle ergometer for the determination of VO 2PEAK  and VT. Each subject also performed a discontinuous incremental cycle ergometer test to determine their EMG FT  value, determined from bipolar surface electrodes placed on the longitudinal axis of the vastus lateralis of the right thigh. Subjects completed a total of four, 2-minute work bouts (ranging from 75–325 W). Adequate rest was given between bouts to allow for subjects' heart rate to drop within 10 beats of their resting heart rate. The EMG amplitude was averaged over 10-second intervals and plotted over the 2-minute work bout. The resulting slopes from each successive work bout were used to calculate EMG FT .    Results  Power outputs and VO 2  values from each subject's incremental test to exhaustion were regressed. The linear equations were used to compute the VO 2  value that corresponded to each fatigue threshold. Two separate one-way repeated measure ANOVAs indicated significant differences (p < 0.05) among metabolic parameters and power outputs. However, the mean metabolic values for VT (1.90 ± 0.50 l·min -1 ) and EMG FT VO 2 (1.84 ± 0.53 l·min -1 ) were not significantly different (p > 0.05) and were highly correlated (r = 0.750). Furthermore, the mean workload at VT was 130.7 ± 37.8 W compared with 134.1 ± 43.5 W at EMG FT  (p > 0.05) with a strong correlation between the two variables (r = 0.766).    Conclusion  Metabolic measurements, as well as the power outputs at VT and EMG FT , were strongly correlated. The significant relationship between VT and EMG FT  suggests that both procedures may reflect similar physiological factors associated with the onset of fatigue. As a result of these findings, the EMG FT  test may provide an attractive alternative to estimating VT.

dynamic medicine

The relationships among endurance performance measures as estimated from VO2PEAK, ventilatory threshold, and electromyographic fatigue threshold: a relationship design