ArticleEuropean journal of applied physiology2010
An EMG frequency-based test for estimating the neuromuscular fatigue threshold during cycle ergometry.
Article in European journal of applied physiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Acute Effects of Sprint Interval Training and Blood Flow Restriction on Neuromuscular and Muscle Function.Journal of musculoskeletal & neuronal interactions · 2024Trial
- Therapeutic Role of Functional Massage in Attenuating Exercise-Induced Neuromuscular Fatigue.Bioengineering (Basel, Switzerland) · 2025Article
- Perceived exertion reflects fatigue conditions during power-aimed resistance training.International journal of sports medicine · 2025Article
- Can Perceived Exertion and Velocity Loss Serve as Indirect Indicators of Muscle Fatigue During Explosive Back Squat Exercise?Journal of functional morphology and kinesiology · 2024Article
- Boys-men mean-power-frequency differences in progressive exercise to exhaustion, confounded by variability and adiposity.European journal of applied physiology · 2024Article
- Validity of using perceived exertion to assess muscle fatigue during back squat exercise.BMC sports science, medicine & rehabilitation · 2023Article
- Electrical activity and fatigue of respiratory and locomotor muscles in obstructive respiratory diseases during field walking test.PloS one · 2022Article
- A Muscle Fatigue Classification Model Based on LSTM and Improved Wavelet Packet Threshold.Sensors (Basel, Switzerland) · 2021Article
- Effects of Vertical Lifting Distance on Upper-Body Muscle Fatigue.International journal of environmental research and public health · 2021Article
- Wheelchair propulsion fatigue thresholds in electromyographic and ventilatory testing.Spinal cord · 2020Article
- Isometric-based EMG threshold in girls and women.European journal of applied physiology · 2020Article
- Neuromuscular responses of the superficial quadriceps femoris muscles: muscle specific fatigue and inter-individual variability during severe intensity treadmill running.Journal of musculoskeletal & neuronal interactions · 2020Article
- Comparisons of the Metabolic Intensities at Heart Rate, Gas Exchange, and Ventilatory Thresholds.International journal of exercise science · 2020Article
- Isometric-based test improves EMG-threshold determination in boys vs. men.European journal of applied physiology · 2019Article
- Fatigue-independent alterations in muscle activation and effort perception during forearm exercise: role of local oxygen delivery.Journal of applied physiology (Bethesda, Md. : 1985) · 2019Article
- How Arch Support Insoles Help Persons with Flatfoot on Uphill and Downhill Walking.Journal of healthcare engineering · 2017Article
- Limitations of Spectral Electromyogramic Analysis to Determine the Onset of Neuromuscular Fatigue Threshold during Incremental Ergometer Cycling.Journal of sports science & medicine · 2016Article
- Factors underlying the perception of effort during constant heart rate running above and below the critical heart rate.European journal of applied physiology · 2015Article
- Evaluation of Electromyographic Frequency Domain Changes during a Three-Minute Maximal Effort Cycling Test.Journal of sports science & medicine · 2015Article
- The Effect of Skinfold on the Assessment of the Mean Power Frequency at the Fatigue Threshold.International journal of exercise scienceArticle
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The purposes of this investigation were twofold: (1) to determine if the model used for estimating the physical working capacity at the fatigue threshold (PWC(FT)) from electromyographic (EMG) amplitude data could be applied to the frequency domain of the signal to derive a new fatigue threshold for cycle ergometry called the mean power frequency fatigue threshold (MPF(FT)), and (2) to compare the power outputs associated with the PWC(FT), MPF(FT), ventilatory threshold (VT), and respiratory compensation point (RCP). Sixteen men [mean (SD) age = 23.4 (3.2) years] performed incremental cycle ergometer rides to exhaustion with bipolar surface EMG signals recorded from the vastus lateralis. There were significant (p < 0.05) mean differences for PWC(FT) [mean (SD) = 168 (36) W] versus MPF(FT) [208 (37) W] and VT [152 (33) W] versus RCP [205 (84) W], but no mean differences for PWC(FT) versus VT or MPF(FT) versus RCP. The mean difference between PWC(FT) and MPF(FT) may be due to the effects of specific metabolites that independently influence the time and frequency domains of the EMG signal. These findings indicated that the PWC(FT) model could be applied to the frequency domain of the EMG signal to estimate MPF(FT). Furthermore, the current findings suggested that the PWC(FT) may demarcate the moderate from heavy exercise domains, while the MPF(FT) demarcates heavy from severe exercise intensities.
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Registered trials
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