A New Test to Measure Neuromuscular Fatigue During and Immediately After Cycling Exercise
Bibliographic record
Abstract
Neuromuscular (NM) fatigue has often been measured in human participants through single-joint isometric exercise tests. However, this task is not representative of whole-body exercise (WBE) such as running, and cycling. Furthermore, most studies assessing NM fatigue from WBE have delayed measurement for 1-4 minutes after task failure, despite the knowledge that the NM system can recover quickly. PURPOSE: To demonstrate the reliability of a new cycling ergometer for the measurement of NM fatigue in healthy subjects during and immediately after WBE. METHODS: A sample consisting of 12 healthy adult males and females aged 19 to 32 was recruited. Each subject performed a fatiguing protocol on the new cycling ergometer on two separate occasions. This protocol had subjects pedal until task failure at pre-determined power outputs scaled to their body weight that increased after NM assessments performed at three-minute intervals. NM assessments included voluntary and evoked force production of the quadriceps measured through instrumented pedals within the ergometer. Evoked contractions were achieved through electrical nerve stimulation and transcranial magnetic stimulation. Reliability was determined with intraclass correlation coefficients (ICC) and coefficients of variation (CV). RESULTS: During the two sessions, the new cycling test produced a significant mean percent reduction in maximal voluntary contraction (MVC) force from pre to post test of 36±12% (p<.0001). There was no significant difference in MVC measured on the ergometer between sessions (p>.05), with excellent relative (ICC=.97±.06) and absolute reliability (CV=3.2±.1.6%). Evoked twitch force, a measure of peripheral fatigue, was reduced by 46±14% (p<.0001) from pre to post test and showed excellent reliability as well (ICC=.97±.06; CV=5.2±.1.5%). There was no significant change (p>.05) in percent voluntary activation, a measure of central fatigue, within each session, however there was excellent absolute reliability (CV=1.3±.5%; 97±2% vs. 97±2% measured at pre). CONCLUSION: The results suggest that the new ergometer is a reliable tool for measuring NM fatigue during and immediately after exercise. Ultimately, a greater knowledge and understanding of the etiology of NM fatigue will be gained by measuring it during WBE.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".