The Influence of Subcutaneous Fat Layer on sEMG Signals during Fatiguing Isometric Contractions in Young Males
Bibliographic record
Abstract
The purpose of this study is to investigate how the sEMG signal is affected by the subcutaneous fat layer of the biceps brachii during isometric contractions.Surface Electromyography (sEMG) was recorded from 14 male subjects performing isometric contraction of the biceps brachii until fatigue occurred.The subjects were divided into two groups; one group of 7 males participated that were obese and the other group also had 7 participants that were classified as non-obese.Two feature extraction methods (Total Band Power and Dominant Frequency) were used and the sEMG signal parameters were compared to determine how the sEMG classification performance is affected by obesity.The results show that classification accuracy decreased in the obese group of participants, suggesting that the subcutaneous fat layer affects the sEMG signal, while the classification accuracy was high for both sEMG parameters in the non-obese group.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".