The effect of treatment for myofascial trigger points on the EMG fatigue parameters of shoulder muscles
Bibliographic record
Abstract
Myofascial trigger points (TP), are manifestation of a regional pain disorder and are very common, particularly in trapezius. In severe cases myofascial TPs can cause disability. However, early recognition and treatment may prevent progression to chronic pains. This study investigated the effect of treatment on myofascial TPs using objective measurements such as EMG fatigue parameters (fatigue rate, RMS and mean power frequency (MPF) behaviors plus endurance time) and subjective measurements such as pain levels of patients and the perceived disability. Subjects were 9 patients with myofascial TPs in upper trapezius and 9 healthy subjects. The patients were tested once before treatment and 3 intervals after the first treatment; the last test session occurred when treatment was completed. EMG signals were recorded simultaneously by surface electrodes from the upper trapezius and middle deltoid muscles in two different test positions until the subjective fatigue limit. Results showed significant improvement after treatment; however the treated afflicted muscle still had a different fatigue pattern compared to that of normal muscles.
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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) | 0.002 | 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".