Physiological and Performance Measures for Baseline Concussion Assessment
Bibliographic record
Abstract
CONTEXT: Baseline testing is a common strategy for concussion assessment and management. Research continues to evaluate novel measures for potential to improve baseline testing methods. OBJECTIVES: The primary objective was to (1) determine the feasibility of including physiological, neuromuscular, and mood measures as part of baseline concussion testing protocol, (2) describe typical values in a varsity athlete sample, and (3) estimate the influence of concussion history on these baseline measures. DESIGN: Prospective observational study. SETTING: Ryerson University Athletic Therapy Clinic. PARTICIPANTS: One hundred varsity athletes. MAIN OUTCOME MEASURES: Frequency and domain measures of heart rate variability, blood pressure, grip strength, profile of mood states-short form, and the Sport Concussion Assessment Tool-2. RESULTS: Physiological, neuromuscular performance, and mood measures were feasible at baseline. Participants with a history of 2 or more previous concussions displayed significantly higher diastolic blood pressure. Females reported higher total mood disturbance compared with males. CONCLUSIONS: Physiological and neuromuscular performance measures are safe and feasible as baseline concussion assessment outcomes. History of concussion may have an influence on diastolic blood pressure.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 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) | 0.000 | 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 teacher head, 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".