Using Electrical Impedance Tomography in an Experimental Model of Weighted Restraint
Bibliographic record
Abstract
One restraint technique used by police and paramedical personnel is to apply weight to a prone subject. There is concern that the weight and posture cause breathing difficulties and that restraint asphyxia could contribute to rare, inexplicable arrest-related deaths. Previous studies on restraint asphyxia have used global measures of breathing, which are less sensitive to ventilation changes than other methods. We present a methodology for monitoring individual adaptations to the conditions present in weighted restraint using electrical impedance tomography, which can image the changing distribution of ventilation over time. Results from a pilot study of seven subjects indicated that loss of lung reserve volume was a common consequence of weighted restraint. Our results imply that in more extreme scenarios in which the full weight of one or more officers is applied to a subject during recovery from strenuous activity, weighted restraint may augment risk to the subject. Finally, subjects in the restraint posture of hands behind their heads on average had larger tidal volumes during recovery than subjects with hands behind their backs or at their sides, suggesting this posture permitted deeper breathing and may be preferred in practice, though further study in a larger population is needed.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".