24 Reducing vibrations to improve infant patient safety during transportation
Bibliographic record
Abstract
Abstract Primary Subject area Neonatal-Perinatal Medicine Background Each year, thousands of newborns are transported by air or ground ambulance to receive specialized medical care. For neurologically immature and physiologically compromised infants, especially preterm infants, the noise and vibration exposure during transport are high despite preventative measures, and may be an important contributor to brain injury risk. Objectives To develop a new tool to investigate vibrations during neonatal transport and mitigation strategies. Design/Methods Proof of concept study including 3 steps: 1) Characterization of the vibrations during transport. Accelerometer sensors placed on different layers of the Neonatal Patient Transport System (NPTS) (neonate manikin, mattress, incubator, deck, stretcher, and vehicle floor) with a variety of ambulance on road tests performed to capture data. 2) Experimentation - A shaker table was used to develop a standardized test environment. Vibration testing was performed, with the entire NPTS mounted on the shaker table. 3) Mitigation - Shaker table tests were repeated using different configurations of mattress and harness types on manikins with different bodyweights. Results 1) Characterization: Road transport exposed the manikin’s head to vibrations that exceeded adult standards. Examining the frequency spectra of the accelerometer signals across different layers of the NPTS suggests that two interfaces, stretcher/vehicle floor and incubator/deck, may be critical for intervention to mitigate the vibrations, as they both showed the highest gains in vibration power. 2) Experimentation: Comparison between the on-road and shaker table tests showed that the shaker table was able to reproduce on-road transportation with acceptable fidelity. The shaker table setup can serve as a standardized environment to explore the impact of several NPTS design variables on vibrations transmitted to the patient. 3) Mitigations: Different mattresses were shown to influence the vibrations experienced by the manikin. The head restraint harness type showed an amplitude reduction of the peak frequency component for all experiment types and for most mattress types compared to a standard 5-point harness. Conclusion Our study demonstrated that: i) vibrations during neonatal transport can exceed adult standards; ii) acceptable fidelity simulation of road conditions can be achieved using a shaker table system; and iii) the most effective approach for vibration mitigation should consider the whole NTPS, instead of focusing solely on the isolette.
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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) | 0.001 | 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 | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".