Measuring vibration and shock in power wheelchairs for clinical application
Bibliographic record
Abstract
Research evidence demonstrates the negative effects of Whole-Body Vibration (WBV) and correlation between exposure to WBV and detriment to health. ISO Standard 2631-1 (1997) is the accepted standard for human exposure to WBV in vehicle vibration, and provides vibration guidelines for health and comfort. These standards have not been applied to power wheelchairs (PWC), and no clinical tool exists that measures vibration levels during live power wheelchair driving. This study measures WBV and shock levels during PWC driving, considering the impact of terrains, base configurations, and seat cushions. A sensor tag accelerometer was used to measure vibration and shock in three different PWC configurations driven over seven different terrains. Data was collected for two runs per wheelchair, per terrain type, per cushion type. Differences were significant (p < .001) for overall mean and median peak vibration compared across the seven terrains, and for overall mean vibration for basic and enhanced cushions. Differences were also noted in mean and peak vibration in the three different base configurations (p = .0052). Results were compared with ISO 2631-1 guidelines. Mechanical shock on certain terrains created peak vibration levels with likely health risk. Results from this study can inform PWC prescription process.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".