The effect of novel Head and Trunk Control Rehabilitation (HATCoRe) device in children with cerebral palsy: Single-Subject multiple baseline protocol
Bibliographic record
Abstract
Objective: Head and trunk control is essential for enhancing engagement and participation by improving visual integration, respiration, oromotor skill, arm control, and self-care. Our study protocol aims to investigate the effect of novel Head And Trunk Control Rehabilitation (HATCoRe) device on promoting head and trunk control in children with Cerebral Palsy (CP). Method: This single subject multiple baseline design trial will include six children with CP aged two to 10 years, exhibiting delayed head and trunk control, having Gross Motor Function Classification System level IV and V will be enrolled. Participants will be randomly assigned to 4-, 6-, or 8-weeks baseline phases followed by 16-week intervention phase with HATCoRe device, for 30-45 min thrice weekly; and follow-up phase of 9 weeks. The study will span for 29 to 33 weeks. An experienced pediatric physiotherapist, blinded to the baseline duration, will assess the outcome measures through 15 to 19 observations. Structured visual analysis will be used supplemented with the celeration line approach to detect statistically significant change. Impact: HATCoRe device can enable health-care professionals to objectively measure head movement trajectories in children with CP. If proven effective, clinicians may utilize this device to create interactive and child engaging sessions.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 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".