Integrating Upper- and Lower-Limb Exercises in Virtual Reality Video Games: A Novel Approach in Pediatric Clinical Exercise Rehabilitation for Duchenne Muscular Dystrophy
Bibliographic record
Abstract
In clinical exercise rehabilitation, training of the lower extremities is recognized as a key contributor in delaying the decline in functional status and the onset of disability in children with Duchenne muscular dystrophy. Recent evidence revealing the importance of upper-limb exercise as an adjunct intervention has led to the evaluation of clinical trials regarding the integration of exercise modalities involving the upper and lower extremities. One method to integrate both modalities of exercise is through the use of interactive video game (exergaming) technology, which is currently an active area of research to improve neurorehabilitation outcomes in children with developmental disabilities. We propose that a novel approach involving clinical exercises of the upper and lower extremities in virtual reality video games can lead to marked enhancements in the functional status of children with Duchenne muscular dystrophy.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".