Two-week virtual reality training for dementia: Single case feasibility study
Bibliographic record
Abstract
Persons with dementia (PWD) are known to have difficulty with participation and focus during physical activity. Virtual reality (VR) offers a unique medium for motor learning but has only been used previously for cognitive assessment for PWD. Our study had two objectives: (1) investigate the feasibility and safety of an exercise-based VR training program in PWD, and (2) investigate its effects on balance and mobility. The intervention consisted of daily (5 d/wk, 1 h each) VR training sessions for 2 wk for a single research participant. Clinical balance and mobility measures were assessed 1 wk prior to, during, 1 wk following, and 1 mo after the intervention. Postintervention interviews provided qualitative feedback from the participant and his caregivers. Results indicate that VR training is feasible, safe, and enjoyable for PWD. However, balance and mobility measures were unaffected. VR training is well tolerated in a single research participant with dementia and is an engaging medium for participation in exercise.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| 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".