Adaptive Eating Device: Performance and Satisfaction of a Person with Parkinson’s Disease
Bibliographic record
Abstract
BACKGROUND.: Individuals with Parkinson's disease (PD) can experience motor impairments related to their hand-use that restrict participation in daily activities. Feeding is one activity impacted by this health condition. The use of adapted utensils can improve performance and independence in this activity. PURPOSE.: To investigate if a locally designed and made eating-adaptive device helps a person with PD to improve their feeding performance. METHOD.: Single-case ABC-type experimental design. Performance and satisfaction of a 60-year-old man with PD were assessed during feeding tasks in 70 sequential days in three phases. Celeration Line, Two-Standard Deviation Band, and Visual Analysis were the methods used for data analysis. FINDINGS.: Performance and satisfaction increased significantly after the introduction of the adaptive eating device. The addition of weight also contributed to the increase in the participant's performance. IMPLICATIONS.: Adaptive eating device with low production costs and possibility of customized adjustments improves performance of people with PD.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.003 | 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".