DESIGN AND DEVELOPMENT OF A COST-EFFECTIVE MECHANICALLY ENGINEERED ASSISTIVE DEVICE FOR PARKINSON’S PATIENTS: A CASE STUDY AT GRAND RIVER HOSPITAL
Bibliographic record
Abstract
Parkinson’s disease (PD) is a movement disorder resulting in tremors and conductivity problems in nerves, which lead to difficulties performing basic tasks such as turning a doorknob. This involved designing an under-$100 device to automatically rotate doorknobs without destroying the door, thus improving patient independence. Development was carried out according to functional and non-functional requirements, brainstorming design ideas, and selecting the best solution with the help of a decision matrix. Panels were chosen for their low cost and availability, while other parts were designed and 3D printed. Torque calculations and simulations supported the design’s performance against criteria such as achieving a four-second rotation of a doorknob. The final device presented is a low-cost, easy-to-use device for use in low-resource contexts where no assistive device exists for people with motor impairment. This innovation could greatly enhance the quality of life for Parkinson’s patients and their caregivers.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".