Novel Concept of a Lower-limb Rehabilitation Robot Targeting Bed-bound Acute Stroke Patients
Why this work is in the frame
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Bibliographic record
Abstract
A novel concept for a stroke rehabilitation robot is presented, which incorporates ideas gathered after conducting fieldwork at a local hospital with five therapists. Data collected from the hospital and from recent stroke rehabilitation guidelines revealed key insights which generated ideas for a new device based in part upon our previous robot, the Virtual Gait Rehabilitation Robot (ViGRR). The new concept differs from existing rehabilitation robots in that it can be used independent of the therapist, who often have very limited schedules. Other issues are addressed, such as combating a lack of motivation or attention found in some patients. Future trials are discussed, including clinical trials measuring functional outcomes as well as less common metrics such as user engagement.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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 it