Feasibility of a One Degree-of-Freedom Linear Robot for Bed-Bound Stroke Rehabilitation
Bibliographic record
Abstract
Abstract A 1DOF lower limb rehabilitation robot is presented for delivering leg extension therapy to bed-bound stroke patients. Such a compact and minimal system may be beneficial in terms of compatibility with pre-existing hospital equipment, ease-of-use, safety, and cost. A set of design criteria was created based on the literature and on previous field work at a local hospital. The device uses admittance control to apply assistive or resistive forces, and can also use haptic feedback to increase user engagement. A pilot study on six healthy participants was used to determine the feasibility of such a minimal system in administering assistance or resistance through the leg extension exercise. Results indicate that a single DOF is capable of decreasing trajectory error with assistance and increasing user effort with resistance. Observations confirm that the minimal system is effective; however, extending the robot with additional DOFs so that it can target multiple bed-bound exercises may help to increase therapy duration.
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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 | 0.002 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 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".