Development and Evaluation of a Sensor System to Monitor the Stance-Phase Control Function of the Automatic Stance-Phase Lock (ASPL) Mechanism
Bibliographic record
Abstract
The Automatic Stance-Phase Lock is the novel stance-phase control mechanism employed by the All-Terrain Knee. Gait analysis tools are often limited to controlled environments and cannot directly monitor the ASPL. The objective of this project was to design and test a sensor system to measure ASPL function and to begin to explore the effects of relevant alignment, terrain, and mobility conditions on its performance. The results of this study indicate that the developed system is sensitive to knee lock position changes, knee extension and flexion, and gait events. Data collected by the system confirms the fundamental relationships between applied moments and knee lock engagement which define ASPL stance-phase control. Measurable differences in ASPL function allude to its responsiveness to variable gait conditions. The developed system has the proven potential for use in larger biomechanical and clinical studies to inform All-Terrain Knee design iterations and optimize patient-specific prosthetic alignment and set-up.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".