Design and evaluation of a hip prosthesis simulator: A technical note
Bibliographic record
Abstract
People with a limb loss at the level of the hip or pelvis have the most difficulty returning to walking compared with those with a lower amputation. This is because their prosthesis must replace the hip, knee, and ankle joints. An adjustable hip-disarticulation/hemipelvectomy prosthesis simulator that allows able-bodied individuals to wear and assess a prosthesis can help researchers and manufacturers when designing new prosthetic components (ie, hip joints). SolidWorks computer-aided design software was used to design and simulate an adapter that can connect prosthetic components to an off-the-shelf hip abduction orthosis. The adapter was made of 1020 stainless steel and aluminium 6061-T3 with a yield strength of 276 MPa. To confirm that this adapter is strong and safe for ambulation, mechanical testing was performed using an INSTRON machine. The maximum loads generated in any activity were chosen according to the International Organization for Standardization 15032:2000 standard for hip disarticulation external prostheses. The designed adapter allowed frontal, lateral, or distal mounting of different prosthetic hip joints. Mechanical testing confirmed that the new adapter can withstand forces and moments experienced during ambulation. The hip disarticulation/hemipelvectomy prosthesis simulator is easy to use and adjustable based on each person's height and pelvic width. Furthermore, this simulator would assist rehabilitation practitioners in experiencing the use of hip-level prostheses and give them a better understanding of people using such technologies. The next step in this project is to evaluate able-bodied participant gait while using this hip simulator prosthesis with different hip joints.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".