Evaluation of Gait Performance in Hemipelvectomy Amputation While Walking With a Prosthesis
Bibliographic record
Abstract
Purpose: Hemipelvectomy amputation is a surgical procedure in which the lower limb and part of the pelvis are removed. Although few studies are available on the performance of individuals with hip disarticulation while walking, there is no study on gait analysis of hemipelvectomy subjects. Therefore, this study aimed to evaluate the gait and stability of an individual with hemipelvectomy amputation. Methods: An individual with hemipelvectomy amputation on the right side participated in this study. He used a Canadian prosthesis with single axis ankle joint, 3R21 knee joint and 7E7 hip joint for more than 10 years. The kinetic and kinematic parameters were collected by a motion analysis system and a Kistler force plate. Results: There was a significant difference between knee, hip and ankle motion ranges and their related time periods on the sound and prosthesis sides. The stability of the subject was better in the anteroposterior direction, than the mediolateral direction. Results revealed a significant asymmetry between the sound and prosthesis sides. Conclusion: The obtained results suggested a significant asymmetry between the kinetic and kinematic performance of the sound and prosthesis sides, which may be due to lack of muscular power and alignment of prosthesis components.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".