Analysis of the Spatio-Temporal Parameters of an Amputee Patient vs. a Healthy Patient
Bibliographic record
Abstract
The purpose of this article is to evaluate the spatio-temporal parameters of an amputee versus a healthy patient, since it is a way of recognizing the failures and observations of the gait cycle as a result of the state of the prosthesis. For this study it is necessary to deepen the biomechanics of the lower extremities by investigating the similarity that exists between a prosthesis and the biological part of the amputated joint. The acquired data were taken from the sagittal and frontal plane, in an orthopedic and rehabilitation center for both types of patients (Transtibial Amputee and Person with intact extremities), these data were processed using inertial sensors of TechnNaid equipment and taken to a MarchaHumanaET software, which provides the values of the spatio-temporal gait parameters for each subject.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".