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Record W2560491932 · doi:10.1115/1.4035372

Development and Evaluation of a Mechanical Stance-Controlled Orthotic Knee Joint With Stance Flexion

2016· article· en· W2560491932 on OpenAlexaff
Jan Andrysek, Matthew Leineweber, Hankyu Lee

Bibliographic record

VenueJournal of Mechanical Design · 2016
Typearticle
Languageen
FieldEngineering
TopicProsthetics and Rehabilitation Robotics
Canadian institutionsCanada Research ChairsHolland Bloorview Kids Rehabilitation HospitalUniversity of TorontoUniversity of New Brunswick
Fundersnot available
KeywordsSwingPhysical medicine and rehabilitationGaitKnee flexionKnee JointGait cycleGait analysisComputer sciencePhysical therapyMedicineEngineeringKinematicsMechanical engineeringSurgeryPhysics

Abstract

fetched live from OpenAlex

Stance-control orthotic knee joints stabilize the knee joint during the weight-bearing portion of gait without restricting swing-phase flexion, thus achieving a more normal gait for individuals with quadriceps muscle weakness. These devices must be designed around well-defined stance-control strategies that enable or hinder joint motion at specific events during the gait cycle. This paper presents a new type of stance-control strategy and a novel stance-controller design. Pilot clinical testing was performed on a prototype, demonstrating feasibility of this approach for providing reliable knee stability while facilitating swing-phase flexion. In particular, 44 deg of swing-phase flexion and 15 deg of stance-phase flexion were achieved during level walking. Further testing is needed in situ to provide additional validation and assess other mobility conditions.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.648
Threshold uncertainty score0.308

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.039
GPT teacher head0.247
Teacher spread0.208 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations5
Published2016
Admission routes1
Has abstractyes

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