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Record W4253923127 · doi:10.1109/iembs.2006.4398806

Gait Evaluation of a New Electromechanical Stance-Control Knee-Ankle-Foot Orthosis

2006· article· en· W4253923127 on OpenAlexaff
Terris Yakimovich, Edward D. Lemaire, Jonathan Kofman

Bibliographic record

VenueConference proceedings · 2006
Typearticle
Languageen
FieldMedicine
TopicDiabetic Foot Ulcer Assessment and Management
Canadian institutionsUniversity of OttawaUniversity of Waterloo
Fundersnot available
KeywordsPhysical medicine and rehabilitationGaitAnkleFoot (prosody)OrthoticsGait analysisComputer scienceMedicineAnatomy

Abstract

fetched live from OpenAlex

Commercial versions of a stance-control knee-ankle-foot orthosis (SCKAFO) have emerged to improve gait over conventional knee-ankle-foot orthoses (KAFOs), which lock the knee in full extension in individuals with quadriceps muscle weakness. A new electromechanical SCKAFO was recently designed to address the functional, structural, and cost limitations of these commercial SCKAFOs. This paper presents an evaluation of the new SCKAFO conducted to determine its functional and clinical effectiveness during gait. Three healthy adults (100% male; age, 35.3plusmn19.7y) and three KAFO users with knee extensor weakness in at least one limb (100% male; mean age, 56.3plusnm;4.0y) participated in the study. The SCKAFO had a minimal effect, as desired, on the kinematics of the able-bodied subjects. KAFO users had a mean increase in knee flexion of 21.1deg (sd=8.2) during swing, and a greater total knee range of motion when walking with the new SCKAFO compared to their prescribed KAFO. Two KAFO users experienced a reduction in pelvic obliquity and hip abduction angle abnormalities when walking with the SCKAFO compared to their prescribed KAFO

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.384
Threshold uncertainty score0.901

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0010.000

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 head0.034
GPT teacher head0.295
Teacher spread0.262 · 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 designObservational
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

Citations0
Published2006
Admission routes1
Has abstractyes

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