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Record W3108718598 · doi:10.33137/cpoj.v3i2.34481

INVESTIGATION OF THE EFFECTS OF PROSTHETIC KNEE CONDITION FOR INDIVIDUALS WITH TRANSFEMORAL AMPUTATION DURING ATTEMPTED RUNNING

2020· article· en· W3108718598 on OpenAlexvenueaboutno aff
Natalie Blakeley, Barbara Silver-Thorn, Janelle A. Cross

Bibliographic record

VenueCanadian Prosthetics & Orthotics Journal · 2020
Typearticle
Languageen
FieldEngineering
TopicProsthetics and Rehabilitation Robotics
Canadian institutionsnot available
Fundersnot available
KeywordsAmputationArtificial limbsPhysical medicine and rehabilitationMedicineProsthesisSurgery

Abstract

fetched live from OpenAlex

BACKGROUND: A number of individuals with unilateral transfemoral amputation (TFA) run in a prosthesis with an unlocked prosthetic knee, while others choose to run with a locked prosthetic knee to increase stability. Research regarding running with an unlocked knee (UK) versus a locked knee (LK), with respect to energy efficiency, is limited and might be enhanced by characterization of the impact of knee condition on kinematics.
 OBJECTIVE: To investigate the effect of an UK versus LK on hip kinematics, energy efficiency, and running speed.
 METHODOLOGY: Five male novice runners with unilateral TFA completed one three-minute self-selected running speed (SSRS) trial and three peak speed trials per knee condition. Hip kinematics, energy efficiency, and running speed were compared between conditions.
 FINDINGS: Four of the five subjects exhibited a fast walk, rather than a consistent run. Hip flexion increased for all subjects and hip abduction decreased for four subjects during swing phase for the UK condition. Hip kinematic asymmetry was reduced for the UK condition in the sagittal plane for four individuals; hip kinematic asymmetry was also reduced in the frontal plane for the UK condition for three of these individuals. Mean energy efficiency was better for the UK condition (UK: 0.282 mLO2/kg/m, LK: 0.328 mLO2/kg/m). Peak running speed did not differ significantly between knee conditions (UK: 1.47 m/s, LK:1.32 m/s).
 CONCLUSIONS: For novice recreational runners with unilateral transfemoral amputation, the UK condition resulted in improved energy efficiency and enhanced kinematic symmetry, despite comparable peak speed relative to the LK condition. Therefore the UK condition may be advantageous for mid-range distance running.
 Layman's Abstract
 Runners with above-knee amputation may run with a prosthetic leg. Some runners prefer to run with their prosthetic knee unlocked, able to flex and extend, while others prefer to run with the prosthetic knee locked. The purpose of this study was to determine the effects of unlocked and locked knee conditions on hip motion, energy efficiency, and running speed during attempted running. Five male novice runners with an amputation above the knee attempted running for three-minutes at a comfortable speed, followed by three fast walks/sprints with the prosthetic knee unlocked and then locked. Most of the novice runners exhibited more symmetric hip motion while fast walking/running with an unlocked prosthetic knee. All our subjects were more energy efficient or exerted less energy with the unlocked prosthetic knee.
 Article PDF Link: https://jps.library.utoronto.ca/index.php/cpoj/article/view/34481/26590
 How To Cite: Blakeley N., Silver-Thorn B., Cross J.A. Investigation of the effects of prosthetic knee condition for individuals with transfemoral amputation during attempted running. Canadian Prosthetics & Orthotics Journal. 2020; Volume 3, Issue 2, No.3. https://doi.org/10.33137/cpoj.v3i2.34481
 Corresponding Author:Natalie Blakeley, Department of Biomedical Engineering, Marquette University, Milwaukee, USA. E-mail: Blakeley.natalie@gmail.comORCID: https://orcid.org/0000-0002-2066-4096

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)0.000
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: Empirical
Teacher disagreement score0.449
Threshold uncertainty score0.620

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.006
GPT teacher head0.184
Teacher spread0.178 · 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".

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Citations0
Published2020
Admission routes2
Has abstractyes

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