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Record W3168485027

Kinematic Asymmetries in the Wrist and Elbow During Axillary Crutch Use

2021· article· en· W3168485027 on OpenAlexaffabout
Christina Bueckert, Gregor Kuntze, Janet L. Ronsky, Ranita Harpreet Kaur Manocha

Bibliographic record

VenueCMBES Proceedings · 2021
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsKinematicsWristSymmetry (geometry)AsymmetryElbowGaitPhysical medicine and rehabilitationCrutchMathematicsMotion analysisAnatomyMedicineComputer sciencePhysicsGeometryEngineeringArtificial intelligenceStructural engineering
DOInot available

Abstract

fetched live from OpenAlex

INTRODUCTION Axillary crutches are frequently prescribed in North America to enable patients to ambulate safely through the support of the upper extremities. However, crutch use may result in abnormal upper extremity forces and movement patterns, potentially resulting in discomfort or injury. This study evaluated three gait asymmetry measurement approaches to quantify asymmetries in joint angles during crutch-assisted swing-through gait (STG).   METHODS Fifteen healthy adult males (ages 23 – 34 years) performed 10 trials of STG (1.40±0.07ms-1), landing on the left leg. Joint kinematics were recorded using a 10-camera optical tracking system (Motion Analysis, USA; 240Hz). Bilateral joint angles of the elbow and wrist were computed using Visual3D (C-Motion, USA) and normalized to 100% of the gait cycle. Asymmetry was quantified using Matlab (MathWorks, USA) at each percentage of the gait cycle using the symmetry index (SI)1, the normalized symmetry index2, and the symmetry angle3.   RESULTS Asymmetry varied throughout the gait cycle, and values varied between the different methods. The symmetry index showed areas of artificial inflation of the calculated value due to the required use of a reference value (Figure 1). The normalized symmetry index did not have the same artificial inflations but still required the use of a reference value. The symmetry angle required no reference value.  When the indices for a particular joint doing a specific motion were graphed generally all indices resulted in similarly shaped graphs. Peak asymmetry for radial-ulnar deviation of the wrist occurred at ~85% of the gait cycle, and peak asymmetry for flexion-extension of the elbow occurring at ~60% of the gait cycle.   CONCLUSIONS Axillary crutch use results in asymmetries at the elbow and wrist. These asymmetries vary throughout the gait cycle. In clinical practice, more injuries are seen on the side of the landing leg and the side of hand dominance.   ACKNOWLEDGEMENTS The authors would like to thank the Cumming School of Medicine & Alberta Health Services Clinical Research Fund Pre-Seed Grant (#18-1202) and Natural Science and Engineering Research Council of Canada Undergraduate Student Research Award for supporting this investigation.   REFERENCES Robinson R, Herzog W, Nigg B. Use of force platform variables to quantify the effects of chiropractic manipulation on gait symmetry. J Manip Physiol Ther. 1987;10:172–6. Queen R, Dickerson L, Ranganathan S, Schmitt D. A novel method for measuring asymmetry in kinematic and kinetic variables: the normalized symmetry index. J Biomech. 20AD;99. Zifchock RA, Davis I, Higginson J, Royer T. The symmetry angle: a novel, robust method of quantifying asymmetry. Gait Posture. 2008;27(4):622-627.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.110
Threshold uncertainty score0.271

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
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 head0.014
GPT teacher head0.260
Teacher spread0.246 · 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".

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Citations0
Published2021
Admission routes2
Has abstractyes

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