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Record W1964609666 · doi:10.12965/jer.140112

The effect of action observation training on knee joint function and gait ability in total knee replacement patients

2014· article· en· W1964609666 on OpenAlexaboutno aff
Seong Doo Park, Hyun Seung Song, Jin Young Kim

Bibliographic record

VenueJournal of Exercise Rehabilitation · 2014
Typearticle
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsnot available
FundersHowon University
KeywordsMedicineWOMACOsteoarthritisPhysical therapyTimed Up and Go testTotal knee replacementRehabilitationPhysical medicine and rehabilitationBalance (ability)Knee JointSignificant differenceKnee replacementArthroplastySurgeryInternal medicine

Abstract

fetched live from OpenAlex

The purpose of this study is to investigate that effect of action observation training (AOT) on knee joint function and balance in total knee replacement (TKR) patients. The subjects consisted of eighteen post-TKR patients. All participants underwent conventional physical therapy. In addition, patients in the AOT group (n= 9) were asked to observe video clips showing daily actions and to imitate them afterward. Patients in the control group (n= 9) were asked to execute the same actions as patients in the AOT group. Outcome measures Western Ontario and Mc-Master Universities Osteoarthritis Index (WOMAC) included pain, stiffness, function and Timed Up and Go (TUG) test. After intervention, patients in the AOT group score better than patients in the control group. After TUG test, patients in the AOT group and control group were no significant difference between two groups. In addition to conventional physical therapy, AOT is effective in the rehabilitation of post-TKR patients. Action observation training is considered conducive to improving knee functions and ameliorating pain and stiffness, of patients who underwent TKR.

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)0.004
metaresearch head score (Gemma)0.001
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 score0.299
Threshold uncertainty score0.324

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
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 head0.024
GPT teacher head0.302
Teacher spread0.278 · 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

Citations45
Published2014
Admission routes1
Has abstractyes

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