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Record W2568638553

A Bbiomechanical Assessment of Active Video Gaming in Children with Cerebral Palsy Detailing Energy Expenditure, Muscle Activations, and Upper Limb Kinematics

2011· dissertation· en· W2568638553 on OpenAlexfundno aff
Jennifer D. Irwin

Bibliographic record

VenueTSpace (University of Toronto) · 2011
Typedissertation
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchHolland Bloorview Kids Rehabilitation Hospital Foundation
KeywordsCerebral palsyPhysical medicine and rehabilitationKinematicsEnergy expenditureVideo gamePhysical therapyUpper limbMedicinePsychologyComputer scienceMultimediaPhysics
DOInot available

Abstract

fetched live from OpenAlex

This thesis evaluated energy levels, muscle activity, and upper limb kinematics during AVG play in children with cerebral palsy (CP). For context, a systematic review was conducted, which found that AVGs elicited light to moderate physical activity in typically developing children. In children with CP, moderate levels of physical activity were achieved for Dance Dance Revolution and Wii Boxing, while light levels of physical activity were achieved for Wii Bowling and Wii Tennis. Muscle activity was highest during Wii Boxing, but remained below the maximum voluntary effort for all games and muscles. Angular velocities and accelerations were significantly larger in the dominant limb compared to the hemiplegic limb. When children played against a real opponent, dominant arm activity increased, while hemiplegic arm activity decreased. The results of this thesis indicate that AVGs may be an enjoyable and relatively safe option for children with CP to attain moderate physical activity.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.576
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0020.000

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 head0.012
GPT teacher head0.258
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.

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

Citations1
Published2011
Admission routes1
Has abstractyes

Explore more

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