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Record W2041901680 · doi:10.3109/02703181.2013.814743

The Effects of a Home-Based Virtual Reality Rehabilitation Program on Balance Among Individuals with Parkinson's Disease

2013· article· en· W2041901680 on OpenAlex
Jeffrey D. Holmes, Michelle L. Gu, Andrew M. Johnson, Mary E. Jenkins

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePhysical & Occupational Therapy In Geriatrics · 2013
Typearticle
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsWestern University
Fundersnot available
KeywordsBalance (ability)RehabilitationPhysical medicine and rehabilitationPhysical therapyMedicineParkinson's diseaseBalance trainingConfidence intervalDisease

Abstract

fetched live from OpenAlex

Background and Purpose: Recently, the Nintendo Wii has emerged as an innovation in rehabilitation. Although research findings to date have contributed to our understanding of the effects of implementing the Wii as a rehabilitation tool, evidence supporting the Wii for improving symptoms in Parkinson's disease (PD) remains limited. The purpose of this study, therefore, was to evaluate the effectiveness of a 12-week home-based exercise program designed around the Wii, in improving balance, balance confidence, and maintaining exercise adherence among individuals with PD. Methods: Fifteen participants were recruited to engage in 30 minutes of Wii activity 3×/week for 12 weeks. Results: Balance and balance confidence improved from baseline to midintervention, but reverted back to near baseline values at postintervention. Exercise adherence was maintained equally throughout the study. Conclusions: The Nintendo Wii has potential to be an effective treatment strategy for improving balance, balance confidence, and fostering programmatic adherence among individuals with PD.

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.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.396

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 head0.011
GPT teacher head0.292
Teacher spread0.281 · 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