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Record W1974444241 · doi:10.1089/cpb.2006.9.137

Virtual Reality in the Rehabilitation of the Upper Limb after Stroke: The User’s Perspective

2006· article· en· W1974444241 on OpenAlex

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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCyberPsychology & Behavior · 2006
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsnot available
FundersStroke AssociationHeart and Stroke Foundation of Canada
KeywordsVirtual realityRehabilitationImmersion (mathematics)Perspective (graphical)Physical medicine and rehabilitationStroke (engine)PsychologyHuman–computer interactionPhysical therapyComputer scienceMedicineEngineeringArtificial intelligenceMathematics

Abstract

fetched live from OpenAlex

Our group has developed a relatively low-cost virtual reality (VR) system for rehabilitation of the upper limb following stroke. Our system is immersive in that the participant views a representation of their arm and hand, reaching and retrieving objects in the virtual environment (VE), through a head-mounted display (HMD). This is thought to increase the participant's sense of presence in the VE and may lead to improved rehabilitation outcomes. However, use of immersion, particularly with our low-cost system, may increase the incidence of side effects reported. Therefore, the aim of this project was to assess the interaction of healthy users and those following stroke, in terms of their experience of presence in the VE and the rate of self-reported side effects. Differences in rates of perceived exertion, levels of enjoyment, and sense of control between both groups were also explored.

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)0.001
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 score0.022
Threshold uncertainty score0.297

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.013
GPT teacher head0.319
Teacher spread0.307 · 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