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Record W3183781325 · doi:10.37506/ijphrd.v12i4.16571

Efficacy of Virtual Reality Induced Environmental and Habitual Navigation on Psychological, Cognitive Function that Impacts on Physical Recovery in Patients with Stroke

2021· article· en· W3183781325 on OpenAlex
S. Kamble, R. M. Singaravelan, Tejas Borkar

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

VenueIndian Journal of Public Health Research & Development · 2021
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsnot available
Fundersnot available
KeywordsAnxietyVirtual realityRehabilitationCognitionPsychologyStroke (engine)Rating scaleQuality of life (healthcare)Montreal Cognitive AssessmentFunctional Independence MeasurePhysical medicine and rehabilitationIntervention (counseling)Affect (linguistics)Hamilton Anxiety Rating ScaleClinical psychologyPhysical therapyPsychiatryMedicinePsychotherapistDevelopmental psychologyCognitive impairment

Abstract

fetched live from OpenAlex

[Background] Cognitive dysfunction after a stroke is normal, but it is underdiagnosed and has a badprognosis. In 40-70 percent of stroke survivors, there is a degree of cognitive dysfunction. Similarly,psychometric issues such as anxiety and depression are normal following stroke but are mostly untreated,resulting in a patient’s poor quality of life. Whereas it also has an effect on a person’s rehabilitation. Theuse of traditional methodology has certain beneficial effects, but it is not necessarily handled with theindividual’s own interests in mind. Virtual reality, on the other hand, seems to play a role in dealing withsuch issues, especially where they are linked to neurological disorders. Virtual reality navigation has thepotential to enhance basic cognitive functions such as visuo-spatial perception, executive performance, andattention, both of which can affect one’s psychological state and aid in functional rehabilitation. Cognitivedeficits and social issues must be addressed because they have a detrimental impact on functional abilitiesand quality of life.[Methodology] Twenty-three participants between the ages of 40 and 60 with a stroke diagnosis were chosen.Participants were split into two groups: Group A, which received Virtual Reality induced environmental andhabitual navigation as well as Conventional Physiotherapy, and Group B, which received ConventionalPhysiotherapy as well as cognitive training and relaxation for 4 weeks of duration. The Montreal CognitiveAssessment (MoCA), Hamilton Anxiety Rating Scale (HARS), Hamilton Depression Rating Scale (HDRS),and Functional Independence Measure (FIM) were used to conduct pre and post intervention evaluations.[Conclusion] The study found that combining virtual reality-induced environmental and habitual navigationwith conventional physiotherapy improves cognitive control, psychological function, and functional recoveryin stroke patients more effectively than treating them with conventional physiotherapy alone.

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.569
Threshold uncertainty score0.423

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.130
GPT teacher head0.406
Teacher spread0.276 · 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