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Abstract No: 386 Effectiveness of Virtual Reality-Based Exercise Therapy along with Conventional Rehabilitation for Upper Limb Functions in Stroke Survivors

2025· article· en· W4412040567 on OpenAlexaboutno aff
Narkeesh Arumugam, Divya Midha

Bibliographic record

VenueJournal of Society of Indian Physiotherapists · 2025
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsnot available
Fundersnot available
KeywordsRehabilitationPhysical medicine and rehabilitationVirtual realityStroke (engine)Physical therapyMedicinePsychologyComputer scienceHuman–computer interactionEngineeringMechanical engineering

Abstract

fetched live from OpenAlex

Background: Individuals affected by stroke have reduced functional ability, personal autonomy, and social capacities due to motor and cognitive deficits. Due to the limits of traditional rehabilitation, alternative tactics targeting motor skill development and making use of the factors increasing experience-dependent plasticity have recently evolved, including activities using virtual reality (VR) technology. Purpose: To determine the effect of VR-based Therapy along with Conventional exercises in reducing upper limb motor impairment, Cognition Deficits, Depression, and improving quality of life in Individuals with Stroke. Relevance: This research provides valuable insights into the potential of innovative technologies to enhance patient outcomes. Participants: Individuals within the age group 30-60 years, diagnosed with sub-acute stage of stroke. Design: The study was a randomized controlled trial. Ethical approval had been taken from the institutional Ethical Committee Punjabi University Patiala (No.37/I/IEC/PUP/2023) Methods: The study included 10 Stroke survivors. They were randomly Divided into Two groups Group A (Experimental) and Group B (Control). In Group A received 30 minutes of VR- based therapy along with 30 minutes of Conventional therapy, 5 times per week for 4 weeks. Group B received 30 minutes of Conventional therapy twice a day for 5 times a week for 4 weeks. Participants were evaluated prior to the rehabilitation and at the end of 4 weeks. Fugl Meyer Assessment-UA, Montreal Cognitive Assessment, Stroke impact scale, and Beck Depression Inventory were used as outcome measures. Result: The improvements in MoCA (p=0.007), BDI (p=0.03) and SIS (Mobility (p=0.001), Emotion (p=0.03), Memory, and thinking (p=0.04) scores were significantly greater in the Experimental group than in the Control group. Conclusion: VR-based exercise therapy along with conventional therapy has additional benefit for stroke upper limb rehabilitation.

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)0.001
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 score0.376
Threshold uncertainty score0.467

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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 head0.008
GPT teacher head0.289
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

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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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