Abstract No: 386 Effectiveness of Virtual Reality-Based Exercise Therapy along with Conventional Rehabilitation for Upper Limb Functions in Stroke Survivors
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".