Abstract
Introduction: Stroke is the third-leading cause of major long-term disability and the second-leading cause of mortality worldwide. Paralysis, paresis (muscle weakness), spasticity, difficulty walking, difficulty controlling motions, and limb discomfort are frequent limb impairments. Nearly 80% of stroke survivors are affected. Stroke survivors suffer with physical disabilities in addition to a reduced quality of life in terms of their health, a higher degree of worry, and a loss of independence. With a prevalence of 55% to 75%, hand motor deficits are the most prevalent post-stroke.1 The most common impairment is motor dysfunction, which affects 90% of stroke survivors with some kind of upper limb motor disability. Motor dysfunction is a strong indicator of poor functional recovery. The most typical post-stroke symptom is hemiparesis.1 Objectives: The study's objective was to use a virtual reality system to enhance upper limb strength and function in hemiparesis. The study's secondary goal was to lessen tension and anxiety in stroke Survivors. Methods: This research was experimental. A patient was chosen from UEM Hospital in Jaipur, Rajasthan, based on inclusion and exclusion criteria. Upper Extremity Functional Index (UEFI) and Depression Anxiety Stress Scale (DASS-21) were employed as outcome measures to evaluate the patients. Result: The outcome of the post-intervention data revealed that the Upper Extremity Functional Index (UEFI) had significant values of P.311. P .002 was used to determine the importance of the Depression Anxiety Stress Scale (DASS-21). That indicates that following the intervention, all outcome indicators showed a considerable improvement. Conclusion: The post-intervention values of the depression anxiety stress scale (DASS 21) and the upper extremity functional index (UEFI) both indicated a substantial improvement. In order to improve strength and upper limb functions following hemiparesis and to lessen tension and anxiety as a result of the handicap, a low-cost VR system might be employed.
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