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Study aim
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This is an era of machine learning. There is need of immediate application of such machine learning in Health Care. Although the work has been done in virtual reality in performance labs, this study is one of few that is being conducted directly with patient involvement. The unique feature is incorporating functional and recreational activities in stroke patient’s rehabilitation. The positive outcomes of this study can be integrated with machine learning algorithms that will be a revolution in field of stroke and other neurological rehabilitation.
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Design
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Randomized Clinical Trial
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Settings and conduct
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Kanaan Physiotherapy & Spine clinic, Shadman, Lahore, Pakistan
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Participants/Inclusion and exclusion criteria
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INCLUSION CRITERIA
• male and female between Age 41-60 years with Unilateral involvement of extremity and First exposure of stoke episode either hemorrhagic or ischemic in origin and stroke evident by reports of CT Scan or MRI
EXCLUSION CRITERIA
• Ischemic heart disease with unstable angina, History of seizers, Motor impairment such as neuropathy or Parkinson’s disease, Severe aphasia that can limit participation or feedback and Cognitive mental condition that can interfere with comprehension of commands
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Intervention groups
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Patients will be randomly allocated in two groups of 34 patients each i.e. Virtual Reality Group and Routine Physical Therapy Group by Coin Tossing method.
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Main outcome variables
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Any systematic disease, body mass index, status of speech inactivity, affected side of body and score of movements at shoulder, elbow, wrist, hip, knee and ankle joints against medical research council scale.
Functional assessment of hand, Upper limb and lower limb, Balance assessment