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Virtual reality for the rehabilitation of the upper limb motor function after stroke: a prospective controlled trial

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TLDR
VR rehabilitation in post-stroke patients seems more effective than conventional interventions in restoring upper limb motor impairments and motor related functional abilities.
Abstract
Recent evidence has demonstrated the efficacy of Virtual Reality (VR) for stroke rehabilitation nonetheless its benefits and limitations in large population of patients have not yet been studied. To evaluate the effectiveness of non-immersive VR treatment for the restoration of the upper limb motor function and its impact on the activities of daily living capacities in post-stroke patients. A pragmatic clinical trial was conducted among post-stroke patients admitted to our rehabilitation hospital. We enrolled 376 subjects who had a motor arm subscore on the Italian version of the National Institutes of Health Stroke Scale (It-NIHSS) between 1 and 3 and without severe neuropsychological impairments interfering with recovery. Patients were allocated to two treatments groups, receiving combined VR and upper limb conventional (ULC) therapy or ULC therapy alone. The treatment programs consisted of 2 hours of daily therapy, delivered 5 days per week, for 4 weeks. The outcome measures were the Fugl-Meyer Upper Extremity (F-M UE) and Functional Independence Measure (FIM) scales. Both treatments significantly improved F-M UE and FIM scores, but the improvement obtained with VR rehabilitation was significantly greater than that achieved with ULC therapy alone. The estimated effect size of the minimal difference between groups in F-M UE and FIM scores was 2.5 ± 0.5 (P < 0.001) pts and 3.2 ± 1.2 (P = 0.007) pts, respectively. VR rehabilitation in post-stroke patients seems more effective than conventional interventions in restoring upper limb motor impairments and motor related functional abilities. Italian Ministry of Health IRCCS Research Programme 2590412

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References
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Generalized Linear Models

Eric R. Ziegel
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TL;DR: This is the Ž rst book on generalized linear models written by authors not mostly associated with the biological sciences, and it is thoroughly enjoyable to read.

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TL;DR: The modern applied statistics with s is universally compatible with any devices to read, and is available in the digital library an online access to it is set as public so you can download it instantly.
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