2 results match your criteria: "Lurija Institute and Department of Neurological Rehabilitation[Affiliation]"

Clinical gait analysis plays a central role in the rehabilitation of stroke patients. However, practical and technical challenges limit their use in clinical settings. This study aimed to validate SMARTGAIT, a deep learning-based gait analysis system that addresses these limitations.

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Background: Physical training is able to induce changes at neurophysiological and behavioral level associated with performance changes for the trained movements. The current study explores the effects of an additional intense robot-assisted upper extremity training on functional outcome and motor excitability in subacute stroke patients.

Methods: Thirty moderately to severely affected patients < 3 months after stroke received a conventional inpatient rehabilitation.

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