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Approximately 80% of individuals with chronic stroke present with long lasting upper extremity (UE) impairments. Advances in rehabilitation technology, such as robotics, virtual reality (VR) and neuromuscular electrical stimulation (NMES), have separately demonstrated their effectiveness in improving UE function of individuals with stroke. The potential to influence recovery may be further enhanced by combining these modalities in order to target motor deficits of the individual. Research has shown that not all persons with stroke may be able to recover hand function. In particular, such recovery depends on the integrity of the corticospinal tract (CST), which links the motor areas of the brain to the UE (and hand) musculature. Instead of using a 'one-size-fits-all' approach to UE rehabilitation, CST integrity will be assessed through transcranial magnetic stimulation (TMS), a non-invasive approach, and match the intervention to the individual's specific impairments. The perSonalized UPper Extremity Rehabilitation (SUPER) intervention is proposed, which combines robotics, VR activities, and NMES. The objectives of this study are to determine the feasibility of the SUPER intervention in individuals with moderate/severe stroke. Stroke participants will receive a 5-week intervention (3x per week) combining robotic therapy and VR activities, based on their functional level. Those with low potential for hand recovery will receive an intervention focussing on elbow and shoulder movements. For those with a good potential for hand recovery, the last 30 minutes of the robotic or VR session will be complemented by muscle-triggered NMES. Feasibility indicators associated with process, resources, management and treatment will be measured. Outcomes of UE and hand function will include the Fugl-Meyer upper extremity assessment, the Box and Block test and the ABILHAND. It is expected that feasibility criteria will be met and that the SUPER intervention will lead to significant improvements in UE impairment compared to a waitlist group.
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32 participants in 1 patient group
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Data sourced from clinicaltrials.gov
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