Robot-Assisted Arm Training in Chronic Stroke: Addition of Transition-to-Task Practice
Autor: | George F. Wittenberg, Jill Whitall, Susan S. Conroy, Christopher T. Bever, Min Zhan, Hermano Igo Krebs |
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Rok vydání: | 2019 |
Předmět: |
Moderate to severe
Adult Male 030506 rehabilitation medicine.medical_specialty Shoulder medicine.medical_treatment Task (project management) law.invention 03 medical and health sciences 0302 clinical medicine Physical medicine and rehabilitation Primary outcome Randomized controlled trial law medicine Elbow Humans Single-Blind Method Prospective Studies Chronic stroke Stroke Aged Rehabilitation business.industry Stroke Rehabilitation General Medicine Recovery of Function Robotics Middle Aged Wrist medicine.disease Exercise Therapy Paresis Motor task Treatment Outcome Arm Female 0305 other medical science business 030217 neurology & neurosurgery |
Zdroj: | Neurorehabilitation and neural repair. 33(9) |
ISSN: | 1552-6844 |
Popis: | Background. Robot-assisted therapy provides high-intensity arm rehabilitation that can significantly reduce stroke-related upper extremity (UE) deficits. Motor improvement has been shown at the joints trained, but generalization to real-world function has not been profound. Objective. To investigate the efficacy of robot-assisted therapy combined with therapist-assisted task training versus robot-assisted therapy alone on motor outcomes and use in participants with moderate to severe chronic stroke-related arm disability. Methods. This was a single-blind randomized controlled trial of two 12-week robot-assisted interventions; 45 participants were stratified by Fugl-Meyer (FMA) impairment (mean 21 ± 1.36) to 60 minutes of robot therapy (RT; n = 22) or 45 minutes of RT combined with 15 minutes therapist-assisted transition-to-task training (TTT; n = 23). The primary outcome was the mean FMA change at week 12 using a linear mixed-model analysis. A subanalysis included the Wolf Motor Function Test (WMFT) and Stroke Impact Scale (SIS), with significance P |
Databáze: | OpenAIRE |
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