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Upper extremity intervention for stroke combining virtual reality, robotics and electrical stimulation

机译:上肢干预卒中结合虚拟现实,机器人和电气刺激

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Approximately 80% of individuals with chronic stroke present with long lasting upper extremity (UE) impairments. We propose the perSonalized UPper Extremity Rehabilitation (SUPER) intervention, which combines robotics, virtual reality activities, and neuromuscular electrical stimulation (NMES). The objectives of our study were to determine the feasibility of the SUPER intervention in individuals with moderate/severe stroke. Stroke participants received a 4-week intervention (3x per week), based on their functional level. Their level of corticospinal tract recovery was assessed using the Predict Recovery Potential algorithm, involving measurements of motor evoked potentials and manual muscle testing. Those with low potential for hand recovery (shoulder group) received an intervention focusing on elbow and shoulder movements. Those with a good potential for hand recovery (hand group) also received EMG-triggered NMES. Outcomes included the Fugl-Meyer UE assessment, the Motor Activity Log and the Stroke Impact Scale. Approximately 40% of participants in either the hand or shoulder group showed changes in the Fugl-Meyer UE assessment superior to its minimum clinically important difference. This indicates that our personalized approach may be effective in improving UE function in specific individuals with moderate and severe impairments due to stroke.
机译:大约80%的慢性卒中的个体存在,具有长期的上肢(UE)损伤。我们提出了个性化的上肢康复(超级)干预,将机器人,虚拟现实活动和神经肌肉电刺激(NMES)结合在一起。我们的研究目标是确定具有中度/严重卒中的个体的超级干预的可行性。笔划参与者根据其功能级别获得了4周干预(每周3次)。使用预测恢复潜在算法评估它们的皮质脊髓恢复水平,涉及电动机诱发电位和手动肌肉测试的测量。那些具有低潜力的人恢复(肩部组)接受了一种针对肘部和肩部运动的干预。具有良好的手恢复潜力的人(手机组)也接受了EMG触发的纽姆斯。结果包括Fugl-Meyer UE评估,电机活动日志和行程冲击量表。在手或肩部组中约有40%的参与者在最低临床上的临床上差异上显示出Fugl-Meyer UE评估的变化。这表明我们的个性化方法可以有效地改善特定个体的UE功能,其由于行程而具有中等和严重的损伤。

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