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Differences in Motor Imagery Activity Between the Paretic and Non-paretic Hands in Stroke Patients Using an EEG BCI

机译:脑电图脑卒中患者脑卒中患者手部和非手部运动成像活动的差异

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Stroke is the leading cause of serious and long-term disability worldwide. Stroke survivors may recover some motor function after rehabilitation therapy. Many studies have shown that motor imagery (MI) based brain-computer Interface (BCI) can improve upper limb stroke rehabilitation. However, as stroke patients have suffered neurological damage, the brain regions associated with motor function might be compromised, thus impairing BCI performance. In this paper, we tried to explore whether stroke patients' imagination of hand movement differed between paretic versus non-paretic hands. Ten stroke patients (5 male, aged 21-69 years, mean 48.4 ± 15.4) participated in this study. They imagined moving either the left or the right hand according to cues. The common spatial patterns (CSP) approach was used to extract MI features, and a support vector machine (SVM) was used for classification. Results did not show that motor imagery accuracy for paretic hands was not substantially worse than with non-paretic hands. In tandem with other work assessing motor accuracy in healthy participants versus stroke patients, these results suggest that possible concerns about stroke patients' use of BCI-based motor imagery systems may not present serious obstacles to wider research and implementation.
机译:中风是导致世界范围内严重和长期残疾的主要原因。中风幸存者在康复治疗后可能会恢复一些运动功能。许多研究表明,基于运动图像(MI)的脑机接口(BCI)可以改善上肢中风的康复。但是,由于中风患者遭受了神经系统损害,与运动功能相关的大脑区域可能会受到损害,从而损害BCI性能。在本文中,我们试图探讨卒中患者对手部动作的想象在平手和非平手之间是否有所不同。十名中风患者(5名男性,年龄21-69岁,平均48.4±15.4)参加了这项研究。他们想象根据提示移动左手或右手。使用公共空间模式(CSP)方法提取MI特征,并使用支持向量机(SVM)进行分类。结果并未表明,模拟手的运动图像准确性没有比非接触手的运动图像准确性明显差。与评估健康参与者和中风患者的运动准确性的其他工作一起,这些结果表明,对中风患者使用基于BCI的运动成像系统的担忧可能不会对更广泛的研究和实施构成严重障碍。

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