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An EEG-EMG correlation-based brain-computer interface for hand orthosis supported neuro-rehabilitation

机译:基于EEG-EMG相关性的脑电电脑界面,用于手矫形器支持神经康复

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Background: Corticomuscular coupling has been investigated for long, to find out the underlying mechanisms behind cortical drives to produce different motor tasks. Although important in rehabilitation perspective, the use of corticomuscular coupling for driving brain-computer interface (BCI)-based neurorehabilitation is much ignored. This is primarily due to the fact that the EEG-EMG coherence popularly used to compute corticomuscular coupling, fails to produce sufficient accuracy in single-trial based prediction of motor tasks in a BCI system.
机译:背景:长期研究了皮质瘤耦合,找出皮质驱动器背后的潜在机制,以产生不同的电机任务。 虽然在康复透视中重要的是,用于驱动脑电器界面(BCI)的皮质耦合的使用很大程度上。 这主要是由于脑电IMG相干性普遍用于计算皮质耦合的事实,不能在BCI系统中基于单试的电机任务预测中产生足够的准确性。

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