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基于感觉运动节律的脑-机接口中锁相值的应用:零相位耦合和空间滤波器的影响。

Use of phase-locking value in sensorimotor rhythm-based brain-computer interface: zero-phase coupling and effects of spatial filters.

机构信息

State Key Laboratory of Power Transmission Equipment and System Security and New Technology, School of Electrical Engineering, Chongqing University, Chongqing, 400044, China.

National Center for Adaptive Neurotechnologies, Wadsworth Center, New York State Department of Health, Albany, NY, USA.

出版信息

Med Biol Eng Comput. 2017 Nov;55(11):1915-1926. doi: 10.1007/s11517-017-1641-y. Epub 2017 Mar 25.

Abstract

Phase-locking value (PLV) is a potentially useful feature in sensorimotor rhythm-based brain-computer interface (BCI). However, volume conduction may cause spurious zero-phase coupling between two EEG signals and it is not clear whether PLV effects are independent of spectral amplitude. Volume conduction might be reduced by spatial filtering, but it is uncertain what impact this might have on PLV. Therefore, the goal of this study was to explore whether zero-phase PLV is meaningful and how it is affected by spatial filtering. Both amplitude and PLV feature were extracted in the frequency band of 10-15 Hz by classical methods using archival EEG data of 18 subjects trained on a two-target BCI task. The results show that with right ear-referenced data, there is meaningful long-range zero-phase synchronization likely involving the primary motor area and the supplementary motor area that cannot be explained by volume conduction. Another novel finding is that the large Laplacian spatial filter enhances the amplitude feature but eliminates most of the phase information seen in ear-referenced data. A bipolar channel using phase-coupled areas also includes both phase and amplitude information and has a significant practical advantage since fewer channels required.

摘要

锁相值(PLV)是基于感觉运动节律的脑机接口(BCI)中一个很有潜力的特征。然而,容积传导可能导致两个 EEG 信号之间出现虚假的零相位耦合,而且目前尚不清楚 PLV 效应是否独立于频谱幅度。容积传导可以通过空间滤波来降低,但尚不清楚这会对 PLV 产生什么影响。因此,本研究的目的是探讨零相位 PLV 是否有意义,以及空间滤波会如何影响它。通过使用 18 名受试者在双目标 BCI 任务上训练的档案 EEG 数据,使用经典方法在 10-15 Hz 的频带中提取幅度和 PLV 特征。结果表明,在右耳参考数据中,存在有意义的长程零相位同步,可能涉及初级运动区和辅助运动区,这不能用容积传导来解释。另一个新发现是,大的拉普拉斯空间滤波器增强了幅度特征,但消除了耳参考数据中看到的大部分相位信息。使用相位耦合区域的双极通道也包含相位和幅度信息,并且由于所需通道较少,因此具有显著的实际优势。

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