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基于时空滤波方法的单次试验P300估计

Single-trial P300 estimation with a spatiotemporal filtering method.

作者信息

Li Ruijiang, Keil Andreas, Principe Jose C

机构信息

Computational NeuroEngineering Laboratory, University of Florida, PO Box 116130, Gainesville, FL 32611, USA.

出版信息

J Neurosci Methods. 2009 Mar 15;177(2):488-96. doi: 10.1016/j.jneumeth.2008.10.035. Epub 2008 Nov 7.

Abstract

A spatiotemporal filtering method for single-trial ERP component estimation is presented. Instead of modeling the entire ERP waveform, the method focuses on the ERP component local descriptors (amplitude and latency) thru the spatial diversity of multichannel recordings and thus it is tailored to extract signals in negative signal to noise ratio conditions. The model allows for both amplitude and latency variability in the ERP component under investigation. We applied the method to the estimation of the P300 component in an oddball target detection task and found that negative correlations exist between response time and single-trial P300 amplitude.

摘要

提出了一种用于单次试验ERP成分估计的时空滤波方法。该方法不是对整个ERP波形进行建模,而是通过多通道记录的空间多样性来关注ERP成分的局部描述符(幅度和潜伏期),因此它适用于在负信噪比条件下提取信号。该模型允许在所研究的ERP成分中存在幅度和潜伏期的变异性。我们将该方法应用于奇数次目标检测任务中P300成分的估计,发现反应时间与单次试验P300幅度之间存在负相关。

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