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Time-Frequency Analysis of EEG Based on Event Related Cognitive Task

机译:基于事件相关认知任务的脑电图时频分析

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摘要

Compared with traditional time analysis and frequency analysis, time-frequency analysis of EEG not only reveals more abundant information but also reflects their dynamic temporal oscillatory activities. Event related potential (ERP) is a kind of cognitive electroencephalogram (EEG) signal, which are directly related with task and average across spontaneous EEG. Effective time-frequency representation method and how to analyze EEG based on the event related cognitive task in time-frequency domain according to their experiment speciality are the hot study at present. In current paper, a new time-frequency method about filter bank and Hilbert transform (FBHT) was introduced, and the application for ERP and ER-EEG signal were explored in order to mine new information effectively during the classic Stroop cognitive task.
机译:与传统的时间分析和频率分析相比,脑电图的时频分析不仅揭示了更为丰富的信息,而且反映了其动态的时间振荡活动。事件相关电位(ERP)是一种认知脑电图(EEG)信号,与自发性EEG的任务和平均值直接相关。目前有效的时频表示方法以及如何根据时频领域中与事件相关的认知任务进行脑电图分析的实验特点是目前研究的热点。本文介绍了一种有关滤波器组和希尔伯特变换(FBHT)的时频新方法,并探索了ERP和ER-EEG信号的应用,以便在经典的Stroop认知任务中有效地挖掘新信息。

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