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

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Advances in Neural Networks - ISNN 2006 (ISNN 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3973))

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Abstract

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.

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© 2006 Springer-Verlag Berlin Heidelberg

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Wen, XT., Zhao, XJ., Yao, L. (2006). Time-Frequency Analysis of EEG Based on Event Related Cognitive Task. In: Wang, J., Yi, Z., Zurada, J.M., Lu, BL., Yin, H. (eds) Advances in Neural Networks - ISNN 2006. ISNN 2006. Lecture Notes in Computer Science, vol 3973. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11760191_85

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  • DOI: https://doi.org/10.1007/11760191_85

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34482-7

  • Online ISBN: 978-3-540-34483-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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