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Analysis on EEG Signals in Visually and Auditorily Guided Saccade Task by FICAR

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Independent Component Analysis and Blind Signal Separation (ICA 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3889))

Abstract

Recently an independent component analysis (ICA) becomes powerful tools to processing bio-signals. In our studies, the ICA is applied to processing on saccade-related EEG signals in order to predict saccadic eye movements because an ensemble averaging, which is a conventional processing method of EEG signals, is not suitable for real-time processing. We have already detected saccade-related independent components (ICs) by ICA. However, features of saccade-related EEG signals and saccade-related ICs were not compared. In this paper, saccade-related EEG signals and saccade-related ICs in visually and auditorily guided saccade task are compared in the point of the latency between starting time of a saccade and time when a saccade-related EEG signal or an IC has maximum value and in the point of the peak scale where a saccade-related EEG signal or an IC has maximum value.

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References

  1. Funase, A., Yagi, T., Kuno, Y., Uchikawa, Y.: A Study on electro-encephalo-gram (EEG) in Eye Movementsh. Studies in Applied Electromagnetics and Mechanics 18, 709–712 (2000)

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Author information

Authors and Affiliations

  1. Graduate School of Engineering, Nagoya Institute of Technology, Gokiso-cho, Showa-ku, Nagoya, 466-8555, Japan

    Arao Funase, Motoaki Mouri & Ichi Takumi

  2. Brain Science Institute, RIKEN, 2-1, Hirosawa, Wako, 351-0198, Japan

    Arao Funase & Andrzej Cichocki

  3. Graduate School of Information Science and Engineering, Tokyo Institute of Technology, 1-12-1, Ookayama, Meguro-ku, Tokyo, 152-8555, Japan

    Yagi Tohru

  4. Bio-Mimetic Control Research Center, RIKEN, 2271-130, Anagahora, Shimoshidami, Moriyama-ku, Nagoya, 463-0003, Japan

    Yagi Tohru

  5. Technological Center, Universidade Federal do Maranhão, Rua dos Guriatans, Qd. 5, casa 22, Renascenca II, Sao Luis, MA, 65075000, Brazil

    Allan K. Barros

Authors
  1. Arao Funase
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  2. Yagi Tohru
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  3. Motoaki Mouri
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  4. Allan K. Barros
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  5. Andrzej Cichocki
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  6. Ichi Takumi
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Editor information

Editors and Affiliations

  1. Siemens Corporate Research, 755 College Road East, 08540, Princeton, NJ, USA

    Justinian Rosca

  2. Department of CSEE, Oregon Health and Science University, Portland, Oregon, USA

    Deniz Erdogmus

  3. Dep. of Electrical and Computer Engineering, University of Florida, Gainesville, Florida, USA

    José C. Príncipe

  4. McMaster University, 1280 Main Street West, L8S 4K1, Hamilton, Ontario, Canada

    Simon Haykin

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© 2006 Springer-Verlag Berlin Heidelberg

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Funase, A., Tohru, Y., Mouri, M., Barros, A.K., Cichocki, A., Takumi, I. (2006). Analysis on EEG Signals in Visually and Auditorily Guided Saccade Task by FICAR. In: Rosca, J., Erdogmus, D., Príncipe, J.C., Haykin, S. (eds) Independent Component Analysis and Blind Signal Separation. ICA 2006. Lecture Notes in Computer Science, vol 3889. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11679363_55

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  • DOI: https://doi.org/10.1007/11679363_55

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-32630-4

  • Online ISBN: 978-3-540-32631-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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