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Artifact Removal Using Simultaneous Current Estimation of Noise and Cortical Sources

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Advances in Neuro-Information Processing (ICONIP 2008)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5506))

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Abstract

The measurement of magnetoencephalographic (MEG) signals is contaminated by large magnetic artifacts, such as heart beats, eye movements, and muscle activities, and so on. These artifacts can be orders of magnitude larger than the signal from the brain, thus making cortical current estimation extremely difficult. This paper proposes a novel method to remove the effects of artifacts by simultaneously estimating the cortical and artifactual dipole currents. By using proper prior information, we show that this method can estimate the currents of artifacts and cortical activities simultaneously, and the estimated cortical currents are more reasonable in comparison to those of previous methods.

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References

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Authors and Affiliations

  1. Department of Intelligent Systems Design Engineering, Toyama Prefectural University, Toyama, Japan

    Ken-ichi Morishige

  2. ATR Computational Neuroscience Laboratories, Kyoto, Japan

    Dai Kawawaki, Taku Yoshioka, Masa-aki Sato & Mitsuo Kawato

Authors
  1. Ken-ichi Morishige
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  2. Dai Kawawaki
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  3. Taku Yoshioka
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  4. Masa-aki Sato
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  5. Mitsuo Kawato
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Editor information

Editors and Affiliations

  1. Kyushu Institute of Technology, Network Design and Research Center, 680-4 Fukuoka, 820-8502, Kawazu, Iizuka, Japan

    Mario Köppen

  2. Knowledge Engineering and Discovery Research Institute (KEDRI), School of Computing and Mathematical Sciences, Auckland University of Technology, 350 Queen Street, 10110, Auckland, New Zealand

    Nikola Kasabov

  3. Department of Electrical and Computer Engineering, Robotics Laboratory, Auckland University of Technology, 38 Princes Street, 1142, Auckland, New Zealand

    George Coghill

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© 2009 Springer-Verlag Berlin Heidelberg

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Morishige, Ki., Kawawaki, D., Yoshioka, T., Sato, Ma., Kawato, M. (2009). Artifact Removal Using Simultaneous Current Estimation of Noise and Cortical Sources. In: Köppen, M., Kasabov, N., Coghill, G. (eds) Advances in Neuro-Information Processing. ICONIP 2008. Lecture Notes in Computer Science, vol 5506. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02490-0_41

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  • DOI: https://doi.org/10.1007/978-3-642-02490-0_41

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02489-4

  • Online ISBN: 978-3-642-02490-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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