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Automatic detection of the topographical distribution of EEG rhythms based on an iterative adjustment of the averaged reference potential

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Abstract

Electroencephalogram (EEG) interpretation is important for the investigation of brain diseases. In this study, an automatic technique was developed to detect the topographical distribution of EEG rhythms. In order to obtain the topographical distribution, the amplitude of the EEG rhythm was analyzed based on the referential derivation where the reference potential was adjusted iteratively. The result of the automatic detection of the topographical distribution was helpful in highlighting the EEG rhythms of interest for automatic EEG interpretation. The technique developed has application significance for real clinics.

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Author information

Authors and Affiliations

  1. Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education, School of Information Science and Engineering, East China University of Science and Technology, No. 130 Meilong Street, Shanghai, 200237, China

    Bei Wang & Xingyu Wang

  2. Department of Neurology, Kyoto University, Kyoto, Japan

    Akio Ikeda

  3. Department of System Neuroscience, Sapporo Medical University, Hokkaido, Japan

    Takashi Nagamine

  4. Takeda General Hospital, Kyoto, Japan

    Hiroshi Shibasaki

  5. Research Institute of Systems Control, Institute for Advanced Research and Education, Saga University, Saga, Japan

    Masatoshi Nakamura

Authors
  1. Bei Wang
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  2. Xingyu Wang
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  3. Akio Ikeda
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  4. Takashi Nagamine
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  5. Hiroshi Shibasaki
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  6. Masatoshi Nakamura
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Corresponding author

Correspondence to Bei Wang.

Additional information

This work was presented in part at the 16th International Symposium on Artificial Life and Robotics, Oita, Japan, January 27–29, 2011

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Wang, B., Wang, X., Ikeda, A. et al. Automatic detection of the topographical distribution of EEG rhythms based on an iterative adjustment of the averaged reference potential. Artif Life Robotics 16, 243–247 (2011). https://doi.org/10.1007/s10015-011-0928-6

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  • DOI: https://doi.org/10.1007/s10015-011-0928-6

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