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Realization of artificial intelligence for integrative electroencephalogram interpretation

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Abstract

A fully automatic interpretation of an awake electroencephalogram (EEG) has been developed. Automatic integrative EEG interpretation consists of four main parts: quantitative EEG interpretation, EEG report making, preprocessing of EEG data, and adaptable EEG interpretation. Automatic integrative EEG interpretation reveals essentially the same findings as those of an electroencephalographer (EEGer), and is therefore applicable in clinical situations as an additional tool for the EEGer. The method has been developed through collaboration between the engineering field (Saga University) and the medical field (Kyoto University). This work can be understood as a realization of artificial intelligence. The procedure for this realization of artificial intelligence will also be applicable in other fields of systems control.

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Authors and Affiliations

  1. Department of Advanced Systems Control Engineering, Graduate School of Science and Engineering, Saga University, Honjomachi, 840-8502, Saga, Japan

    M. Nakamura & T. Sugi

  2. Department of Brain Pathophysiology, Graduate School of Medicine, Kyoto University, Sakyo-ku, 606-8507, Kyoto, Japan

    A. Ikeda & H. Shibasaki

Authors
  1. M. Nakamura
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  2. T. Sugi
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  3. A. Ikeda
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  4. H. Shibasaki
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Corresponding author

Correspondence to M. Nakamura.

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Nakamura, M., Sugi, T., Ikeda, A. et al. Realization of artificial intelligence for integrative electroencephalogram interpretation. Artificial Life and Robotics 2, 91–95 (1998). https://doi.org/10.1007/BF02471161

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  • DOI: https://doi.org/10.1007/BF02471161

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