Anomaly Prediction by Wavelet-Based EEG Analysis

Koji Kashihara1, Yuuki Katakura1

  • 1Tokushima University

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Poster Session

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10:00 - 17:00 | Mon 29 Oct | Foyer | A1P-G

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Abstract

We evaluated electroencephalogram (EEG) data on childhood epileptic seizures. The wavelet-based EEG analysis was able to characterize and predict the abnormal brain state immediately before the seizures; in special, the increased α and β powers of EEG were related with the following abnormalities. The wavelet-based EEG analysis has a possibility to be applied to the prediction system of seizures to prevent accidents beforehand.

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