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Bispectrum Features and Multilayer Perceptron Classifier to Enhance Seizure Prediction.

Elie Bou Assi1, Laura Gagliano2, Sandy Rihana3

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Accurate seizure prediction can improve epilepsy patient care. This study shows bispectrum analysis of electroencephalography signals effectively identifies seizure precursors, achieving up to 78% accuracy with machine learning.

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Signal Processing

Background:

  • Drug-refractory epilepsy significantly impacts patient quality of life.
  • Accurate seizure forecasting requires identifying precursors from electroencephalography (EEG) recordings.
  • Existing EEG features struggle to independently characterize pre-seizure brain states.

Purpose of the Study:

  • To assess the feasibility of using bispectrum analysis, a higher-order statistics technique, as a seizure activity precursor.
  • To identify quantitative features from the bispectrum that differentiate preictal and interictal states.
  • To evaluate the predictive performance of bispectrum-derived features using a machine learning classifier.

Main Methods:

  • Extracted quantitative features from the bispectrum of EEG recordings.
  • Applied statistical tests to identify significant differences between preictal and interictal states.
  • Utilized normalized bispectral entropy, normalized bispectral squared entropy, and mean magnitude as inputs for a multilayer perceptron classifier.

Main Results:

  • All bispectrum-extracted features showed statistically significant differences (p < 0.05) between preictal and interictal states.
  • The multilayer perceptron classifier achieved accuracies of 78.11% (normalized bispectral entropy), 72.64% (normalized bispectral squared entropy), and 73.26% (mean magnitude).

Conclusions:

  • Bispectrum analysis is a feasible and effective method for identifying seizure precursors in EEG.
  • Bispectrum-derived features hold significant potential for improving the accuracy of seizure prediction algorithms.
  • This approach offers a promising avenue for enhancing the quality of life for individuals with epilepsy.