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Bispectrum features and multilayer perceptron classifier to enhance seizure prediction

Elie Bou Assi, Laura Gagliano, Sandy Rihana, Dang K. Nguyen, Mohamad Sawan

Article (2018)

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Abstract

The ability to accurately forecast seizures could significantly improve the quality of life of patients with drug-refractory epilepsy. Prediction capabilities rely on the adequate identification of seizure activity precursors from electroencephalography recordings. Although a long list of features has been proposed, none of these is able to independently characterize the brain states during transition to a seizure. This work assessed the feasibility of using the bispectrum, an advanced signal processing technique based on higher order statistics, as a precursor of seizure activity. Quantitative features were extracted from the bispectrum and passed through two statistical tests to check for significant differences between preictal and interictal recordings. Results showed statistically significant differences (p < 0.05) between preictal and interictal states using all bispectrum-extracted features. We used normalized bispectral entropy, normalized bispectral squared entropy, and mean of magnitude as inputs to a 5-layer multilayer perceptron classifier and achieved respective held-out test accuracies of 78.11%, 72.64%, and 73.26%.

Uncontrolled Keywords

Algorithms; Animals; Dogs; Humans; Neural Networks, Computer; Seizures, diagnosis; Statistics as Topic

Subjects: 1900 Biomedical engineering > 1900 Biomedical engineering
2700 Information technology > 2713 Algorithms
2700 Information technology > 2721 Multimedia systems and networks
Department: Department of Electrical Engineering
Institut de génie biomédical
Research Center: Polystim - Neurotechnology Laboratory
Funders: CRSNG/NSERC, Epilepsy Canada, Institute for Data Valorization (IVADO)
PolyPublie URL: https://publications.polymtl.ca/4800/
Journal Title: Scientific Reports (vol. 8)
Publisher: Springer Nature
DOI: 10.1038/s41598-018-33969-9
Official URL: https://doi.org/10.1038/s41598-018-33969-9
Date Deposited: 12 May 2021 11:24
Last Modified: 16 Nov 2022 02:44
Cite in APA 7: Bou Assi, E., Gagliano, L., Rihana, S., Nguyen, D. K., & Sawan, M. (2018). Bispectrum features and multilayer perceptron classifier to enhance seizure prediction. Scientific Reports, 8. https://doi.org/10.1038/s41598-018-33969-9

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