Imbalanced EEG Analysis Using One-Shot Learning with Siamese Neural Network

Munawara Saiyara Munia, Seyyed Mohammadsaleh Hosseini, Mehrdad Nourani, Jay H Harvey, Hina Dave

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Epilepsy is a socially-stigmatizing chronic neurological condition. Limited availability of seizure Electroencephalogram (EEG) data makes the application of machine learning techniques for epileptic seizure detection very challenging. In this work, an efficient algorithmic procedure is proposed to facilitate the learning and classification of epileptic seizures from imbalanced EEG data. We designed an end-to-end architecture by combining local binary pattern with Siamese convolutional neural network. We used local binary pattern due to its capability to capture distinguishable morphological characteristics in the EEG signal. Siamese convolutional neural network was used since it can learn a similarity metric using an extremely small number of training samples for seizure episodes. With availability of a very small amount of training (seizure) samples, the effectiveness of the proposed method was verified by comparing the Siamese convolutional neural network with a baseline convolutional neural network. The proposed architecture outperforms the baseline model and achieves an average of 11.66% increase in F1-measure.

Original languageEnglish (US)
Title of host publicationProceedings - 2021 IEEE 9th International Conference on Healthcare Informatics, ISCHI 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4-12
Number of pages9
ISBN (Electronic)9781665401326
DOIs
StatePublished - Aug 2021
Event9th IEEE International Conference on Healthcare Informatics, ISCHI 2021 - Virtual, Victoria, Canada
Duration: Aug 9 2021Aug 12 2021

Publication series

NameProceedings - 2021 IEEE 9th International Conference on Healthcare Informatics, ISCHI 2021

Conference

Conference9th IEEE International Conference on Healthcare Informatics, ISCHI 2021
Country/TerritoryCanada
CityVirtual, Victoria
Period8/9/218/12/21

Keywords

  • Convolutional Neural Network (CNN)
  • Electroencephalogram (EEG)
  • Epileptic Seizure Detection
  • Local Binary Pattern (LBP)
  • One-shot Learning
  • Siamese Neural Network

ASJC Scopus subject areas

  • Modeling and Simulation
  • Health Informatics
  • Health(social science)

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