Impact of personalization on epileptic seizure prediction

Javad Birjandtalab, Vipul Nataraj Jarmale, Mehrdad Nourani, Jay Harvey

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

Abstract

The main contribution of this paper is a personalization method which systematically selects the algorithm's parameters based on patient's individual data. The conventional seizure prediction techniques use a fixed set of parameters (like window size and time-to-seizure of preictal data). In this work, we report how personalizing the preictal data parameters improves the quality of seizure prediction. Experimental results show that using a personalized small set of parameters increase the F-measure accuracy of seizure prediction.

Original languageEnglish (US)
Title of host publication2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728108483
DOIs
StatePublished - May 2019
Event2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Chicago, United States
Duration: May 19 2019May 22 2019

Publication series

Name2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings

Conference

Conference2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019
CountryUnited States
CityChicago
Period5/19/195/22/19

Keywords

  • EEG
  • Epileptic Seizure
  • Parameter Assessment
  • Personalization
  • Seizure Prediction

ASJC Scopus subject areas

  • Artificial Intelligence
  • Signal Processing
  • Information Systems and Management
  • Biomedical Engineering
  • Health Informatics
  • Radiology Nuclear Medicine and imaging

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  • Cite this

    Birjandtalab, J., Jarmale, V. N., Nourani, M., & Harvey, J. (2019). Impact of personalization on epileptic seizure prediction. In 2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings [8834648] (2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BHI.2019.8834648