Epileptic Seizure Prediction Using Big Data and Deep Learning: Toward a Mobile System.

Journal: EBioMedicine
Published Date: Dec 12, 2017

Abstract

BACKGROUND: Seizure prediction can increase independence and allow preventative treatment for patients with epilepsy. We present a proof-of-concept for a seizure prediction system that is accurate, fully automated, patient-specific, and tunable to an individual's needs.

Authors

  • Isabell Kiral-Kornek
    IBM Research - Australia, 204 Lygon Street, 3053 Carlton, VIC, Australia.
  • Subhrajit Roy
    IBM Research - Australia, 204 Lygon Street, 3053 Carlton, VIC, Australia.
  • Ewan Nurse
    IBM Research - Australia, 204 Lygon Street, 3053 Carlton, VIC, Australia; The University of Melbourne, 3010 Parkville, VIC, Australia.
  • Benjamin Mashford
    IBM Research - Australia, 204 Lygon Street, 3053 Carlton, VIC, Australia.
  • Philippa Karoly
    IBM Research - Australia, 204 Lygon Street, 3053 Carlton, VIC, Australia; The University of Melbourne, 3010 Parkville, VIC, Australia.
  • Thomas Carroll
    IBM Research - Australia, 204 Lygon Street, 3053 Carlton, VIC, Australia; The University of Melbourne, 3010 Parkville, VIC, Australia.
  • Daniel Payne
    IBM Research - Australia, 204 Lygon Street, 3053 Carlton, VIC, Australia; The University of Melbourne, 3010 Parkville, VIC, Australia.
  • Susmita Saha
    IBM Research - Australia, 204 Lygon Street, 3053 Carlton, VIC, Australia.
  • Steven Baldassano
    The University of Melbourne, 3010 Parkville, VIC, Australia.
  • Terence O'Brien
    The University of Melbourne, 3010 Parkville, VIC, Australia.
  • David Grayden
    Department of Biomedical Engineering, The University of Melbourne, 3010 Parkville, VIC, Australia.
  • Mark Cook
    The University of Melbourne, 3010 Parkville, VIC, Australia.
  • Dean Freestone
    The University of Melbourne, 3010 Parkville, VIC, Australia. Electronic address: deanrf@unimelb.edu.au.
  • Stefan Harrer
    IBM Research - Australia, 204 Lygon Street, 3053 Carlton, VIC, Australia. Electronic address: sharrer@au.ibm.com.

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