Forecasting epileptic seizures with wearable devices: A hybrid short- and long-horizon pseudo-prospective approach.

Journal: Epilepsia
Published Date: May 24, 2025

Abstract

OBJECTIVE: Seizure unpredictability can be debilitating and dangerous for people with epilepsy. Accurate seizure forecasters could improve quality of life for those with epilepsy but must be practical for long-term use. This study presents the first validation of a seizure-forecasting system using ultra-long-term, non-invasive wearable data.

Authors

  • Mona Nasseri
    Mayo Systems Electrophysiology Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, USA.
  • Rachel E Stirling
    Department of Biomedical Engineering, University of Melbourne, Melbourne, Victoria, Australia.
  • Pedro F Viana
    Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
  • Jie Cui
    Department of Oncology, The First Affiliated Hospital of Xi'an Medical College, Xi'an City 710000, China.
  • Ewan Nurse
    IBM Research - Australia, 204 Lygon Street, 3053 Carlton, VIC, Australia; The University of Melbourne, 3010 Parkville, VIC, Australia.
  • Philippa J Karoly
    NeuroEngineering Laboratory, Department of Electrical & Electronic Engineering, The University of Melbourne, Melbourne, VIC, Australia, 3010; Centre for Neural Engineering, The University of Melbourne, Melbourne, VIC, Australia, 3010; Department of Medicine St. Vincent's Hospital Melbourne, The University of Melbourne, Fitzroy, VIC, Australia, 3065.
  • Vaclav Kremen
    Mayo Systems Electrophysiology Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, USA.
  • Matthias Dumpelmann
  • Gregory A Worrell
    Mayo Systems Electrophysiology Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, USA.
  • Dean R Freestone
    NeuroEngineering Laboratory, Department of Electrical & Electronic Engineering, The University of Melbourne, Melbourne, VIC, Australia, 3010; Centre for Neural Engineering, The University of Melbourne, Melbourne, VIC, Australia, 3010; Department of Medicine St. Vincent's Hospital Melbourne, The University of Melbourne, Fitzroy, VIC, Australia, 3065; Department of Statistics, Columbia University, New York, New York, USA, 10027.
  • Mark P Richardson
    Department of Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
  • Benjamin H Brinkmann
    Mayo Systems Electrophysiology Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, USA.

Keywords

No keywords available for this article.

External Resources

Popular Topics
Recent Journals