Seizure detection, seizure prediction, and closed-loop warning systems in epilepsy

Sriram Ramgopal, Sigride Thome-Souza, Michele Jackson, Navah Ester Kadish, Iván Sánchez Fernández, Jacquelyn Klehm, William Bosl, Claus Reinsberger, Steven Schachter, Tobias Loddenkemper*

*Corresponding author for this work

Research output: Contribution to journalReview article

246 Scopus citations

Abstract

Nearly one-third of patients with epilepsy continue to have seizures despite optimal medication management. Systems employed to detect seizures may have the potential to improve outcomes in these patients by allowing more tailored therapies and might, additionally, have a role in accident and SUDEP prevention. Automated seizure detection and prediction require algorithms which employ feature computation and subsequent classification. Over the last few decades, methods have been developed to detect seizures utilizing scalp and intracranial EEG, electrocardiography, accelerometry and motion sensors, electrodermal activity, and audio/video captures. To date, it is unclear which combination of detection technologies yields the best results, and approaches may ultimately need to be individualized. This review presents an overview of seizure detection and related prediction methods and discusses their potential uses in closed-loop warning systems in epilepsy.

Original languageEnglish (US)
Pages (from-to)291-307
Number of pages17
JournalEpilepsy and Behavior
Volume37
DOIs
StatePublished - Aug 2014

Keywords

  • Accelerometry
  • Artificial neural network
  • Automated seizure detection
  • Closed-loop methods
  • ECG-based seizure detection
  • EEG-based seizure detection
  • Fourier
  • Higher-order spectra
  • Markov modeling
  • Support vector machine

ASJC Scopus subject areas

  • Neurology
  • Clinical Neurology
  • Behavioral Neuroscience

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  • Cite this

    Ramgopal, S., Thome-Souza, S., Jackson, M., Kadish, N. E., Sánchez Fernández, I., Klehm, J., Bosl, W., Reinsberger, C., Schachter, S., & Loddenkemper, T. (2014). Seizure detection, seizure prediction, and closed-loop warning systems in epilepsy. Epilepsy and Behavior, 37, 291-307. https://doi.org/10.1016/j.yebeh.2014.06.023