Epileptic seizure detection and prediction based on continuous cerebral blood flow monitoring - A review

Senay Tewolde, Kalarickal Oommen, Donald Y.C. Lie, Yuanlin Zhang, Ming Chien Chyu

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

Epilepsy is the third most common neurological illness, affecting 1% of the world's population. Despite advances in medicine, about 25 to 30% of the patients do not respond to or cannot tolerate the severe side effects of medical treatment, and surgery is not an option for the majority of patients with epilepsy. The objective of this article is to review the current state of research on seizure detection based on cerebral blood flow (CBF) data acquired by thermal diffusion flowmetry (TDF), and CBF-based seizure prediction. A discussion is provided on the applications, advantages, and disadvantages of TDF in detecting and localizing seizure foci, as well as its role in seizure prediction. Also presented are an overview of the present challenges and possible future research directions (along with methodological guidelines) of the CBF-based seizure detection and prediction methods.

Original languageEnglish
Pages (from-to)159-178
Number of pages20
JournalJournal of Healthcare Engineering
Volume6
Issue number2
DOIs
StatePublished - Jun 2015

Keywords

  • Cerebral perfusion
  • Epilepsy
  • Flowmetry
  • Localization of seizure focus

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