Epileptic Seizure Detection and Prediction Based on Continuous Cerebral Blood Flow Monitoring – a Review

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

doi:https://doi.org/10.1260/2040-2295.6.2.159

Journal of Healthcare Engineering

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Research Article | Open Access

Volume 6 | Article ID 749129 | https://doi.org/10.1260/2040-2295.6.2.159

Epileptic Seizure Detection and Prediction Based on Continuous Cerebral Blood Flow Monitoring – a Review

Senay Tewolde,¹Kalarickal Oommen,²Donald Y. C. Lie,³Yuanlin Zhang,⁴and Ming-Chien Chyu^1,5

Received01 Jan 2015

Accepted01 Apr 2015

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.

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