Medical technology: A systematic review on medical devices utilized for epilepsy prediction and management

Jen Sze Ong, Shuet Nee Wong, Alina Arulsamy, Jessica L. Watterson, Mohd. Farooq Shaikh

Research output: Contribution to journalReview ArticleResearchpeer-review

3 Citations (Scopus)

Abstract

Background: Epilepsy is a devastating neurological disorder that affects nearly 70 million people worldwide. Epilepsy causes uncontrollable, unprovoked and unpredictable seizures that reduce the quality of life of those afflicted, with 1-9 epileptic patient deaths per 1000 patients occurring annu-ally due to sudden unexpected death in epilepsy (SUDEP). Predicting the onset of seizures and manag-ing them may help patients from harming themselves and may improve their well-being. For a long time, electroencephalography (EEG) devices have been the mainstay for seizure detection and monitor-ing. This systematic review aimed to elucidate and critically evaluate the latest advancements in medical devices, besides EEG, that have been proposed for the management and prediction of epileptic sei-zures. A literature search was performed on three databases, PubMed, Scopus and EMBASE. Methods: Following title/abstract screening by two independent reviewers, 27 articles were selected for critical analysis in this review. Results: These articles revealed ambulatory, non-invasive and wearable medical devices, such as the in-ear EEG devices; the accelerometer-based devices and the subcutaneous implanted EEG devices might be more acceptable than traditional EEG systems. In addition, extracerebral signal-based devices may be more efficient than EEG-based systems, especially when combined with an intervention trigger. Although further studies may still be required to improve and validate these proposed systems before commercialization, these findings may give hope to epileptic patients, par-ticularly those with refractory epilepsy, to predict and manage their seizures. Conclusion: The use of medical devices for epilepsy may improve patients' independence and quality of life and possibly prevent sudden unexpected death in epilepsy (SUDEP).

Original languageEnglish
Pages (from-to)950-964
Number of pages15
JournalCurrent Neuropharmacology
Volume20
Issue number5
DOIs
Publication statusPublished - May 2022

Keywords

  • Electroencephalography
  • electrophysiology device
  • extracerebral signals
  • seizure prediction
  • SUDEP
  • wearable device

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