Epileptic seizure detection and experimental treatment: a review

Kim, Taeho, Nguyen, Phuc, Pham, Nhat, Bui, Nam, Truong, Hoang, Ha, Sangtae and Vu, Tam 2020. Epileptic seizure detection and experimental treatment: a review. Frontiers in Neurology 11 , 701. 10.3389/fneur.2020.00701

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Abstract

One-fourths of the patients have medication-resistant seizures and require seizure detection and treatment continuously to cope with sudden seizures. Seizures can be detected by monitoring the brain and muscle activities, heart rate, oxygen level, artificial sounds, or visual signatures through EEG, EMG, ECG, motion, or audio/video recording on the human head and body. In this article, we first discuss recent advances in seizure sensing, signal processing, time- or frequency-domain analysis, and classification algorithms to detect and classify seizure stages. Then, we show a strong potential of applying recent advancements in non-invasive brain stimulation technology to treat seizures. In particular, we explain the fundamentals of brain stimulation approaches, including (1) transcranial magnetic stimulation (TMS), (2) transcranial direct current stimulation (tDCS), (3) transcranial focused ultrasound stimulation (tFUS), and how to use them to treat seizures. Through this review, we intend to provide a broad view of both recent seizure diagnoses and treatments. Such knowledge would help fresh and experienced researchers to capture the advancements in sensing, detection, classification, and treatment seizures. Last but not least, we provide potential research directions that would attract seizure researchers/engineers in the field.

Item Type:	Article
Date Type:	Published Online
Status:	Published
Schools:	Computer Science & Informatics
Publisher:	Frontiers Media
ISSN:	1664-2295
Date of First Compliant Deposit:	14 August 2023
Date of Acceptance:	9 July 2020
Last Modified:	01 Sep 2023 01:42
URI:	https://orca.cardiff.ac.uk/id/eprint/161754

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