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 |
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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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