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Epileptic Seizure Detection and Experimental Treatment: A Review
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,...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7396638/ https://www.ncbi.nlm.nih.gov/pubmed/32849189 http://dx.doi.org/10.3389/fneur.2020.00701 |
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author | Kim, Taeho Nguyen, Phuc Pham, Nhat Bui, Nam Truong, Hoang Ha, Sangtae Vu, Tam |
author_facet | Kim, Taeho Nguyen, Phuc Pham, Nhat Bui, Nam Truong, Hoang Ha, Sangtae Vu, Tam |
author_sort | Kim, Taeho |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7396638 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-73966382020-08-25 Epileptic Seizure Detection and Experimental Treatment: A Review Kim, Taeho Nguyen, Phuc Pham, Nhat Bui, Nam Truong, Hoang Ha, Sangtae Vu, Tam Front Neurol Neurology 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. Frontiers Media S.A. 2020-07-21 /pmc/articles/PMC7396638/ /pubmed/32849189 http://dx.doi.org/10.3389/fneur.2020.00701 Text en Copyright © 2020 Kim, Nguyen, Pham, Bui, Truong, Ha and Vu. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neurology Kim, Taeho Nguyen, Phuc Pham, Nhat Bui, Nam Truong, Hoang Ha, Sangtae Vu, Tam Epileptic Seizure Detection and Experimental Treatment: A Review |
title | Epileptic Seizure Detection and Experimental Treatment: A Review |
title_full | Epileptic Seizure Detection and Experimental Treatment: A Review |
title_fullStr | Epileptic Seizure Detection and Experimental Treatment: A Review |
title_full_unstemmed | Epileptic Seizure Detection and Experimental Treatment: A Review |
title_short | Epileptic Seizure Detection and Experimental Treatment: A Review |
title_sort | epileptic seizure detection and experimental treatment: a review |
topic | Neurology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7396638/ https://www.ncbi.nlm.nih.gov/pubmed/32849189 http://dx.doi.org/10.3389/fneur.2020.00701 |
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