Automated seizure detection using wearable devices: A clinical practice guideline of the International League Against Epilepsy and the International Federation of Clinical Neurophysiology

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Automated seizure detection using wearable devices : A clinical practice guideline of the International League Against Epilepsy and the International Federation of Clinical Neurophysiology. / Beniczky, Sándor; Wiebe, Samuel; Jeppesen, Jesper; Tatum, William O.; Brazdil, Milan; Wang, Yuping; Herman, Susan T.; Ryvlin, Philippe.

I: Epilepsia, Bind 62, Nr. 3, 03.2021, s. 632-646.

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisTidsskriftartikelForskningpeer review

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Beniczky, Sándor ; Wiebe, Samuel ; Jeppesen, Jesper ; Tatum, William O. ; Brazdil, Milan ; Wang, Yuping ; Herman, Susan T. ; Ryvlin, Philippe. / Automated seizure detection using wearable devices : A clinical practice guideline of the International League Against Epilepsy and the International Federation of Clinical Neurophysiology. I: Epilepsia. 2021 ; Bind 62, Nr. 3. s. 632-646.

Bibtex

@article{eac7c9a58f37428989d47d61761925b7,
title = "Automated seizure detection using wearable devices: A clinical practice guideline of the International League Against Epilepsy and the International Federation of Clinical Neurophysiology",
abstract = "The objective of this clinical practice guideline (CPG) is to provide recommendations for healthcare personnel working with patients with epilepsy on the use of wearable devices for automated seizure detection in patients with epilepsy, in outpatient, ambulatory settings. The Working Group of the International League Against Epilepsy (ILAE) and the International Federation of Clinical Neurophysiology (IFCN) developed the CPG according to the methodology proposed by the ILAE Epilepsy Guidelines Working Group. We reviewed the published evidence using The Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) statement and evaluated the evidence and formulated the recommendations following the Grading of Recommendations Assessment, Development and Evaluation (GRADE) system. We found high level of evidence for the accuracy of automated detection of generalized tonic-clonic seizures (GTCS) and focal-to-bilateral tonic-clonic seizures (FBTCS) and recommend the use of wearable automated seizure detection devices for selected patients when accurate detection of GTCS and FBTCS is recommended as a clinical adjunct. We also found a moderate level of evidence for seizure types without GTCS or FBTCS. However, it was uncertain whether the detected alarms resulted in meaningful clinical outcomes for the patients. We recommend using clinically validated devices for automated detection of GTCS and FBTCS, especially in unsupervised patients, where alarms can result in rapid intervention (weak/conditional recommendation). At present, we do not recommend clinical use of the currently available devices for other seizure types (weak/conditional recommendation). Further research and development are needed to improve the performance of automated seizure detection and to document their accuracy and clinical utility.",
keywords = "algorithms, automated detection, epilepsy, seizure detection, wearable devices",
author = "S{\'a}ndor Beniczky and Samuel Wiebe and Jesper Jeppesen and Tatum, {William O.} and Milan Brazdil and Yuping Wang and Herman, {Susan T.} and Philippe Ryvlin",
note = "Publisher Copyright: {\textcopyright} 2021 International League Against Epilepsy This article is published simultaneously in the journals Epilepsia and Clinical Neurophysiology.",
year = "2021",
month = mar,
doi = "10.1111/epi.16818",
language = "English",
volume = "62",
pages = "632--646",
journal = "Epilepsia",
issn = "0013-9580",
publisher = "Wiley-Blackwell Publishing, Inc.",
number = "3",

}

RIS

TY - JOUR

T1 - Automated seizure detection using wearable devices

T2 - A clinical practice guideline of the International League Against Epilepsy and the International Federation of Clinical Neurophysiology

AU - Beniczky, Sándor

AU - Wiebe, Samuel

AU - Jeppesen, Jesper

AU - Tatum, William O.

AU - Brazdil, Milan

AU - Wang, Yuping

AU - Herman, Susan T.

AU - Ryvlin, Philippe

N1 - Publisher Copyright: © 2021 International League Against Epilepsy This article is published simultaneously in the journals Epilepsia and Clinical Neurophysiology.

PY - 2021/3

Y1 - 2021/3

N2 - The objective of this clinical practice guideline (CPG) is to provide recommendations for healthcare personnel working with patients with epilepsy on the use of wearable devices for automated seizure detection in patients with epilepsy, in outpatient, ambulatory settings. The Working Group of the International League Against Epilepsy (ILAE) and the International Federation of Clinical Neurophysiology (IFCN) developed the CPG according to the methodology proposed by the ILAE Epilepsy Guidelines Working Group. We reviewed the published evidence using The Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) statement and evaluated the evidence and formulated the recommendations following the Grading of Recommendations Assessment, Development and Evaluation (GRADE) system. We found high level of evidence for the accuracy of automated detection of generalized tonic-clonic seizures (GTCS) and focal-to-bilateral tonic-clonic seizures (FBTCS) and recommend the use of wearable automated seizure detection devices for selected patients when accurate detection of GTCS and FBTCS is recommended as a clinical adjunct. We also found a moderate level of evidence for seizure types without GTCS or FBTCS. However, it was uncertain whether the detected alarms resulted in meaningful clinical outcomes for the patients. We recommend using clinically validated devices for automated detection of GTCS and FBTCS, especially in unsupervised patients, where alarms can result in rapid intervention (weak/conditional recommendation). At present, we do not recommend clinical use of the currently available devices for other seizure types (weak/conditional recommendation). Further research and development are needed to improve the performance of automated seizure detection and to document their accuracy and clinical utility.

AB - The objective of this clinical practice guideline (CPG) is to provide recommendations for healthcare personnel working with patients with epilepsy on the use of wearable devices for automated seizure detection in patients with epilepsy, in outpatient, ambulatory settings. The Working Group of the International League Against Epilepsy (ILAE) and the International Federation of Clinical Neurophysiology (IFCN) developed the CPG according to the methodology proposed by the ILAE Epilepsy Guidelines Working Group. We reviewed the published evidence using The Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) statement and evaluated the evidence and formulated the recommendations following the Grading of Recommendations Assessment, Development and Evaluation (GRADE) system. We found high level of evidence for the accuracy of automated detection of generalized tonic-clonic seizures (GTCS) and focal-to-bilateral tonic-clonic seizures (FBTCS) and recommend the use of wearable automated seizure detection devices for selected patients when accurate detection of GTCS and FBTCS is recommended as a clinical adjunct. We also found a moderate level of evidence for seizure types without GTCS or FBTCS. However, it was uncertain whether the detected alarms resulted in meaningful clinical outcomes for the patients. We recommend using clinically validated devices for automated detection of GTCS and FBTCS, especially in unsupervised patients, where alarms can result in rapid intervention (weak/conditional recommendation). At present, we do not recommend clinical use of the currently available devices for other seizure types (weak/conditional recommendation). Further research and development are needed to improve the performance of automated seizure detection and to document their accuracy and clinical utility.

KW - algorithms

KW - automated detection

KW - epilepsy

KW - seizure detection

KW - wearable devices

UR - http://www.scopus.com/inward/record.url?scp=85102052193&partnerID=8YFLogxK

U2 - 10.1111/epi.16818

DO - 10.1111/epi.16818

M3 - Journal article

C2 - 33666944

AN - SCOPUS:85102052193

VL - 62

SP - 632

EP - 646

JO - Epilepsia

JF - Epilepsia

SN - 0013-9580

IS - 3

ER -