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

J 2021

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

BENICKY, Sandor, Samuel WIEBE, Jesper JEPPESEN, William O. TATUM, Milan BRÁZDIL et. al.

Basic information

Original name

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

Authors

BENICKY, Sandor (guarantor), Samuel WIEBE, Jesper JEPPESEN, William O. TATUM, Milan BRÁZDIL (203 Czech Republic, belonging to the institution), Yuping WANG, Susan T. HERMAN and Philippe RYVLIN

Edition

Clinical Neurophysiology, Clare, Elsevier Ireland, 2021, 1388-2457

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

30210 Clinical neurology

Country of publisher

Ireland

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

URL

Impact factor

Impact factor: 4.861

RIV identification code

RIV/00216224:14110/21:00122751

Organization unit

Faculty of Medicine

DOI

http://dx.doi.org/10.1016/j.clinph.2020.12.009

UT WoS

000646996100021

Keywords in English

Algorithms; Automated detection; Epilepsy; Seizure detection; Wearable devices

Abstract

V originále

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 and the International Federation of Clinical Neurophysiology 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 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 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. (c) 2020 International Federation of Clinical Neurophysiology, Inc. and International League Against Epilepsia. Published by Elsevier B.V. All rights reserved.

Citovat

BENICKY, Sandor, Samuel WIEBE, Jesper JEPPESEN, William O. TATUM, Milan BRÁZDIL, Yuping WANG, Susan T. HERMAN and Philippe RYVLIN. Automated seizure detection using wearable devices: A clinical practice guideline of the International League Against Epilepsy and the International Federation of Clinical Neurophysiology. Clinical Neurophysiology. Clare: Elsevier Ireland, 2021, vol. 132, No 5, p. 1173-1184. ISSN 1388-2457. Available from: https://dx.doi.org/10.1016/j.clinph.2020.12.009.

@article{1801299,
   author = {Benicky, Sandor and Wiebe, Samuel and Jeppesen, Jesper and Tatum, William O. and Brázdil, Milan and Wang, Yuping and Herman, Susan T. and Ryvlin, Philippe},
   article_location = {Clare},
   article_number = {5},
   doi = {http://dx.doi.org/10.1016/j.clinph.2020.12.009},
   keywords = {Algorithms; Automated detection; Epilepsy; Seizure detection; Wearable devices},
   language = {eng},
   issn = {1388-2457},
   journal = {Clinical Neurophysiology},
   title = {Automated seizure detection using wearable devices: A clinical practice guideline of the International League Against Epilepsy and the International Federation of Clinical Neurophysiology},
   url = {https://www.sciencedirect.com/science/article/pii/S1388245720306143},
   volume = {132},
   year = {2021}
}

TY  - JOUR
ID  - 1801299
AU  - Benicky, Sandor - Wiebe, Samuel - Jeppesen, Jesper - Tatum, William O. - Brázdil, Milan - Wang, Yuping - Herman, Susan T. - Ryvlin, Philippe
PY  - 2021
TI  - Automated seizure detection using wearable devices: A clinical practice guideline of the International League Against Epilepsy and the International Federation of Clinical Neurophysiology
JF  - Clinical Neurophysiology
VL  - 132
IS  - 5
SP  - 1173-1184
EP  - 1173-1184
PB  - Elsevier Ireland
SN  - 13882457
KW  - Algorithms
KW  - Automated detection
KW  - Epilepsy
KW  - Seizure detection
KW  - Wearable devices
UR  - https://www.sciencedirect.com/science/article/pii/S1388245720306143
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 and the International Federation of Clinical Neurophysiology 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 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 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. (c) 2020 International Federation of Clinical Neurophysiology, Inc. and International League Against Epilepsia. Published by Elsevier B.V. All rights reserved.
ER  -

BENICKY, Sandor, Samuel WIEBE, Jesper JEPPESEN, William O. TATUM, Milan BRÁZDIL, Yuping WANG, Susan T. HERMAN and Philippe RYVLIN. Automated seizure detection using wearable devices: A clinical practice guideline of the International League Against Epilepsy and the International Federation of Clinical Neurophysiology. \textit{Clinical Neurophysiology}. Clare: Elsevier Ireland, 2021, vol.~132, No~5, p.~1173-1184. ISSN~1388-2457. Available from: https://dx.doi.org/10.1016/j.clinph.2020.12.009.

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