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.

Základní údaje

Originální název

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

Autoři

BENICKY, Sandor (garant), Samuel WIEBE, Jesper JEPPESEN, William O. TATUM, Milan BRÁZDIL (203 Česká republika, domácí), Yuping WANG, Susan T. HERMAN a Philippe RYVLIN

Vydání

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

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

30210 Clinical neurology

Stát vydavatele

Irsko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 4.861

Kód RIV

RIV/00216224:14110/21:00122751

Organizační jednotka

Lékařská fakulta

DOI

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

UT WoS

000646996100021

Klíčová slova anglicky

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

Štítky

14110127, podil, rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 11. 3. 2022 13:40, Mgr. Tereza Miškechová

Anotace

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 a 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, roč. 132, č. 5, s. 1173-1184. ISSN 1388-2457. Dostupné z: 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 a 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, roč.~132, č.~5, s.~1173-1184. ISSN~1388-2457. Dostupné z: https://dx.doi.org/10.1016/j.clinph.2020.12.009.

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