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

BENICZKY, S., S. WIEBE, J. JEPPESEN, W.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

BENICZKY, S. (garant), S. WIEBE, J. JEPPESEN, W.O. TATUM, Milan BRÁZDIL (203 Česká republika, domácí), Y.P. WANG, S.T. HERMAN a P. RYVLIN

Vydání

Epilepsia, Hoboken, Wiley-Blackwell, 2021, 0013-9580

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

30210 Clinical neurology

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Odkazy

Impakt faktor

Impact factor: 6.740

Kód RIV

RIV/00216224:14110/21:00124311

Organizační jednotka

Lékařská fakulta

UT WoS

000625480200007

Klíčová slova anglicky

algorithms; automated detection; epilepsy; seizure detection; wearable devices

Štítky

Příznaky

Mezinárodní význam, Recenzováno
Změněno: 19. 4. 2022 10:24, Mgr. Pavla Foltynová, Ph.D.

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 (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.