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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.

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机构: [1]Department of Clinical Neurophysiology, Danish Epilepsy Centre and Aarhus University Hospital, Dianalund, Denmark [2]Department of Clinical Medicine, Aarhus University, Aarhus C, Denmark [3]Department of Clinical Neurosciences and Clinical Research Unit, Cumming School of Medicine, University of Calgary, Calgary, Canada [4]Department of Clinical Neurophysiology, Aarhus University Hospital, Aarhus C, Denmark [5]Department of Neurology, Mayo Clinic, Jacksonville, Florida, USA [6]Brno Epilepsy Center, Department of Neurology, St. Anne's University Hospital and Medical Faculty of Masaryk University, Brno, Czech Republic [7]Behavioral and Social Neuroscience Research Group, Central European Institute of Technology, Masaryk University, Brno, Czech Republic [8]Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China [9]Department of Neurology, Barrow Neurological Institute, Phoenix, AZ, USA [10]Department of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, Universite de Lausanne, Lausanne, Switzerland
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关键词: algorithms automated detection epilepsy seizure detection wearable devices

摘要:
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. Copyright © 2021 International Federation of Clinical Neurophysiology, Inc., International League Against Epilepsia. Published by Elsevier B.V. All rights reserved.

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出版当年[2020]版:
大类 | 3 区 医学
小类 | 3 区 临床神经病学 3 区 神经科学
最新[2023]版:
大类 | 3 区 医学
小类 | 3 区 临床神经病学 3 区 神经科学
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出版当年[2019]版:
Q2 NEUROSCIENCES Q2 CLINICAL NEUROLOGY
最新[2023]版:
Q1 CLINICAL NEUROLOGY Q2 NEUROSCIENCES

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第一作者:
第一作者机构: [1]Department of Clinical Neurophysiology, Danish Epilepsy Centre and Aarhus University Hospital, Dianalund, Denmark [2]Department of Clinical Medicine, Aarhus University, Aarhus C, Denmark [*1]Department of Clinical Neurophysiology, Danish Epilepsy Centre and Aarhus University Hospital, Visby Alle 5, 4293 Dianalund, Denmark.
通讯作者:
通讯机构: [*1]Department of Clinical Neurophysiology, Danish Epilepsy Centre and Aarhus University Hospital, Visby Alle 5, 4293 Dianalund, Denmark.
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