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Editorial: Seizure forecasting tools, biomarkers and devices.

作者信息

Nasseri Mona, Grzeskowiak Caitlin, Brinkmann Benjamin H, Dümpelmann Matthias

机构信息

School of Engineering, University of North Florida, Jacksonville, FL, United States.

Neurology Department, Mayo Clinic, Rochester, MN, United States.

出版信息

Front Neurosci. 2024 Aug 28;18:1470640. doi: 10.3389/fnins.2024.1470640. eCollection 2024.

DOI:10.3389/fnins.2024.1470640
PMID:39263238
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11387221/
Abstract
摘要

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Nat Med. 2024 Oct;30(10):2787-2790. doi: 10.1038/s41591-024-03149-6. Epub 2024 Jul 12.
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Sleep and seizure risk in epilepsy: bed and wake times are more important than sleep duration.癫痫患者的睡眠和癫痫发作风险：卧床和起床时间比睡眠时间更重要。
Brain. 2023 Jul 3;146(7):2803-2813. doi: 10.1093/brain/awac476.
3
Data quality evaluation in wearable monitoring.可穿戴监测中的数据质量评估。
Sci Rep. 2022 Dec 10;12(1):21412. doi: 10.1038/s41598-022-25949-x.
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Seizure forecasting using minimally invasive, ultra-long-term subcutaneous EEG: Generalizable cross-patient models.使用微创、超长时间皮下 EEG 进行癫痫发作预测：可推广的跨患者模型。
Epilepsia. 2023 Dec;64 Suppl 4(Suppl 4):S114-S123. doi: 10.1111/epi.17265. Epub 2022 May 4.
5
Seizure forecasting using minimally invasive, ultra-long-term subcutaneous electroencephalography: Individualized intrapatient models.使用微创、超长程皮下脑电图进行癫痫发作预测：个体化的患者内模型。
Epilepsia. 2023 Dec;64 Suppl 4(Suppl 4):S124-S133. doi: 10.1111/epi.17252. Epub 2022 Apr 16.
6
Ambulatory seizure forecasting with a wrist-worn device using long-short term memory deep learning.腕戴设备应用长短时记忆深度学习进行门诊癫痫发作预测。
Sci Rep. 2021 Nov 9;11(1):21935. doi: 10.1038/s41598-021-01449-2.
7
Seizure Forecasting: Patient and Caregiver Perspectives.癫痫发作预测：患者及护理人员的观点。
Front Neurol. 2021 Sep 20;12:717428. doi: 10.3389/fneur.2021.717428. eCollection 2021.
8
Forecasting Seizure Likelihood With Wearable Technology.利用可穿戴技术预测癫痫发作可能性
Front Neurol. 2021 Jul 15;12:704060. doi: 10.3389/fneur.2021.704060. eCollection 2021.
9
Seizure Diaries and Forecasting With Wearables: Epilepsy Monitoring Outside the Clinic.癫痫发作日记与可穿戴设备预测：门诊外的癫痫监测
Front Neurol. 2021 Jul 13;12:690404. doi: 10.3389/fneur.2021.690404. eCollection 2021.
10
Automated seizure detection using wearable devices: A clinical practice guideline of the International League Against Epilepsy and the International Federation of Clinical Neurophysiology.使用可穿戴设备进行自动癫痫发作检测：国际抗癫痫联盟和国际临床神经生理学联合会的临床实践指南。
Clin Neurophysiol. 2021 May;132(5):1173-1184. doi: 10.1016/j.clinph.2020.12.009. Epub 2021 Mar 5.