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Forecasting epileptic seizures with wearable devices: A hybrid short- and long-horizon pseudo-prospective approach.利用可穿戴设备预测癫痫发作:一种混合的短期和长期伪前瞻性方法。
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A Comparative Study on the Suitability and Treatment Compliance of an Improved Wristband Wearing Method Compared with the Traditional Method.一种改良腕带佩戴方法与传统方法的适宜性和治疗依从性比较研究。
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本文引用的文献

1
Machine learning from wristband sensor data for wearable, noninvasive seizure forecasting.基于腕带传感器数据的机器学习实现可穿戴、无创性癫痫预测。
Epilepsia. 2020 Dec;61(12):2653-2666. doi: 10.1111/epi.16719. Epub 2020 Oct 11.
2
Post-ictal accelerometer silence as a marker of post-ictal immobility.发作后加速度计沉默作为发作后不动的标志物。
Epilepsia. 2020 Jul;61(7):1397-1405. doi: 10.1111/epi.16552. Epub 2020 May 27.
3
Seizure detection at home: Do devices on the market match the needs of people living with epilepsy and their caregivers?居家癫痫发作检测:市面上的设备是否符合癫痫患者及其照护者的需求?
Epilepsia. 2020 Nov;61 Suppl 1:S11-S24. doi: 10.1111/epi.16521. Epub 2020 May 9.
4
Ultra-long-term subcutaneous home monitoring of epilepsy-490 days of EEG from nine patients.超长程皮下癫痫监测——9 例患者 490 天的脑电图记录。
Epilepsia. 2019 Nov;60(11):2204-2214. doi: 10.1111/epi.16360. Epub 2019 Oct 13.
5
Multimodal wrist-worn devices for seizure detection and advancing research: Focus on the Empatica wristbands.用于癫痫检测和推进研究的多模态腕戴式设备:聚焦于Empatica腕带。
Epilepsy Res. 2019 Jul;153:79-82. doi: 10.1016/j.eplepsyres.2019.02.007. Epub 2019 Feb 27.
6
Strategies for non-EEG seizure detection and timing for alerting and interventions with tonic-clonic seizures.强直-阵挛性发作的非 EEG 发作检测和预警及干预时机策略。
Epilepsia. 2018 Jun;59 Suppl 1:36-41. doi: 10.1111/epi.14046.
7
User-based evaluation of applicability and usability of a wearable accelerometer device for detecting bilateral tonic-clonic seizures: A field study.基于用户的可穿戴加速度计设备检测双侧强直阵挛性癫痫适用性和可用性的评估:一项现场研究。
Epilepsia. 2018 Jun;59 Suppl 1:48-52. doi: 10.1111/epi.14051.
8
Diagnostic challenges in epilepsy: seizure under-reporting and seizure detection.癫痫的诊断挑战:漏报发作和发作检测。
Lancet Neurol. 2018 Mar;17(3):279-288. doi: 10.1016/S1474-4422(18)30038-3.
9
Subjective seizure counts by epilepsy clinical drug trial participants are not reliable.癫痫临床药物试验参与者的主观发作计数不可靠。
Epilepsy Behav. 2017 Feb;67:122-127. doi: 10.1016/j.yebeh.2016.10.036. Epub 2017 Jan 28.
10
Prediction of seizure likelihood with a long-term, implanted seizure advisory system in patients with drug-resistant epilepsy: a first-in-man study.耐药性癫痫患者的长期植入式癫痫预警系统预测癫痫发作的可能性:首例人体研究。
Lancet Neurol. 2013 Jun;12(6):563-71. doi: 10.1016/S1474-4422(13)70075-9. Epub 2013 May 2.

Forecasting Seizure Storms Using Epilepsy Wristband Sensors.

作者信息

Vossler David G

出版信息

Epilepsy Curr. 2021 Jan 29;21(2):99-101. doi: 10.1177/1535759721990062. eCollection 2021 Mar-Apr.

DOI:10.1177/1535759721990062
PMID:34025285
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8010866/
Abstract
摘要