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用于癫痫性猝死生物标志物发现的多模态数据收集与分析

Collection and Analysis of Multimodal Data for SUDEP Biomarker Discovery.

作者信息

Threeanaew Wanchat, MacDonald James, Sinha Amit, Kaffashi Farhad, Lhatoo Samden D, Loparo Kenneth A

机构信息

Department of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, OH 44106, USA.

Institute for Smart, Secure and Connected Systems, Case Western Reserve University, Cleveland, OH 44106, USA.

出版信息

IEEE Sens Lett. 2019 Jan;3(1). doi: 10.1109/LSENS.2018.2880594. Epub 2018 Nov 9.

DOI:10.1109/LSENS.2018.2880594
PMID:31673673
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6822612/
Abstract

This paper discusses the acquisition and processing of multimodal physiological data from patients with epilepsy in Epilepsy Monitoring Units for the discovery of risk factors for Sudden Expected Death in Epilepsy (SUDEP) that can be combined through integrative analysis for biomarker discovery.

摘要

本文讨论了在癫痫监测单元中从癫痫患者获取和处理多模态生理数据，以发现癫痫性猝死（SUDEP）的风险因素，这些因素可通过综合分析进行组合以发现生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19cf/6822612/a110d1f63f0d/nihms-1519532-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19cf/6822612/e9933569734b/nihms-1519532-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19cf/6822612/9dee4a83dabb/nihms-1519532-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19cf/6822612/a110d1f63f0d/nihms-1519532-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19cf/6822612/e9933569734b/nihms-1519532-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19cf/6822612/9dee4a83dabb/nihms-1519532-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19cf/6822612/a110d1f63f0d/nihms-1519532-f0003.jpg

相似文献

1
Collection and Analysis of Multimodal Data for SUDEP Biomarker Discovery.用于癫痫性猝死生物标志物发现的多模态数据收集与分析
IEEE Sens Lett. 2019 Jan;3(1). doi: 10.1109/LSENS.2018.2880594. Epub 2018 Nov 9.
2
Heart rate variability in epilepsy: A potential biomarker of sudden unexpected death in epilepsy risk.癫痫患者的心率变异性：癫痫猝死风险的潜在生物标志物。
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3
Population-based study of the incidence of sudden unexplained death in epilepsy.基于人群的癫痫不明原因猝死发生率研究。
Neurology. 1998 Nov;51(5):1270-4. doi: 10.1212/wnl.51.5.1270.
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Incidence and mechanisms of cardiorespiratory arrests in epilepsy monitoring units (MORTEMUS): a retrospective study.癫痫监测单元中心跳呼吸骤停的发生率和机制（MORTEMUS）：一项回顾性研究。
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A systematic review of sudden unexpected death in epilepsy (SUDEP) in childhood.儿童癫痫性猝死（SUDEP）的系统评价。
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A resting-state functional connectivity study in patients at high risk for sudden unexpected death in epilepsy.一项针对癫痫猝死高危患者的静息态功能连接性研究。
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Prevention of sudden unexpected death in epilepsy: a realistic goal?癫痫患者猝死的预防：现实目标？
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本文引用的文献

1
Automated Detection of Postictal Generalized EEG Suppression.发作后全面性 EEG 抑制的自动检测。
IEEE Trans Biomed Eng. 2018 Feb;65(2):371-377. doi: 10.1109/TBME.2017.2771468.
2
Classification of EEG Signals Based on Pattern Recognition Approach.基于模式识别方法的脑电图信号分类
Front Comput Neurosci. 2017 Nov 21;11:103. doi: 10.3389/fncom.2017.00103. eCollection 2017.
3
Review: The past, present and future challenges in epilepsy-related and sudden deaths and biobanking.综述：癫痫相关和猝死的过去、现在和未来挑战以及生物库。
Neuropathol Appl Neurobiol. 2018 Feb;44(1):32-55. doi: 10.1111/nan.12453.
4
Association of sleep with sudden unexpected death in epilepsy.睡眠与癫痫性意外猝死的关联。
Epilepsy Behav. 2017 Nov;76:1-6. doi: 10.1016/j.yebeh.2017.08.021. Epub 2017 Sep 13.
5
Nocturnal seizures are associated with more severe hypoxemia and increased risk of postictal generalized EEG suppression.夜间发作与更严重的低氧血症及发作后脑电图全面抑制风险增加有关。
Epilepsia. 2017 Sep;58(9):e127-e131. doi: 10.1111/epi.13841. Epub 2017 Jul 17.
6
Sudden unexpected death in epilepsy: epidemiology, mechanisms, and prevention.癫痫患者的突发性意外死亡：流行病学、机制与预防。
Lancet Neurol. 2016 Sep;15(10):1075-88. doi: 10.1016/S1474-4422(16)30158-2. Epub 2016 Aug 8.
7
Mechanisms of sudden unexpected death in epilepsy: the pathway to prevention.癫痫性猝死的机制：预防途径
Nat Rev Neurol. 2014 May;10(5):271-82. doi: 10.1038/nrneurol.2014.64. Epub 2014 Apr 22.
8
Significant postictal hypotension: expanding the spectrum of seizure-induced autonomic dysregulation.显著的癫痫后低血压：扩大癫痫引起的自主神经调节紊乱的范围。
Epilepsia. 2013 Sep;54(9):e127-30. doi: 10.1111/epi.12251. Epub 2013 Jun 12.
9
The use of heart rate variability for the early detection of treatable complications after aneurysmal subarachnoid hemorrhage.心率变异性在动脉瘤性蛛网膜下腔出血后可治疗并发症的早期检测中的应用。
J Clin Monit Comput. 2013 Aug;27(4):385-93. doi: 10.1007/s10877-013-9467-0. Epub 2013 Apr 25.
10
Interrater reliability: the kappa statistic.组内一致性：kappa 统计量。
Biochem Med (Zagreb). 2012;22(3):276-82.