American Clinical Neurophysiology Society's Standardized Critical Care EEG Terminology: 2021 Version.
作者信息
Hirsch Lawrence J, Fong Michael W K, Leitinger Markus, LaRoche Suzette M, Beniczky Sandor, Abend Nicholas S, Lee Jong Woo, Wusthoff Courtney J, Hahn Cecil D, Westover M Brandon, Gerard Elizabeth E, Herman Susan T, Haider Hiba Arif, Osman Gamaleldin, Rodriguez-Ruiz Andres, Maciel Carolina B, Gilmore Emily J, Fernandez Andres, Rosenthal Eric S, Claassen Jan, Husain Aatif M, Yoo Ji Yeoun, So Elson L, Kaplan Peter W, Nuwer Marc R, van Putten Michel, Sutter Raoul, Drislane Frank W, Trinka Eugen, Gaspard Nicolas
机构信息
Comprehensive Epilepsy Center, Department of Neurology, Yale University School of Medicine, New Haven, Connecticut, U.S.A.
Westmead Comprehensive Epilepsy Unit, Westmead Hospital, University of Sydney, Sydney, Australia.
出版信息
J Clin Neurophysiol. 2021 Jan 1;38(1):1-29. doi: 10.1097/WNP.0000000000000806.
Abstract
摘要
相似文献
1
American Clinical Neurophysiology Society's Standardized Critical Care EEG Terminology: 2021 Version.美国临床神经生理学会标准化重症监护脑电图术语：2021版
J Clin Neurophysiol. 2021 Jan 1;38(1):1-29. doi: 10.1097/WNP.0000000000000806.
2
American Clinical Neurophysiology Society's Standardized Critical Care EEG Terminology: 2012 version.美国临床神经生理学会标准化重症监护脑电图术语：2012版
J Clin Neurophysiol. 2013 Feb;30(1):1-27. doi: 10.1097/WNP.0b013e3182784729.
3
[Utility of EEG in neurological emergencies and critical care].脑电图在神经系统急症和重症监护中的应用
Rinsho Shinkeigaku. 2024 Oct 29;64(10):699-707. doi: 10.5692/clinicalneurol.cn-001928. Epub 2024 Oct 26.
4
Interrater Agreement of EEG Interpretation After Pediatric Cardiac Arrest Using Standardized Critical Care EEG Terminology.使用标准化重症监护脑电图术语对小儿心脏骤停后脑电图解读的评分者间一致性
J Clin Neurophysiol. 2017 Nov;34(6):534-541. doi: 10.1097/WNP.0000000000000424.
5
Lateralized Periodic Discharges Detected and Described via Intraoperative Neuromonitoring.经术中神经监测检测和描述的偏侧性周期性放电。
Neurodiagn J. 2022 Jun;62(2):81-86. doi: 10.1080/21646821.2022.2060012.
6
Critical care EEG monitoring: improving access and unravelling potentially epileptic patterns.危重病患者的脑电图监测：改善获取途径和揭示潜在的癫痫模式。
Curr Opin Neurol. 2023 Apr 1;36(2):61-68. doi: 10.1097/WCO.0000000000001147. Epub 2023 Feb 9.
7
American clinical neurophysiology society standardized EEG terminology and categorization for the description of continuous EEG monitoring in neonates: report of the American Clinical Neurophysiology Society critical care monitoring committee.美国临床神经生理学会新生儿连续脑电图监测描述的标准化脑电图术语和分类：美国临床神经生理学会重症监护监测委员会报告
J Clin Neurophysiol. 2013 Apr;30(2):161-73. doi: 10.1097/WNP.0b013e3182872b24.
8
[Electroencephalographic features of nonconvulsive status epilepticus].[非惊厥性癫痫持续状态的脑电图特征]
Brain Nerve. 2015 May;67(5):575-83. doi: 10.11477/mf.1416200183.
9
Automatic detection of rhythmic and periodic patterns in critical care EEG based on American Clinical Neurophysiology Society (ACNS) standardized terminology.基于美国临床神经生理学会（ACNS）标准化术语的重症监护脑电图节律性和周期性模式的自动检测。
Neurophysiol Clin. 2015 Sep;45(3):203-13. doi: 10.1016/j.neucli.2015.08.001. Epub 2015 Sep 9.
10
Salzburg Consensus Criteria for Non-Convulsive Status Epilepticus--approach to clinical application.非惊厥性癫痫持续状态的萨尔茨堡共识标准——临床应用方法
Epilepsy Behav. 2015 Aug;49:158-63. doi: 10.1016/j.yebeh.2015.05.007. Epub 2015 Jun 17.
引用本文的文献
1
Electroencephalographic and clinical predictors of favorable neurologic outcomes in pediatric cardiac arrest survivors.小儿心脏骤停幸存者良好神经功能预后的脑电图和临床预测因素
Sci Rep. 2025 Aug 27;15(1):31606. doi: 10.1038/s41598-025-15152-z.
2
E-Learning for Pediatric Emergency Department Staff in Point-of-Care Electroencephalogram Interpretation: Prospective Cohort Study.针对儿科急诊科工作人员的即时护理脑电图解读电子学习：前瞻性队列研究。
JMIR Med Educ. 2025 Aug 20;11:e69395. doi: 10.2196/69395.
3
COMPRESSIVE DATA STORAGE FOR LONG-TERM EEG: VALIDATION BY VISUAL ANALYSIS.用于长期脑电图的压缩数据存储：通过视觉分析进行验证
Clin Neurophysiol Pract. 2025 Aug 5;10:331-339. doi: 10.1016/j.cnp.2025.07.005. eCollection 2025.
4
Quantitative Variables Derived from the Electroencephalographic Signal to Assess Depth of Anaesthesia in Animals: A Narrative Review.源自脑电图信号的定量变量用于评估动物麻醉深度：一篇叙述性综述。
Animals (Basel). 2025 Aug 5;15(15):2285. doi: 10.3390/ani15152285.
5
Two-year longitudinal and prospective electroencephalographic follow-up in patients with TBI: can early EEG and CT findings predict post-traumatic epilepsy?创伤性脑损伤患者的两年纵向和前瞻性脑电图随访：早期脑电图和CT检查结果能否预测创伤后癫痫？
Front Neurol. 2025 Jul 25;16:1609733. doi: 10.3389/fneur.2025.1609733. eCollection 2025.
6
Association of EEG Response to Hypertonic Saline and Neurologic Outcomes in Pediatric Acute Brain Injury.小儿急性脑损伤中脑电图对高渗盐水的反应与神经学预后的关联
Res Sq. 2025 Jul 30:rs.3.rs-7200528. doi: 10.21203/rs.3.rs-7200528/v1.
7
Features, Outcome, and Treatment of Postanoxic Status Epilepticus: Pooled Analysis of 3 Cohorts.缺氧后癫痫持续状态的特征、结局及治疗：3个队列的汇总分析
Neurology. 2025 Aug 26;105(4):e213913. doi: 10.1212/WNL.0000000000213913. Epub 2025 Jul 28.
8
Unreactive EEG Background Is Associated With Unfavorable Outcome in Patients With Disorders of Consciousness of Various Etiologies: An Adult Cohort Study.脑电图背景无反应与各种病因导致的意识障碍患者的不良预后相关：一项成人队列研究。
Eur J Neurol. 2025 Aug;32(8):e70312. doi: 10.1111/ene.70312.
9
Controversies: Periodic discharges in critically ill patients -" urgent treatment is essential".争议：重症患者的周期性放电——“紧急治疗至关重要”。
Clin Neurophysiol Pract. 2025 Jul 5;10:286-291. doi: 10.1016/j.cnp.2025.06.010. eCollection 2025.
10
Predicting delirium in critically Ill COVID-19 patients using EEG-derived data: a machine learning approach.利用脑电图衍生数据预测危重症COVID-19患者的谵妄：一种机器学习方法。
Geroscience. 2025 Jul 23. doi: 10.1007/s11357-025-01809-0.
Zotero 插件