Rapid Response EEG: Current State and Future Directions.

Rapid Response EEG: Current State and Future Directions.
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快速响应脑电图:当前状态和未来方向。

DOI:
10.1007/s11910-022-01243-1
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发表时间:
2022-12
影响因子:
5.6
通讯作者:
--
中科院分区:
医学2区
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--
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对急诊脑电图的应用、方法和进展文献进行批判性评价。快速EEG(rEEG)技术和其他减少蒙太奇方法的发展,沿着过去十年机器学习的进步,提高了EEG采集的速度和可及性。这些成就使EEG在紧急情况下成为检测癫痫发作、疑似非惊厥性癫痫持续状态(NCSE)、精神状态改变、中风和镇静情况的实用诊断技术。越来越多的证据支持使用脑电图,以加快医疗决策的设置可疑的急性神经损伤。本文综述了在成人和儿童人群的紧急情况下获取EEG的方法。我们还涵盖了这些数据的临床影响,与紧急EEG相关的时间,以及在这些设置中获取EEG的成本。最后,我们讨论了人工智能的快速电生理解释的进展。
To critically appraise the literature on the application, methods, and advances in emergency electroencephalography (EEG). The development of rapid EEG (rEEG) technologies and other reduced montage approaches, along with advances in machine learning over the past decade, has increased the rate and access to EEG acquisition. These achievements have made EEG in the emergency setting a practical diagnostic technique for detecting seizures, suspected nonconvulsive status epilepticus (NCSE), altered mental status, stroke, and in the setting of sedation. Growing evidence supports using EEG to expedite medical decision-making in the setting of suspected acute neurological injury. This review covers approaches to acquiring EEG in the emergency setting in the adult and pediatric populations. We also cover the clinical impact of this data, the time associated with emergency EEG, and the costs of acquiring EEG in these settings. Finally, we discuss the advances in artificial intelligence for rapid electrophysiological interpretation.
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