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重症监护病房中持续脑电图监测的数据分析:见林又见树。

Data analysis for continuous EEG monitoring in the ICU: seeing the forest and the trees.

作者信息

Scheuer Mark L, Wilson Scott B

机构信息

Department of Neurology, University of Pittsburgh Epilepsy Center, Kaufmann Medical Building, 3471 Fifth Avenue, Pittsburgh, PA 15213, U.S.A.

出版信息

J Clin Neurophysiol. 2004 Sep-Oct;21(5):353-78.

Abstract

Continuous EEG monitoring (CEEG) is a powerful tool for evaluating cerebral function in obtunded and comatose critically ill patients. The ongoing analysis of CEEG data is a major task because of the volume of data generated during monitoring and the need for near real-time interpretation of a patient's EEG patterns. Advances in digital EEG data acquisition, computer processing, data transmission, and data display have made CEEG monitoring in the intensive care unit technically feasible. A variety of quantitative EEG tools such as Fourier analysis and amplitude-integrated EEG, and other methods of data analysis such as computerized seizure detection, increasingly allow for focused review of EEG epochs of potential interest. These tools reduce the tremendous time burdens that accompany analysis of the complete CEEG data stream, and allow bedside personnel and nonexpert staff to potentially recognize significant EEG changes in a timely fashion. This article uses literature review and clinical case examples to illustrate techniques for the display and analysis of intensive care unit CEEG recordings. Areas requiring further research and development are discussed.

摘要

连续脑电图监测(CEEG)是评估意识模糊和昏迷的重症患者脑功能的有力工具。由于监测过程中产生的数据量巨大,且需要对患者的脑电图模式进行近实时解读,因此对CEEG数据进行持续分析是一项主要任务。数字脑电图数据采集、计算机处理、数据传输和数据显示方面的进展使得在重症监护病房进行CEEG监测在技术上可行。各种定量脑电图工具,如傅里叶分析和振幅整合脑电图,以及其他数据分析方法,如计算机化癫痫检测,越来越能够对潜在感兴趣的脑电图时段进行重点回顾。这些工具减轻了分析完整CEEG数据流所带来的巨大时间负担,并使床边工作人员和非专业人员有可能及时识别出显著的脑电图变化。本文通过文献综述和临床病例示例来说明重症监护病房CEEG记录的显示和分析技术。还讨论了需要进一步研究和开发的领域。

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