Rosén Ingmar
Division of Clinical Neurophysiology, Department of Clinical Science, University Hospital, S-22185, Lund, Sweden.
Clin Perinatol. 2006 Sep;33(3):593-611, v. doi: 10.1016/j.clp.2006.06.013.
Continuous monitoring of the electrocortical activity as compared with intermittent recording sessions offers a possibility of revealing changes of the condition of the brain, relevant for clinical decisions. Furthermore, trend monitoring, such as amplitude integrated electroencephalogram (aEEG), helps the clinician in extracting features such as background activity, sleep-waking cycling, and seizure patterns, which have been proven relevant for prognosis and treatment of the preterm and sick term infant. A coherent model for classification and description of neonatal aEEG patterns is presented.
与间歇性记录时段相比,对皮质电活动进行连续监测提供了揭示大脑状况变化的可能性,这与临床决策相关。此外,趋势监测,如振幅整合脑电图(aEEG),有助于临床医生提取背景活动、睡眠-觉醒周期和癫痫发作模式等特征,这些特征已被证明与早产儿和足月儿的预后及治疗相关。本文提出了一个用于新生儿aEEG模式分类和描述的连贯模型。