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经典脑电图参数:中位频率、频谱边缘频率等。

Classic electroencephalographic parameters: median frequency, spectral edge frequency etc.

作者信息

Tonner P H, Bein B

机构信息

Department of Anaesthesiology and Intensive Care Medicine, University Hospital Schleswig-Holstein, Campus Kiel, Schwanenweg 21, D-24105 Kiel, Germany.

出版信息

Best Pract Res Clin Anaesthesiol. 2006 Mar;20(1):147-59. doi: 10.1016/j.bpa.2005.08.008.

Abstract

Even today many anaesthesiologists rely on parameters of the autonomic nervous system, such as blood pressure and heart rate to decide if a patient is adequately anaesthetized. It is thought that the electroencephalogram (EEG) may provide more information on the state of anaesthesia. Because full EEG analysis is not possible in the operating room, processed EEG parameters have been developed comprising complex information into a single value. Time and frequency domain parameters are calculated. The power spectrum results from a Fourier analysis and can be described by parameters such as median frequency, spectral edge frequency and others. It was noted, however, that anaesthetics at low doses increase frequency of the EEG, whereas at high doses the EEG is depressed. This biphasic response makes it difficult to clearly distinguish the exact anaesthetic state of a patient. Median frequency and spectral edge frequency have been studied in numerous studies. However, no sole indicator has been derived from the EEG that could serve as a descriptor of anaesthetic depth.

摘要

即使在今天,许多麻醉医生仍依赖自主神经系统的参数,如血压和心率来判断患者是否得到充分麻醉。人们认为脑电图(EEG)可能会提供更多关于麻醉状态的信息。由于在手术室无法进行完整的脑电图分析,因此已开发出经过处理的脑电图参数,将复杂信息整合为一个单一值。计算了时域和频域参数。功率谱由傅里叶分析得出,可以用诸如中位频率、频谱边缘频率等参数来描述。然而,人们注意到低剂量麻醉药会增加脑电图的频率,而高剂量时脑电图会受到抑制。这种双相反应使得难以清楚地辨别患者的确切麻醉状态。在众多研究中对中位频率和频谱边缘频率进行了研究。然而,尚未从脑电图中得出能够作为麻醉深度描述指标的单一指标。

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