Tian Fuying, Ye Zhiqian
Clinical Engineering Institute of Zhejiang University, Hangzhou 310006, China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2005 Jun;22(3):645-8.
Anesthesia as a necessary procedure in the process of surgical operation could restrain the response of patients to the damage stimulation; However, improper anesthesia could also result in severe misfortune for patients. At the present time, one kind of monitor technology assuring highly effectual anesthesia is exigently required in clinical practice and many researchers have actively undertaken investigations to seek the parameters predicting the depth of anesthesia (DOA). Electroencephalogram (EEG) assumes a dominant position in the current researches on detecting the depth of anesthesia. In this paper, the achievements of detecting the depth of anesthesia by means of EEG are systematically reviewed and the potentials are anticipated.
麻醉作为外科手术过程中的一项必要操作，可以抑制患者对损伤性刺激的反应；然而，不当的麻醉也可能给患者带来严重的不幸。目前，临床实践迫切需要一种能确保高效麻醉的监测技术，许多研究人员已积极开展研究以寻找预测麻醉深度（DOA）的参数。脑电图（EEG）在当前麻醉深度检测研究中占据主导地位。本文系统综述了利用脑电图检测麻醉深度的研究成果，并对其潜力进行了展望。
