Literature DB >> 16013280

[A review of the application of electroencephalogram in detecting depth of anesthesia].

Fuying Tian1, Zhiqian Ye.   

Abstract

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.

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Mesh:

Year:  2005        PMID: 16013280

Source DB:  PubMed          Journal:  Sheng Wu Yi Xue Gong Cheng Xue Za Zhi        ISSN: 1001-5515


  1 in total

1.  A Predictive Model of Anesthesia Depth Based on SVM in the Primary Visual Cortex.

Authors:  Li Shi; Xiaoyuan Li; Hong Wan
Journal:  Open Biomed Eng J       Date:  2013-08-19
  1 in total

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