Accuracy of Narcotrend Index in Monitoring Depth of Anesthesia in Diabetics: a Case Report

Yong-sheng Qiu; Qing Xu

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Accuracy of Narcotrend Index in Monitoring Depth of Anesthesia in Diabetics: a Case Report

中国医学科学杂志（英文版） 2014年第4期页码：251-252

• 论著 • | Updated：2024-04-10

- Accuracy of Narcotrend Index in Monitoring Depth of Anesthesia in Diabetics: a Case Report
- Affiliations：
  
  Department of Anesthesiology, Zhengzhou Children’s Hospital,Zhengzhou,China,450053
- Author bio：
- Funds：
- DOI：
  中图分类号：
- 网络出版日期：2014-11-28，
  
  纸质出版日期：2014
- Accepted：
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Yong-sheng Qiu, Qing Xu. Accuracy of Narcotrend Index in Monitoring Depth of Anesthesia in Diabetics: a Case Report[J]. 中国医学科学杂志（英文版）, 2014,(4):251-252.

Yong-sheng Qiu, Qing Xu. Accuracy of Narcotrend Index in Monitoring Depth of Anesthesia in Diabetics: a Case Report[J]. Chinese medical sciences journal, 2014, (4): 251-252.
Yong-sheng Qiu, Qing Xu. Accuracy of Narcotrend Index in Monitoring Depth of Anesthesia in Diabetics: a Case Report[J]. 中国医学科学杂志（英文版）, 2014,(4):251-252. DOI：

Yong-sheng Qiu, Qing Xu. Accuracy of Narcotrend Index in Monitoring Depth of Anesthesia in Diabetics: a Case Report[J]. Chinese medical sciences journal, 2014, (4): 251-252. DOI：

摘要

NARCOTREND index (NI) is based on studies of normal human brain electrical data. It uses an ordinary electrode to collect and analysis brain electrical signals immediately at any position of the head

to display the state of consciousness and depth of anesthesia of patients on the touch screen after automatic analysis and classification

so as to guide dose adjustment of anesthetics. NI may make the consciousness and depth of anesthesia monitoring safe

simple

accurate

and economic. It is important that NI is more accurate than classical electroencephalographic variables.1 Weber et al2 believed that the NI was an objective and true index in the evaluation of propofol sedation in children.

Abstract

NARCOTREND index (NI) is based on studies of normal human brain electrical data. It uses an ordinary electrode to collect and analysis brain electrical signals immediately at any position of the head

to display the state of consciousness and depth of anesthesia of patients on the touch screen after automatic analysis and classification

so as to guide dose adjustment of anesthetics. NI may make the consciousness and depth of anesthesia monitoring safe

simple

accurate

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