摘要
麻醉气体的成分和含量是医院手术室麻醉患者时的重要指标,为同时检测麻醉气体中的各种成分的浓度,本研究根据不同浓度的某种气体对红外光的吸收系数不同原理,在传统的一种麻醉气体种类和浓度的分次检测的基础上,采用高次矩阵逐次逼近算法和神经元网络算法加以改进,得到多种麻醉气体种类和浓度能同时被计算和检出的有效方法和可行性,从而得到麻醉气体中各种成分气体的种类和浓度可以同时检测的结论。
The component and the content of anesthetic gas are important indexes of anesthetizing the patients by operation room. According to the different principles of infrared absorption coefficient of different concentrative gas,based on traditionally detecting a kind of anesthetic gas type and concentration,higher order matrix of successive-approximation and neural network algorithms are used to improve in this article,obtaining the effective methods and feasibility that types and concentrations of various anesthetic gas can be calculated and detected simultaneously,resuhing in drawing the conclusion that species and concentrations of gas with various components in the anesthetic gas can be detected at the same time.
出处
《中国医药科学》
2013年第6期155-158,164,共5页
China Medicine And Pharmacy
