摘要：

针对电子鼻伤口感染检测中的背景干扰问题，提出一种带参考向量的独立分量分析(ICA)背景干扰消除算法。利用ICA分解传感器阵列信号并提取独立分量，通过计算独立分量与参考向量的相关性，区分有用信号和背景干扰，采用神经网络分类器进行模式识别。实验结果表明，该算法能消除电子鼻背景干扰，提高伤口感染检测的准确率。

关键词: 电子鼻, 伤口感染, 背景干扰消除, 独立分量分析, 参考向量

Abstract:

For the problem of background interference in wound infection detection by electronic nose, this paper proposes a background interference elimination algorithm of Independent Component Analysis(ICA) with reference vector. It employs ICA to decompose signals of the sensor array and extract independent components, and discriminates useful sources and background interference through the correlation between the independent components and a reference vector. Then neural network classifier is used for discrimination. Experimental results show that the algorithm can effectively eliminate the electronic nose background interference and improve the recognition accuracy rate of wound infection.

Key words: electronic nose, wound infection, background interference elimination, Independent Component Analysis(ICA), reference vector

中图分类号: 

• TP212