A correlated information removing based interference suppression technique in electronic nose for detection of bacteria
作者： Zhifang Liang , Fengchun Tian , Ci Zhang , Hao Sun , Xiangmin Liu
DOI: 10.1016/J.ACA.2017.07.028
关键词:
摘要: A sensor array with 30 gas sensors is used in the electronic nose (e-nose) for bacteria detection wound infection. However, interference an urgent problem e-nose, since it would impact on of target due to cross-sensitivity sensors, especially background caused by carrier gas. The related methods suppress are independent component analysis and orthogonal signal correction algorithm which unreasonable, because difficult obtain so-called reference vector complex real-world scenario. Consider that sampling process pump suction divided into three parts: baseline collecting, sample collecting system purging. In case stabilized gas, information can be fully stage. Thus a novel effective correlated removing based suppression (CIRIS) method proposed. Specifically, principle this stage samples. Experimental results show proposed (CIRIS principal calculate projection matrix) significantly e-nose.
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