Title
Sensor Array Optimization of Electronic Nose for Detection of Bacteria in Wound Infection.
Abstract
In order to identify the bacteria in wound infection, an electronic nose system with a sensor array of 34 sensors was designed. Eight kinds of samples were detected, i.e., culture medium, Escherichia coli, Staphylococcus aureus, Pseudomonas aeruginosa and their mixture with different concentration. Using support vector machine as the classifier and without sensor array optimization, the recognitio...
Year
DOI
Venue
2017
10.1109/TIE.2017.2694353
IEEE Transactions on Industrial Electronics
Keywords
Field
DocType
Sensor arrays,Microorganisms,Optimization,Methane,Ethanol,Hydrogen,Genetic algorithms
Control theory,Sensor array,Mahalanobis distance,Artificial intelligence,Classifier (linguistics),Genetic algorithm,Electronic nose,Pattern recognition,Support vector machine,Speech recognition,Linear discriminant analysis,Engineering,Principal component analysis
Journal
Volume
Issue
ISSN
64
9
0278-0046
Citations 
PageRank 
References 
1
0.39
8
Authors
9
Name
Order
Citations
PageRank
Hao Sun110.39
Fengchun Tian22710.47
Zhifang Liang3123.39
Tong Sun4146.58
Bin Yu55027.48
Simon X. Yang61029124.34
Qinghua He710.39
Longlong Zhang810.72
Xiangmin Liu910.39