A Novel Medical E-Nose Signal Analysis System
AbstractIt has been proven that certain biomarkers in people’s breath have a relationship with diseases and blood glucose levels (BGLs). As a result, it is possible to detect diseases and predict BGLs by analysis of breath samples captured by e-noses. In this paper, a novel optimized medical e-nose system specified for disease diagnosis and BGL prediction is proposed. A large-scale breath dataset has been collected using the proposed system. Experiments have been organized on the collected dataset and the experimental results have shown that the proposed system can well solve the problems of existing systems. The methods have effectively improved the classification accuracy. View Full-Text
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Kou, L.; Zhang, D.; Liu, D. A Novel Medical E-Nose Signal Analysis System. Sensors 2017, 17, 402.
Kou L, Zhang D, Liu D. A Novel Medical E-Nose Signal Analysis System. Sensors. 2017; 17(4):402.Chicago/Turabian Style
Kou, Lu; Zhang, David; Liu, Dongxu. 2017. "A Novel Medical E-Nose Signal Analysis System." Sensors 17, no. 4: 402.
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