title: A Novel Medical E-Nose Signal Analysis System.
abstract: It 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.
authors.affiliation: Biometrics Research Center, Department of Computing, The Hong Kong Polytechnic University, Kowloon 999077, Hong Kong, China. cslkou@comp.polyu.edu.hk.
authors.forename: Lu
authors.initials: L
authors.lastname: Kou
authors.affiliation: Biometrics Research Center, Department of Computing, The Hong Kong Polytechnic University, Kowloon 999077, Hong Kong, China. csdzhang@comp.polyu.edu.hk.|Department of Computer Science, Harbin Institute of Technology Shenzhen graduate school, Shenzhen 518055, China. csdzhang@comp.polyu.edu.hk.
authors.forename: David
authors.initials: D
authors.lastname: Zhang
authors.affiliation: Department of Computer Science, Harbin Institute of Technology Shenzhen graduate school, Shenzhen 518055, China. liudongxu@alu.hit.edu.cn.
authors.forename: Dongxu
authors.initials: D
authors.lastname: Liu
keywords: blood glucose level; breath analysis; chemical sensors; e-nose