A Novel Medical E-Nose Signal Analysis System

被引：88
作者：
Kou, Lu [1 ]
Zhang, David [1 ,2 ]
Liu, Dongxu [2 ]
机构：
[1] Hong Kong Polytech Univ, Dept Comp, Biometr Res Ctr, Kowloon 999077, Hong Kong, Peoples R China
[2] Harbin Inst Technol, Shenzhen Grad Sch, Dept Comp Sci, Shenzhen 518055, Peoples R China
来源：
SENSORS | 2017年 / 17卷 / 04期
关键词：
e-nose; chemical sensors; breath analysis; blood glucose level; ELECTRONIC NOSE; BLOOD-GLUCOSE; BREATH ACETONE; CLASSIFICATION; SENSORS; ASTHMA; ONLINE;
D O I：
10.3390/s17040402
中图分类号：
O65 [分析化学];
学科分类号：
070302 ; 081704 ;
摘要：
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.
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页数：15
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