机构：[1]Department of Electronic Engineering, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China深圳市康宁医院深圳医学信息中心[2]Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen 518055, China[3]Department of Computing, Biometrics Research Centre, The Hong Kong Polytechnic University, Kowloon, Hong Kong[4]Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou 510120, China广东省中医院[5]Biocomputing Research Center, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen 518055, China
It has been reported that concentrations of several biomarkers in diabetics' breath show significant difference from those in healthy people's breath. Concentrations of some biomarkers are also correlated with the blood glucose levels (BGLs) of diabetics. Therefore, it is possible to screen for diabetes and predict BGLs by analyzing one's breath. In this paper, we describe the design of a novel breath analysis system for this purpose. The system uses carefully selected chemical sensors to detect biomarkers in breath. Common interferential factors, including humidity and the ratio of alveolar air in breath, are compensated or handled in the algorithm. Considering the intersubject variance of the components in breath, we build subject-specific prediction models to improve the accuracy of BGL prediction. A total of 295 breath samples from healthy subjects and 279 samples from diabetic subjects were collected to evaluate the performance of the system. The sensitivity and specificity of diabetes screening are 91.51% and 90.77%, respectively. The mean relative absolute error for BGL prediction is 21.7%. Experiments show that the system is effective and that the strategies adopted in the system can improve its accuracy. The system potentially provides a noninvasive and convenient method for diabetes screening and BGL monitoring as an adjunct to the standard criteria.
基金：
Natural Science Foundation of ChinaNational Natural Science Foundation of China [61332011, 61020106004, 61272292, 61271344]; GRF fund from the HKSAR Government; central fund from Hong Kong Polytechnic University; National Basic Research Program of China (973 Program)National Basic Research Program of China [2011CB505404]; Shenzhen Fundamental Research fund [JCYJ20130401152508661]; Key Laboratory of Network Oriented Intelligent Computation, Shenzhen, China
第一作者机构：[1]Department of Electronic Engineering, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China
通讯作者：
通讯机构：[2]Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen 518055, China[3]Department of Computing, Biometrics Research Centre, The Hong Kong Polytechnic University, Kowloon, Hong Kong
推荐引用方式(GB/T 7714)：
Yan Ke,Zhang David,Wu Darong,et al.Design of a Breath Analysis System for Diabetes Screening and Blood Glucose Level Prediction[J].IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING.2014,61(11):2787-2795.doi:10.1109/TBME.2014.2329753.
APA：
Yan, Ke,Zhang, David,Wu, Darong,Wei, Hua&Lu, Guangming.(2014).Design of a Breath Analysis System for Diabetes Screening and Blood Glucose Level Prediction.IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING,61,(11)
MLA：
Yan, Ke,et al."Design of a Breath Analysis System for Diabetes Screening and Blood Glucose Level Prediction".IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING 61..11(2014):2787-2795
