TY - GEN
T1 - Diabetes identification and classification by means of a breath analysis system
AU - Guo, Dongmin
AU - Zhang, Dapeng
AU - Li, Naimin
AU - Zhang, Lei
AU - Yang, Jianhua
PY - 2010/7/21
Y1 - 2010/7/21
N2 - This article proposes a breath analysis system that makes use of chemical sensors to detect acetone in human breath, and hence detect the diabetes and measure the blood glucose levels of diabetics. We captured the breath samples from healthy persons and patients known to be afflicted with diabetes and conducted experiments on disease identification and simultaneous blood glucose measurement. SVM classifier was used to identify diabetes from healthy samples and three models were built to fit the curves that can represent the blood glucose levels. The results show that the system is not only able to distinguish between breath samples from patients with diabetes and healthy subjects, but also to represent the fluctuation of blood sugar of diabetics and therefore to be an evaluation tool for monitoring the blood glucose of diabetes.
AB - This article proposes a breath analysis system that makes use of chemical sensors to detect acetone in human breath, and hence detect the diabetes and measure the blood glucose levels of diabetics. We captured the breath samples from healthy persons and patients known to be afflicted with diabetes and conducted experiments on disease identification and simultaneous blood glucose measurement. SVM classifier was used to identify diabetes from healthy samples and three models were built to fit the curves that can represent the blood glucose levels. The results show that the system is not only able to distinguish between breath samples from patients with diabetes and healthy subjects, but also to represent the fluctuation of blood sugar of diabetics and therefore to be an evaluation tool for monitoring the blood glucose of diabetes.
UR - http://www.scopus.com/inward/record.url?scp=77954654599&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-13923-9_6
DO - 10.1007/978-3-642-13923-9_6
M3 - Conference article published in proceeding or book
SN - 3642139221
SN - 9783642139222
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 52
EP - 63
BT - Medical Biometrics - Second International Conference, ICMB 2010, Proceedings
T2 - 2nd International Conference on Medical Biometrics, ICMB 2010
Y2 - 28 June 2010 through 30 June 2010
ER -
