DocumentCode :
104771
Title :
Electronic Nose System Based on Quartz Crystal Microbalance Sensor for Blood Glucose and HbA1c Levels From Exhaled Breath Odor
Author :
Saraoglu, Hamdi Melih ; Selvi, Ali Osman ; Ebeoglu, Mehmet Ali ; Tasaltin, Cihat
Author_Institution :
Dept. of Electr. & Electron. Eng., Dumlupinar Univ., Kutahya, Turkey
Volume :
13
Issue :
11
fYear :
2013
fDate :
Nov. 2013
Firstpage :
4229
Lastpage :
4235
Abstract :
It is known that the rate of acetone in human breath changes in diabetics. The organs in the human body produce different gases. During cleaning of the blood, which is transmitted to the lungs and into the blood gases, the breath passes through the alveoli. Human breath acetone concentration is very low (0.1-10 ppm). This paper aims to determine human blood glucose and HbA1c levels from exhaled breath as a non-invasive method with the help of an electronic nose system based on quartz crystal microbalance (QCM) sensors. The amount of acetone vapor, which is the marker of blood glucose, is 0.1-10 ppm in human expiration. Data of the QCM sensor used in the electronic nose are compared against glucose and HbA1c parameters in blood by using a radial basis function neural network (RBFNN). When breath data are implemented to the RBFNN, the average accuracy rate is 83.03% and 74.76% for HbA1c parameter predictions and glucose parameter predictions, respectively.
Keywords :
blood; electronic noses; medical disorders; neural nets; organic compounds; pneumodynamics; quartz crystal microbalances; HbA1c levels; QCM sensors; RBFNN; acetone rate; acetone vapor; alveoli; blood cleaning; blood gases; blood glucose; diabetics; electronic nose system; exhaled breath odor; human breath; human expiration; lungs; quartz crystal microbalance sensor; radial basis function neural network; Breath; HbA1c; QCM sensor; concentrator; diabetes; electronic nose; glucose; neural network; radial function;
fLanguage :
English
Journal_Title :
Sensors Journal, IEEE
Publisher :
ieee
ISSN :
1530-437X
Type :
jour
DOI :
10.1109/JSEN.2013.2265233
Filename :
6531672
Link To Document :
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