DocumentCode :
3846008
Title :
Determination of Blood Glucose Level-Based Breath Analysis by a Quartz Crystal Microbalance Sensor Array
Author :
Hamdi Melih Saraoglu;Mehmet Kocan
Author_Institution :
Dept. of Electr. & Electron. Eng., Dumlupinar Univ., Kutahya, Turkey
Volume :
10
Issue :
1
fYear :
2010
Firstpage :
104
Lastpage :
109
Abstract :
This paper aims to determine human blood glucose levels through analyzing the acetone present in exhaled breath as a noninvasive 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. In order for the QCM sensors to sense low levels of acetone concentration, a condenser containing zeolite absorbent ingredients is used in the experiment mechanism. The QCM sensor data obtained from breath is compared with blood glucose value. A data set of 40 volunteers with blood glucose values ranging from 84.83 mg/dl to 334 mg/dl was examined in this paper. An artificial neural network (ANN) trained using the Levenberg-Marquardt (LMNN) algorithm was developed. Data from 31 of the volunteers was used for training the ANN and data from nine volunteers was reserved for testing. Eventually, result of the study has an error of 20.13%.
Keywords :
"Sensor arrays","Blood","Sugar","Humans","Artificial neural networks","Diseases","Gas detectors","Sensor systems","Electronic noses","Medical treatment"
Journal_Title :
IEEE Sensors Journal
Publisher :
ieee
ISSN :
1530-437X
Type :
jour
DOI :
10.1109/JSEN.2009.2035769
Filename :
5352205
Link To Document :
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