A Hybrid machine learning algorithm for detection of simulated expiratory markers of diabetic patients based on gas sensor array

The method for breath detection using gas sensor array is gaining popularity. It was found that acetone can be used as breath marker in diabetic patients. In this paper, seven metal oxide gas sensors were used to collect acetone and ethanol gas which are used to simulate the exhaled breath of diabet...

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Bibliographic Details
Published in:	IEEE sensors journal Vol. 23; no. 3; p. 1
Main Authors:	Zhu, Hongyin, Liu, Chao, Zheng, Yao, Zhao, Jing, Li, Lei
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.02.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Accuracy Acetone Adaptive algorithms Algorithms Datasets Diabetes Drift Ethanol Gas detectors gas sensor array Gas sensors Gases Liquids Machine learning Metal oxides prediction Prediction algorithms Principal components analysis Sensor arrays Sensors
ISSN:	1530-437X, 1558-1748
Online Access:	Get full text
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