A Novel Medical E-Nose Signal Analysis System

It has been proven that certain biomarkers in people's breath have a relationship with diseases and blood glucose levels (BGLs). As a result, it is possible to detect diseases and predict BGLs by analysis of breath samples captured by e-noses. In this paper, a novel optimized medical e-nose sys...

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Bibliographic Details
Published in:	Sensors (Basel, Switzerland) Vol. 17; no. 4; p. 402
Main Authors:	Kou, Lu, Zhang, David, Liu, Dongxu
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI AG 05-04-2017 MDPI
Subjects:	blood glucose level breath analysis Breath tests chemical sensors e-nose Electronic noses Glucose Signal analysis System effectiveness blood glucose level breath analysis e-nose chemical sensors
Online Access:	Get full text
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Summary:	It has been proven that certain biomarkers in people's breath have a relationship with diseases and blood glucose levels (BGLs). As a result, it is possible to detect diseases and predict BGLs by analysis of breath samples captured by e-noses. In this paper, a novel optimized medical e-nose system specified for disease diagnosis and BGL prediction is proposed. A large-scale breath dataset has been collected using the proposed system. Experiments have been organized on the collected dataset and the experimental results have shown that the proposed system can well solve the problems of existing systems. The methods have effectively improved the classification accuracy.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ISSN:	1424-8220 1424-8220
DOI:	10.3390/s17040402