NDLI: Detection of seasonal allergic rhinitis from exhaled breath VOCs using an electronic nose based on an array of chemical sensors

Content Provider	IEEE Xplore Digital Library
Author	Saidi, T. Tahri, K. El Bari, N. Ionescu, R. Bouchikhi, B.
Copyright Year	2015
Description	Author affiliation: Electron. Eng. & Autom. Dept., Rovira i Virgili Univ., Tarragona, Spain (Ionescu, R.) \|\| Biol. Dept., Moulay Ismail Univ., Meknes, Morocco (El Bari, N.) \|\| Phys. Dept., Moulay Ismail Univ., Meknes, Morocco (Saidi, T.; Tahri, K.; Bouchikhi, B.)
Abstract	In this study, we investigate for the first time the ability of an electronic nose (E-nose) based on an array of chemical sensors to discriminate between breath Volatile Organic Compounds (VOCs) that characterize patients with Seasonal Allergic Rhinitis (SAR) and healthy states. To reach this aim, multivariate analysis including Principal Component Analysis (PCA), Hierarchical Cluster Analysis (HCA) and Support Vector Machines (SVMs) were applied for database as an alternative tools for the resolution of complex classification situations. The preliminary results reveal that VOC-patterns of exhaled breath were accurately discriminated patients with SAR from healthy controls. These findings indicate that the E-nose may succeed as a non-invasive diagnostic tool, low cost and rapid technique for breath analysis.
Sponsorship	IEEE
Starting Page	1
Ending Page	4
File Size	878039
Page Count	4
File Format	PDF
e-ISBN	9781479982035
DOI	10.1109/ICSENS.2015.7370579
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-11-01
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Principal component analysis Electronic noses Arrays Gas detectors Instruments Support vector machines Carbon Multivariate analysis Electronic nose Gas sensors Exhaled breath analysis Seasonal allergic rhinitis
Content Type	Text
Resource Type	Article

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