@article {543,
	title = {A Novel Method for Diagnosing Chronic Rhinosinusitis based on an Electronic Nose},
	journal = {Anales otorrinolaringol{\'o}gicos ibero-americanos},
	volume = {30},
	year = {2003},
	month = {2003},
	pages = {447-57},
	abstract = {The nasal out-breath of persons with chronic nasal and/or paranasal infections may have characteristic strange odors, which in our experience are in most cases related to bacterial and/or fungal infections of the sinuses. The objective of the present study was to examine nasal out-breath samples from patients with chronic rhinosinusitis (CRS) (with or without polyposis) and healthy control volunteers using the electronic-nose (EN) technology. We developed a simple technique for collecting samples of nasal out-breath in disposable sterile plastic sacks with a tight closing seal. The principal component analysis correctly classified all individual EN patterns for CRS patients and misclassified 2 samples from the healthy controls (80.0\% successful classification rate). The artificial neural network analysis correctly classified 60.0\% of the patterns of both groups. We believe that the use of methodologies based on EN technology, combined with conventional clinical examinations, may improve the diagnosis of chronic rhinosinusitis.},
	keywords = {Adult, Chronic Disease, Electronics, Female, Humans, Male, Rhinitis, Sinusitis},
	issn = {0303-8874},
	author = {Mohamed, Ehab I and Bruno, Ernesto and Linder, Roland and Alessandrini, Marco and Di Girolamo, Alberto and Siegfried J. P{\"o}ppl and Puija, Alberto and De Lorenzo, Antonino}
}
