@inproceedings{dae2b81f4c834d4b84ce653b2a3f08d1,
title = "An investigation on e-nose platform relevance to respiratory diseases",
abstract = "The e-nose platform here presented gather up 190 sensors belonging to four different e-nose technologies. This platform is used in the context of a European project (U-Biopred) measuring exhaled breath samples collected from patients affected by mild or severe asthma. Sensor responses are investigated asking which disease can be diagnosed on the basis of sensor correlation with specific clinical parameters.",
keywords = "Asthma, Electronic nose, Multivariate data analysis, Respiratory diseases",
author = "M. Santonico and A. Zompanti and C. Vernile and G. Pennazza and P. Brinkman and Wagener, {A. H.} and Sterk, {P. J.} and A. D'Amico and P. Montuschi",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 13th IEEE SENSORS Conference, SENSORS 2014 ; Conference date: 02-11-2014 Through 05-11-2014",
year = "2014",
month = dec,
day = "12",
doi = "https://doi.org/10.1109/ICSENS.2014.6985092",
language = "English",
series = "Proceedings of IEEE Sensors",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "December",
pages = "688--690",
editor = "Arregui, {Francisco J.}",
booktitle = "IEEE SENSORS 2014, Proceedings",
address = "United States",
edition = "December",
}