Title :
An investigation on e-nose platform relevance to respiratory diseases
Author :
Santonico, M. ; Zompanti, A. ; Vernile, C. ; Pennazza, G. ; D´Amico, A. ; Brinkman, P. ; Wagener, A.H. ; Sterk, P.J. ; Montuschi, P.
Author_Institution :
Center for Integrated Res., Campus Bio-Medico Univ., Rome, Italy
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 :
biomedical measurement; diseases; electronic noses; patient diagnosis; pneumodynamics; European project U-Biopred; clinical parameters; e-nose platform; e-nose technologies; exhaled breath sample measurement; mild asthma; respiratory diseases; sensor correlation; sensor responses; severe asthma; Chemicals; Correlation; Data models; Diseases; Fingerprint recognition; Lungs; Predictive models; Asthma; Electronic nose; Multivariate Data Analysis; Respiratory diseases;
Conference_Titel :
SENSORS, 2014 IEEE
Conference_Location :
Valencia
DOI :
10.1109/ICSENS.2014.6985092
