• DocumentCode
    189640
  • 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
  • fYear
    2014
  • fDate
    2-5 Nov. 2014
  • Firstpage
    688
  • Lastpage
    690
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SENSORS, 2014 IEEE
  • Conference_Location
    Valencia
  • Type

    conf

  • DOI
    10.1109/ICSENS.2014.6985092
  • Filename
    6985092