• DocumentCode
    3304827
  • Title

    Effects of sensor cleaning on the classification rate for an electronic nose

  • Author

    Wyrick, David W. ; Ledbetter, John W. ; Nagle, H. Troy

  • Author_Institution
    Biomed. Instr. Lab., North Carolina State Univ., Raleigh, NC, USA
  • Volume
    2
  • fYear
    1999
  • fDate
    36434
  • Abstract
    The electronic nose (E-Nose) is an instrument for measuring odors in air samples. In many applications processing samples rapidly to reduce testing costs is a goal. In this study, we examine the impact of eliminating the sensor cleaning step that is customarily inserted between measurements. We have found that cleaning the sensors does improve classification accuracy, but not significantly in some cases. Future studies to characterize optimal operating sequences for E-Nose devices are planned
  • Keywords
    chemioception; gas sensors; surface cleaning; air samples; classification accuracy; classification rate; electronic nose; odor measurement; optimal operating sequences; sensor cleaning; testing costs; Biomedical measurements; Biosensors; Cleaning; Electronic noses; Instruments; Laboratories; Linear discriminant analysis; Sensor arrays; Sensor phenomena and characterization; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    [Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint
  • Conference_Location
    Atlanta, GA
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-5674-8
  • Type

    conf

  • DOI
    10.1109/IEMBS.1999.803969
  • Filename
    803969