• DocumentCode
    1617778
  • Title

    An Improved Integrated Electronic Nose for Online Measurement of VOCs in Indoor Air

  • Author

    Xiangsheng, Fang ; Guowei, Qi ; Miao, Guo ; Min, Pan ; Yuquan, Chen

  • Author_Institution
    Dept. of Biomed. Eng., Zhejiang Univ., Hangzhou
  • fYear
    2006
  • Firstpage
    2894
  • Lastpage
    2897
  • Abstract
    An improved integrated electronic nose mimic human olfactory system was developed and applied to online measurement of volatile organic compounds (VOCs) in indoor air. An enrichment unit based on active adsorbent sampling and thermal desorption was employed to lower detection limits to matching environmental concentrations. Two kinds of optimized arrays of sensors were designed, and an FFT and RBF artificial neural network were employed for dynamic signal extraction and pattern recognition, respectively. Results showed good performance of our electronic nose in qualitative and semi-quantitative measurement
  • Keywords
    arrays; biomedical equipment; desorption; electronic noses; fast Fourier transforms; medical signal processing; pattern recognition; radial basis function networks; FFT; RBF artificial neural network; active adsorbent sampling; dynamic signal extraction; human olfactory system; improved integrated electronic nose; indoor air; online VOC measurement; optimized arrays of sensors; pattern recognition; thermal desorption; volatile organic compounds; Artificial neural networks; Design optimization; Electronic noses; Humans; Olfactory; Pattern recognition; Sampling methods; Sensor arrays; Signal design; Volatile organic compounds; VOCs; dynamic measurement; electronic nose; enrichment; pattern recognition; sensor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
  • Conference_Location
    Shanghai
  • Print_ISBN
    0-7803-8741-4
  • Type

    conf

  • DOI
    10.1109/IEMBS.2005.1617079
  • Filename
    1617079