• DocumentCode
    2469006
  • Title

    Blood glucose optical bio-implant: Preliminary design guidelines

  • Author

    Trabelsi, A. ; Boukadoum, M. ; Siaj, M.

  • Author_Institution
    Univ. du Quebec a Montreal, Montréal, QC, Canada
  • fYear
    2010
  • fDate
    3-5 Nov. 2010
  • Firstpage
    150
  • Lastpage
    153
  • Abstract
    A preliminary investigation into the design of a near-infrared (NIR) optical bio-implant for accurate measurement of blood glucose concentration is reported. The use of an array of electrically pumped vertical-cavity surface-emitting laser (VCSEL) diodes at specific wavelengths for high-power narrow single-frequency emission leads to a high signal-to-noise ratio (SNR) in the measured NIR absorption spectrum while maximizing the sensor´s sensitivity to small absorption changes. A Quantum well infrared (QWI) photodetector senses the received optical power after passage through the blood sample, followed by an artificial neural network (ANN) for the measurement of glucose in a whole blood matrix. For an independent test set made with bovine blood, the optimal ANN topology for processing the two selected spectral bands yielded a standard error of prediction of 0.42 mM (i.e., 7.56 mg/dl) over the concentration range of 4-20 mM.
  • Keywords
    absorption coefficients; biomedical measurement; blood; infrared spectra; laser applications in medicine; medical signal processing; neural nets; photodetectors; prosthetics; quantum well devices; spectrochemical analysis; surface emitting lasers; VCSEL; absorption spectrum; artificial neural network; blood glucose concentration; blood glucose optical bioimplant; bovine blood; electrically pumped vertical-cavity surface-emitting laser diodes; high signal-noise ratio; high-power single-frequency emission; near-infrared optical bioimplant; optimal topology; quantum well infrared photodetector sense; sensor sensitivity; Absorption; Biomedical optical imaging; Blood; Optical sensors; Sugar; Vertical cavity surface emitting lasers; NIR spectroscopy; VCSEL; artificial neural network; blood glucose concentration; non-invasive measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Circuits and Systems Conference (BioCAS), 2010 IEEE
  • Conference_Location
    Paphos
  • Print_ISBN
    978-1-4244-7269-7
  • Electronic_ISBN
    978-1-4244-7268-0
  • Type

    conf

  • DOI
    10.1109/BIOCAS.2010.5709593
  • Filename
    5709593