• DocumentCode
    1311579
  • Title

    LED-Based Optical Device for Chronic In Vivo Cerebral Blood Volume Measurement

  • Author

    Cox, Marshall P. ; Ma, Hongtao ; Bahlke, Matthias E. ; Beck, Jonathan H. ; Schwartz, Theodore H. ; Kymissis, Ioannis

  • Author_Institution
    Dept. of Electr. Eng., Columbia Univ., New York, NY, USA
  • Volume
    57
  • Issue
    1
  • fYear
    2010
  • Firstpage
    174
  • Lastpage
    177
  • Abstract
    We demonstrate a reflectivity-based cerebral blood volume sensor comprised of surface-mount light-emitting diodes on a flexible substrate with integrated photodetectors in a form factor suitable for direct brain contact and chronic implantation. This reflectivity monitor is able to measure blood flow through the change of the surface reflectivity and, through this mechanism, detect the cerebral-blood-volume changes associated with epileptic seizures with a signal-to-noise (SNR) response of 42 dB. The device is tested in an in vivo model confirming its compatibility and sensitivity. The data taken demonstrate that placing the sensor into direct brain contact improves the SNR by more than four orders of magnitude over current noncontact technologies.
  • Keywords
    blood flow measurement; brain; light emitting diodes; neurophysiology; photodetectors; volume measurement; LED based optical device; blood flow measurement; cerebral blood-volume changes; chronic implantation; chronic in vivo cerebral blood volume measurement; direct brain contact; epileptic seizures; integrated photodetectors; light emitting diodes; reflectivity based cerebral blood volume sensor; surface mount LED; surface reflectivity change; Blood flow; Epilepsy; Fluid flow measurement; In vivo; Light emitting diodes; Monitoring; Optical devices; Photodetectors; Reflectivity; Testing; Biomedical optical imaging; surface mounting; time–frequency analysis;
  • fLanguage
    English
  • Journal_Title
    Electron Devices, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9383
  • Type

    jour

  • DOI
    10.1109/TED.2009.2033652
  • Filename
    5325809