• DocumentCode
    671144
  • Title

    Analytical modeling and simulation of a CMOS-MEMS cantilever based CO2 sensor for medical applications

  • Author

    Mirza, Abdulrahman ; Hamid, Nor Hisham ; Khir, M. H. Md ; Dennis, J.O. ; Ashraf, Khalid ; Jan, M. Tariq ; Shoaib, Mohammed

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Univ. Technologi PETRONAS, Tronoh, Malaysia
  • fYear
    2013
  • fDate
    25-27 Sept. 2013
  • Firstpage
    70
  • Lastpage
    73
  • Abstract
    Capnometers measure the concentration of CO2 in exhaled breath which could prevent serious problems in all areas of healthcare, from pre-hospital to extended care, and everywhere in between. Presently, high cost, big size and high power usage limit the scope of the conventional capnometers and their adaption. To overcome these issues, a CMOS MEMS micro-cantilever has been proposed for capnometric applications. Analytical modeling and simulation of the microcantilever sensor is carried out to determine its resonance frequency and sensitivity. According to the developed analytical model and simulation results, the sensor has 1% difference in the resonance frequency. The sensitivity of the sensor is determined analytically at different thicknesses of the polymer coating layer. The sensitivity of the sensor is 3.18 Hz/100ppm at 5 μm polymer layer thickness.
  • Keywords
    CMOS integrated circuits; cantilevers; carbon compounds; gas sensors; microsensors; polymers; CMOS MEMS cantilever; CO2; CO2 sensor; analytical modeling; capnometric applications; medical applications; microcantilever sensor; polymer coating layer; resonance frequency; sensitivity; size 5 mum; Analytical models; Frequency measurement; Mathematical model; Monitoring; Polymers; Resonant frequency; Sensitivity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Micro and Nanoelectronics (RSM), 2013 IEEE Regional Symposium on
  • Conference_Location
    Langkawi
  • Print_ISBN
    978-1-4799-1181-3
  • Type

    conf

  • DOI
    10.1109/RSM.2013.6706475
  • Filename
    6706475