Development of Sensor Prototypes and Associated Electronics

  • Syed Kamrul Islam
  • Mohammad Rafiqul Haider


Technological improvements in fabrication of sensors and microfabrication processes have resulted in the development of high-resolution, high-sensitivity, inexpensive, and low-power microsensors for industrial, medical, security, and environmental applications. Ongoing research reveals the achievement of different sensor prototypes and smart electronics for monitoring or inspection of various physical, biomedical, or chemical substances. Design and development of a smart sensor system necessitate considerations of several parameters for reliable operation of the system. This chapter addresses two important design parameters such as power management and temperature compensation of the integrated electronic system. This will be followed by a discussion on a sensor system developed in the recent years.


Negative Temperature Coefficient Pass Element Process Corner Error Amplifier Standard CMOS Process 
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  1. 1.
    Gudnason G, Bruun E (2000) CMOS circuit design for RF sensors. Kluwer, Boston, MAGoogle Scholar
  2. 2.
    Williams CB, Yates RB (1995) Analysis of a micro-electric generator for microsystems. Transducers ‘95/Euro-Sensors IX 1:369–372Google Scholar
  3. 3.
    Starner T (1996) Human powered wearable computing. IBM Syst J 35(3 and 4):618–629CrossRefGoogle Scholar
  4. 4.
    Hayakawa M (1991) Electronic wristwatch with generator. U.S. Patent 5,001,685, Mar 1991Google Scholar
  5. 5.
    Chandrakashan A, Amirtharajah R, Cho SH, Goodman J, Konduri G, Kulik J, Rabiner W, Wang A (1999) Design considerations for distributed microsensor systems. IEEE CICC, San Diego, CA, USA, pp 279–286Google Scholar
  6. 6.
    Kanellos M. Solar cell breaks efficiency records. Online:
  7. 7.
    Bouvier J, Thorigne Y, Hussein SA, Revillet M, Senn P (1997) A smart card CMOS circuit with magnetic power and communications interface. IEEE ISSCC, pp 296–297Google Scholar
  8. 8.
    Li Z (2005) Power management integrated circuit design, functionality analysis and applications. Ph. D. Dissertation, The University of Texas at ArlingtonGoogle Scholar
  9. 9.
    Gray PR, Hurst PJ, Lewis SH, Meyer RG (2001) Analysis and design of analog integrated circuits, 4th edn. Wiley, New YorkGoogle Scholar
  10. 10.
    Lee BS (1999) Technical review of low dropout voltage regulator operation and performance. Texas Instruments Application Notes, SLVA072, Aug 1999Google Scholar
  11. 11.
    King BM (2000) Advantages of using PMOS-type low-dropout linear regulators in battery applications. Texas Instruments Analog Appl J 16–21Google Scholar
  12. 12.
    Wilson GS, Zhang Y, Reach G, Moattisirat D, Poitout V, Thevenot DR, Lemonnier F, Klein JC (1992) Progress toward the development of an implantable sensor for glucose. Clin Chem 38(9):1613–1617Google Scholar
  13. 13.
    Lemke K, Lustermann R (1991) Electrocatalytic glucose sensor for subcutaneous application. Bioelectrochem Bioenerg 26(1):43–61CrossRefGoogle Scholar
  14. 14.
    Jaffari SA, Turner APF (1995) Recent advances in amperometric glucose biosensors for in-vivo monitoring. Physiol Meas 16(1):1–15CrossRefGoogle Scholar
  15. 15.
    Ohashi E, Karube I (1995) Development of a thin membrane glucose sensor using P-type crystalline chitin for implantable biosensor. J Biotechnol 40:13–19CrossRefGoogle Scholar
  16. 16.
    Renard E (2004) Implantable glucose sensors for diabetes monitoring. Minim Invasive Ther Allied Technol 13(2):78–86CrossRefGoogle Scholar
  17. 17.
    Baker DA, Gough DA (1995) A continuous, implantable lactate sensor. Anal Chem 67(9):1536–1540CrossRefGoogle Scholar
  18. 18.
    Hierold C, Clasbrummel B, Behrend D, Scheiter T, Steger M, Oppermann K, Kapels H, Landgraf E, Wenzel D, Etzrodt D (1999) Low power integrated pressure sensor system for medical applications. Sens Actuators 73:58–67CrossRefGoogle Scholar
  19. 19.
    Eichenbaum H, Pettijohn D, Delucia AM, Chorover SL (1977) Compact miniature microelectride-telemetry system. Physiol Behav 18:1175–1178CrossRefGoogle Scholar
  20. 20.
    Pinkwart C, Borchers HW (1987) Miniature three-function transmitting system for single neuron recording, wireless brain stimulation, and marking. J Neurosci Methods 20:341–352CrossRefGoogle Scholar
  21. 21.
    Neider A (2000) Miniature stereo radio transmitter system for simultaneous recording of multiple single-neuron signals from behaving owls. J Neurosci Methods 101:157–164CrossRefGoogle Scholar
  22. 22.
    Obeid I, Nicolelis MAL, Wolf PD (2004) A multichannel telemetry system for single unit neural recordings. J Neurosci Methods 133:33–38CrossRefGoogle Scholar
  23. 23.
    Parramon J, Doguet P, Martin D, Verleyssen M, Munoz R, Leija L, Valderrama E (1997) ASIC-based batteryless implantable telemetry microsystem for recording purposes. 19th International IEEE-EMBS conference, Chicago, IL, pp 2225–2228, Oct. 30–Nov. 2 1997Google Scholar
  24. 24.
    Johannessen EA, Wang L, Cui L, Tang T, Ahmadian M, Astaras A, Reid S, Murray A, Flynn B, Beaumont S, Cumming D, Cooper J (2004) Implementation of multichannel sensors for remote biomedical measurements in a microsystem formats. IEEE Trans Biomed Eng 51(3):525–535CrossRefGoogle Scholar
  25. 25.
    Mohseni P, Najafi K, Eliades SJ, Wang X (2005) Wireless multichannel biopotential recording using an integrated FM telemetry circuit. IEEE Trans Neural Syst Rehabil Eng 13(3):263–271CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  1. 1.Department of Electrical and Computer EngineeringUniversity of TennesseeKnoxvilleUSA
  2. 2.Department of Engineering ScienceSonoma State UniversityRohnert ParkUSA

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