• DocumentCode
    2134664
  • Title

    A high speed low power analog to digital converter for biomedical application

  • Author

    Zarifi, M.H. ; Frounchi, J. ; Asgarifar, S. ; Nia, M. Baradaran ; Dehkhoda, F.

  • Author_Institution
    Electr. & Comput. Eng. Dept., Univ. of Tabriz, Tabriz
  • fYear
    2008
  • fDate
    4-7 May 2008
  • Abstract
    There is an increasing trend in several biomedical applications such as ECG, PCG, EEG, neural recording, temperature sensing, and blood pressure for signals to be sensed in small portable wireless devices. In this way, analog to digital converters play the main role in these systems. This paper proposes a 10-bit 50-MSample/s pipeline analog to digital converter that has been designed and simulated with standard 1P6M 0.18 um CMOS process. Circuit techniques used include a dynamic comparator, differential operational amplifier and digital correction. A switched capacitor (SC) circuit is instantiated in each of the pipelined stages. Results comprehend a peak SNDR and ENOB of 59.2 dB and 9.54 bit, respectively with a full-scale 1 V sinusoidal input at 2.34375 MHz. Total power dissipation is 50 mW from 1.8 V.
  • Keywords
    CMOS integrated circuits; analogue-digital conversion; biomedical electronics; capacitor switching; integrated circuit design; 10-bit 50-M Sample/s pipeline; 1P6M CMOS process; ENOB; biomedical application; differential operational amplifier; digital correction; dynamic comparator; frequency 2.34375 MHz; full-scale IV sinusoidal input; high speed analog-digital converter; low power analog-digital converter; peak SNDR; switched capacitor circuit; total power dissipation; Analog-digital conversion; Blood pressure; Brain modeling; CMOS process; Circuit simulation; Electrocardiography; Electroencephalography; Pipelines; Temperature sensors; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering, 2008. CCECE 2008. Canadian Conference on
  • Conference_Location
    Niagara Falls, ON
  • ISSN
    0840-7789
  • Print_ISBN
    978-1-4244-1642-4
  • Electronic_ISBN
    0840-7789
  • Type

    conf

  • DOI
    10.1109/CCECE.2008.4564743
  • Filename
    4564743