• DocumentCode
    651497
  • Title

    A signal-specific approach for reducing SAR-ADC power consumption

  • Author

    Chiang, Ken Chia-Han ; Artan, N.S. ; Chao, H. Jonathan

  • Author_Institution
    Polytech. Inst. of New York Univ., New York, NY, USA
  • fYear
    2013
  • fDate
    Oct. 31 2013-Nov. 2 2013
  • Firstpage
    278
  • Lastpage
    281
  • Abstract
    A novel power optimization technique, called adaptive tracking is proposed in this paper for successive approximation analog-to-digital converters aiming implantable device applications. A SAR-ADC can easily be equipped with the proposed tracking technique by a minor modification in its digital circuitry (SAR). This work relies on the similarity of consecutive sample values in band-limited bio-potentials. The proposed adaptive tracking scheme can reduce power consumption of a wide variety of SAR-ADCs. In particular, we show that the tracking scheme can save 30% of power in a conventional SAR-ADC, 31% of power in those using binary SAR-ADCs using a weighted DAC with split MSB capacitor, and 8% of power in those using charge sharing DAC.
  • Keywords
    analogue-digital conversion; bioelectric potentials; biomedical electronics; biomedical equipment; capacitors; prosthetics; SAR-ADC power consumption; adaptive tracking scheme; adaptive tracking technique; analog-to-digital converter; band-limited biopotentials; binary SAR-ADC; digital circuitry; implantable device applications; power consumption reduction; power optimization technique; signal-specific approach; split MSB capacitor; weighted DAC; Approximation methods; Capacitors; Clocks; Detectors; Implants; Power demand; Signal resolution; ADC; SAR; analog signals; tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Circuits and Systems Conference (BioCAS), 2013 IEEE
  • Conference_Location
    Rotterdam
  • Type

    conf

  • DOI
    10.1109/BioCAS.2013.6679693
  • Filename
    6679693