• DocumentCode
    3638490
  • Title

    A signal-agnostic compressed sensing acquisition system for wireless and implantable sensors

  • Author

    Fred Chen;Anantha P. Chandrakasan;Vladimir Stojanović

  • Author_Institution
    Department of EECS, Massachusetts Institute of Technology, Cambridge, 02139, USA
  • fYear
    2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A signal-agnostic compressed sensing (CS) acquisition system is presented that addresses both the energy and telemetry bandwidth constraints of wireless sensors. The CS system enables continuous data acquisition and compression that are suitable for a variety of biophysical signals. A hardware efficient realization of the CS sampling demonstrates data compression up to 40x on an EEG signal while maintaining low perceptual loss in the reconstructed signal. The proposed system also simultaneously relaxes the noise and resolution constraints of the analog front end (AFE) and ADC by nearly an order of magnitude. The CS sampling hardware is implemented in a 90 nm CMOS process and consumes 1.9 µW at 0.6 V and 20 kS/s.
  • Keywords
    "Signal resolution","Wireless communication","Wireless sensor networks","Noise","Sensor systems","Compressed sensing"
  • Publisher
    ieee
  • Conference_Titel
    Custom Integrated Circuits Conference (CICC), 2010 IEEE
  • ISSN
    0886-5930
  • Print_ISBN
    978-1-4244-5758-8
  • Electronic_ISBN
    2152-3630
  • Type

    conf

  • DOI
    10.1109/CICC.2010.5617383
  • Filename
    5617383