• DocumentCode
    2894977
  • Title

    A 0.013mm2 5μW DC-coupled neural signal acquisition IC with 0.5V supply

  • Author

    Muller, Rikky ; Gambini, Simone ; Rabaey, Jan M.

  • Author_Institution
    Univ. of California, Berkeley, CA, USA
  • fYear
    2011
  • fDate
    20-24 Feb. 2011
  • Firstpage
    302
  • Lastpage
    304
  • Abstract
    Recent success in brain-machine interfaces has provided hope for patients with spinal-cord injuries, Parkinson´s disease, and other debilitating neurological conditions, and has boosted interest in electronic recording of cortical signals. State-of-the-art recording solutions rely heavily on analog techniques at relatively high supply voltages to perform signal conditioning and filtering, leading to large silicon area and limited programmability. We present a neural interface in 65nm CMOS and operating at a 0.5V supply that obtains performance comparable or superior to state-of-the-art systems in a silicon area over 3x smaller. These results are achieved by using a scalable architecture that avoids on-chip passives and takes advantage of high-density logic. The use of 65nm CMOS eases integration with low-power digital systems, while the low supply voltage makes the design more compatible with wireless powering schemes.
  • Keywords
    CMOS digital integrated circuits; biomedical electronics; patient diagnosis; power electronics; signal conditioning circuits; signal detection; CMOS process; DC-coupled neural signal acquisition IC; Parkinson´s disease; brain-machine interface; cortical signal; electronic recording; high-density logic; low-power digital system; neurological condition; on-chip passive; power 5 muW; scalable architecture; signal conditioning; signal filtering; size 65 nm; spinal-cord injury; voltage 0.5 V; wireless powering scheme; Band pass filters; Digital filters; Electrodes; IIR filters; Noise; Solid state circuits;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Solid-State Circuits Conference Digest of Technical Papers (ISSCC), 2011 IEEE International
  • Conference_Location
    San Francisco, CA
  • ISSN
    0193-6530
  • Print_ISBN
    978-1-61284-303-2
  • Type

    conf

  • DOI
    10.1109/ISSCC.2011.5746328
  • Filename
    5746328