• DocumentCode
    1703958
  • Title

    Circuits techniques and microsystems assembly for intracortical multichannel ENG recording

  • Author

    Gosselin, Benoit ; Sawan, Mohamad

  • Author_Institution
    Dept. of Electr. Eng., Ecole Polytech. de Montreal, Montreal, QC, Canada
  • fYear
    2009
  • Firstpage
    97
  • Lastpage
    104
  • Abstract
    We present dedicated circuit techniques and strategies to design and assemble dense multi-channel microsystems intended for ENG recording. Efficient neural interfacing circuits are proposed and high-fidelity data reduction strategies are demonstrated. Also, an on-chip power management scheme based on automatic biopotential detection is suggested. The presented strategy is expected to improve power consumption in multi-channel ENG sensors by an order of magnitude. Low-power design techniques, ultra-low-power neural signal processing circuits, and dedicated implementation strategies to achieve high integration density in multi-channel microsystems are also covered.
  • Keywords
    bioMEMS; sensors; signal processing; circuit techniques; high-fidelity data reduction; intracortical multichannel ENG recording; microsystem assembly; multichannel ENG sensors; neural interfacing circuits; neural signal processing circuits; on-chip power management; Assembly; Biomedical signal processing; Biosensors; Circuits; Energy consumption; Energy management; Signal design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Custom Integrated Circuits Conference, 2009. CICC '09. IEEE
  • Conference_Location
    San Jose, CA
  • Print_ISBN
    978-1-4244-4071-9
  • Electronic_ISBN
    978-1-4244-4073-3
  • Type

    conf

  • DOI
    10.1109/CICC.2009.5280894
  • Filename
    5280894