• DocumentCode
    2495206
  • Title

    Approaches for the efficient extraction and processing of biopotentials in implantable neural interfacing microsystems

  • Author

    Gosselin, Benoit

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Laval Univ., Quebec City, QC, Canada
  • fYear
    2011
  • fDate
    Aug. 30 2011-Sept. 3 2011
  • Firstpage
    5855
  • Lastpage
    5859
  • Abstract
    The accelerating pace of research in neurosciences and rehabilitation engineering has created a considerable demand for implantable microsystems capable of interfacing with large groups of neurons. Such microsystems must provide multiple recording channels incorporating low-noise amplifiers, filters, data converters, neural signal processing circuitry, power management units and low-power transmitters to extract and wirelessly transfer the relevant neural data outside the body for computing and storage. This paper is reviewing several electronic recording strategies to address the challenge of operating large numbers of channels to gather the neural information from several neurons within very low-power constraints.
  • Keywords
    analogue-digital conversion; biomedical electronics; low noise amplifiers; low-power electronics; medical signal processing; neurophysiology; biopotential; data converters; electronic recording; filters; implantable neural interfacing microsystem; low-noise amplifiers; low-power constraints; low-power transmitters; multiple recording channels; neural data; neural information; neural signal processing circuitry; neurons; power management units; rehabilitation engineering; Bandwidth; Cutoff frequency; Electrodes; Noise; Power demand; Time division multiplexing; Action Potentials; Algorithms; Animals; Equipment Design; Equipment Failure Analysis; Humans; Information Storage and Retrieval; Miniaturization; Neurons; Prostheses and Implants; Signal Processing, Computer-Assisted;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
  • Conference_Location
    Boston, MA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4121-1
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2011.6091448
  • Filename
    6091448