• DocumentCode
    3684383
  • Title

    Efficient microstimulation of the brain: A parametric approach

  • Author

    Meghan Watson;Numa Dancause;Mohamad Sawan

  • Author_Institution
    Institute of Biomedical Engineering, Department of Electrical Engineering, Polytechnique Montreal, Canada
  • fYear
    2015
  • Firstpage
    2155
  • Lastpage
    2158
  • Abstract
    Microstimulation of brain tissue plays a key role in a variety of sensory prosthetics, clinical therapies and research applications. At present, tailoring the parameters of a stimulation signal to a specific goal relies heavily on parameters from literature. Optimization methods seek to improve tried and tested waveforms developed for specific purposes, however the fundamental understanding of how stimulation parameters interact and the effects these interactions have on brain tissue remains widely unknown. This study explores the interactions between parameters of the constant-current, biphasic square waveform with the intention of developing a stimulation efficient strategy. We find that, the traditional premise of a waveform´s effectiveness being dominated by its amplitude does apply, however exceptions are noted which may be of essential importance to the development of electrical stimuli in restrictive paradigms.
  • Keywords
    "Prosthetics","Visualization","Brain stimulation","Electromyography","Reliability engineering"
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
  • ISSN
    1094-687X
  • Electronic_ISBN
    1558-4615
  • Type

    conf

  • DOI
    10.1109/EMBC.2015.7318816
  • Filename
    7318816