• DocumentCode
    2397411
  • Title

    High efficiency electrodes for deep brain stimulation

  • Author

    Grill, Warren M., Sr. ; Wei, Xuefeng F.

  • Author_Institution
    Dept. of Biomed. Eng., Duke Univ., Durham, NC, USA
  • fYear
    2009
  • fDate
    3-6 Sept. 2009
  • Firstpage
    3298
  • Lastpage
    3301
  • Abstract
    Deep brain stimulators are powered with primary cell batteries and require surgical replacement when they are depleted. We sought to decrease power consumption, and thereby increase device lifetime by increasing neuronal stimulating efficiency with novel electrode designs. Our hypothesis was that high-perimeter electrodes that increase the variation of current density on their surface would generate larger activating functions for surrounding neurons, hence increasing stimulation efficiency. We implemented finite element models of cylindrical DBS electrodes with conventional circular perimeters, with serpentine perimeters, and with segmented contacts. The high-perimeter electrodes significantly increased the variation of current density on the electrode surface. We randomly positioned a population of 100 model axons around the electrodes and quantified neural activation with 100 mus cathodic stimuli. Input-output curves of percentage axons activated as a function of stimulation intensity indicated that the novel electrode geometries decreased power consumption by up to ~20% for axons parallel to the electrode and up to ~35% for axons perpendicular to the electrode. Reduced power consumption achieved with these designs will reduce the costs and risks associated with surgeries to replace depleted stimulators.
  • Keywords
    biomedical electrodes; brain; current density; finite element analysis; neurophysiology; power consumption; primary cells; prosthetic power supplies; current density; cylindrical DBS electrodes; deep brain stimulation; finite element model; high efficiency electrodes; high-perimeter electrodes; power consumption; primary cell batteries; surgical replacement; Algorithms; Animals; Axons; Brain; Computer Simulation; Deep Brain Stimulation; Electrodes; Electrodes, Implanted; Electrophysiology; Equipment Design; Finite Element Analysis; Humans; Myelin Sheath; Neurons;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-3296-7
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2009.5333774
  • Filename
    5333774