• DocumentCode
    2900029
  • Title

    Efficient inductive powering of brain implanted sensors

  • Author

    Stocklin, Sebastian ; Volk, Tobias ; Yousaf, Adnan ; Albesa, Joan ; Reindl, Leonhard

  • Author_Institution
    Dept. of Microsyst. Eng. - IMTEK, Univ. of Freiburg, Freiburg, Germany
  • fYear
    2015
  • fDate
    13-15 April 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper describes a size and tissue absorption based comprehensive approach to optimize a pair of coils for the purpose of wireless powering of brain implanted sensors. In the first step, the optimum transmission frequency is determined by considering tolerable coil size, power transmission efficiency and tissue absorption effects. After modeling the important quantities at the frequency of interest, a numerical analysis is performed, revealing a set of coils suitable for efficient inductive powering. This numerical analysis was verified by both FEM simulation and concluding measurements. All simulations account for the layered structure of the human head, modeling the dielectric properties with Cole-Cole dispersion effects. Furthermore, a strategy of boosting power transmission efficiency is covered in simulation and measurement, particularly the application of a ferrite shielding to the transmission coil. In consequence, a link efficiency of 80% at a coil separation distance of 5mm and 20% at 20 mm using a 10mm planar receiving coil can be achieved, contributing to a higher integration density of multi-channel brain implanted sensors.
  • Keywords
    electroencephalography; finite element analysis; inductive sensors; prosthetics; wireless sensor networks; Cole-Cole dispersion effects; FEM simulation; dielectric properties; multichannel brain implanted sensors; optimum transmission frequency; power transmission efficiency; tissue absorption effects; tolerable coil size; Absorption; Brain modeling; Coils; Inductance; Numerical models; Optimization; Sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensors Applications Symposium (SAS), 2015 IEEE
  • Conference_Location
    Zadar
  • Type

    conf

  • DOI
    10.1109/SAS.2015.7133583
  • Filename
    7133583