• DocumentCode
    3011348
  • Title

    Simulation of Intramuscular EMG Signal Detection using Implantable MyoElectric Sensors

  • Author

    Lowery, Madeleine M. ; Weir, Richard F ff ; Kuiken, Todd A.

  • Author_Institution
    Neural Eng. Center for Artificial Limbs, Rehabilitation Inst., Chicago, IL
  • fYear
    2005
  • fDate
    16-19 March 2005
  • Firstpage
    360
  • Lastpage
    363
  • Abstract
    The volume conduction of intramuscular EMG signals recorded using implanted electrodes was examined using model simulation. Local effects due to electrode geometry, material properties including fibrocollagenous encapsulation tissue, and electrode orientation were investigated. Muscle fiber and motor unit action potentials were simulated using two different volume conductor models a finite element (FE) model that was used to explore the influence of the surrounding tissue properties, and an analytical infinite volume conductor model, used to explore the approximate pick-up volume of the electrode. The amplitude of simulated action potentials progressively increased as the conducting electrode poles, non-conducting electrode casing and highly resistive encapsulation tissue were added to the model. The pick-up volume of the electrode was estimated by simulating muscle fiber action potentials from 20,000 muscle fibers randomly located throughout the muscle. Changing the orientation of the electrode with respect to the fiber direction reduced the selectivity of the electrode and altered the shape of the pick-up volume. As the angle of rotation was increased from 0deg to 22.5deg and 45deg, the pick-up volume of the electrode and the shape of the surrounding isopotential contours became progressively wider and flatter. The estimated pick-up range of the IMES electrode, assuming a cylindrical muscle, was 4.8 mm, 6.2 mm and 7.5 mm for electrode orientations of 0deg, 22.5deg and 45deg, respectively
  • Keywords
    electric sensing devices; electromyography; finite element analysis; medical signal detection; medical signal processing; microelectrodes; physiological models; IMES electrode; analytical infinite volume conductor model; electrode geometry; electrode orientation; fibrocollagenous encapsulation tissue; finite element model; implantable myoelectric sensors; implanted electrodes; intramuscular EMG signal detection; motor unit action potential; muscle fiber action potential; volume conduction; Conducting materials; Electrodes; Electromyography; Encapsulation; Geometry; Material properties; Muscles; Optical fiber sensors; Shape; Signal detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Engineering, 2005. Conference Proceedings. 2nd International IEEE EMBS Conference on
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    0-7803-8710-4
  • Type

    conf

  • DOI
    10.1109/CNE.2005.1419632
  • Filename
    1419632