• DocumentCode
    1217871
  • Title

    Independence of myoelectric control signals examined using a surface EMG model

  • Author

    Lowery, Madeleine M. ; Stoykov, Nikolay S. ; Kuiken, Todd A.

  • Author_Institution
    Res. Dept., Rehabilitation Inst. of Chicago, IL, USA
  • Volume
    50
  • Issue
    6
  • fYear
    2003
  • fDate
    6/1/2003 12:00:00 AM
  • Firstpage
    789
  • Lastpage
    793
  • Abstract
    The detection volume of the surface electromyographic (EMG) signal was explored using a finite-element model, to examine the feasibility of obtaining independent myoelectric control signals from regions of reinnervated muscle. The selectivity of the surface EMG signal was observed to decrease with increasing subcutaneous fat thickness. The results confirm that reducing the interelectrode distance or using double-differential electrodes can increase surface EMG selectivity in an inhomogeneous volume conductor. More focal control signals can be obtained, at the expense of increased variability, by using the mean square value, rather than the root mean square or average rectified value.
  • Keywords
    artificial limbs; electromyography; finite element analysis; medical control systems; physiological models; average rectified value; double-differential electrodes; inhomogeneous volume conductor; interelectrode distance; mean square value; more focal control signals; myoelectric control signals; myoelectric prostheses; reinnervated muscle regions; root mean square; surface EMG model; Analytical models; Biomedical engineering; Conductors; Crosstalk; Electrodes; Electromyography; Finite element methods; Muscles; Prosthetics; Skin; Action Potentials; Adipose Tissue; Arm; Artifacts; Bone and Bones; Electrodes; Electromagnetic Fields; Electromyography; Feasibility Studies; Finite Element Analysis; Humans; Models, Biological; Muscle Fibers; Muscle, Skeletal; Reproducibility of Results; Sensitivity and Specificity;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2003.812152
  • Filename
    1203819