TY - JOUR
T1 - Frequency- and time-domain FEM models of EMG
T2 - Capacitive effects and aspects of dispersion
AU - Stoykov, Nikolay S.
AU - Lowery, Madeleine M.
AU - Taflove, Allen
AU - Kuiken, Todd A.
N1 - Funding Information:
Manuscript received July 17, 2001; revised March 20, 2002. This work was supported in part by the Whitaker Foundation under a Biomedical Engineering Research Grant, in part by the National Institute of Child and Human Development under Grant 1K08HD01224-01A1, and in part by the National Institute of Disability and Rehabilitation Research under Grant H133G990074-00 Asterisk indicates corresponding author. *N. S. Stoykov is with the Rehabilitation Institute of Chicago, IL 60611 USA and with the Department of Physical Medicine and Rehabilitation, Northwestern University, Chicago, IL 60611 USA (e-mail: n-stoykov@northwestern.edu).
PY - 2002
Y1 - 2002
N2 - Electromyography (EMG) simulations have traditionally been based on purely resistive models, in which capacitive effects are assumed to be negligible. Recent experimental studies suggest these assumptions may not be valid for muscle tissue. Furthermore, both muscle conductivity and permittivity are frequency-dependent (dispersive). In this paper, frequency-domain and time-domain finite-element models are used to examine the impact of capacitive effects and dispersion on the surface potential of a volume conductor. The results indicate that the effect of muscle capacitance and dispersion varies dramatically. Choosing low conductivity and high permittivity values in the range of experimentally reported data for muscle can cause displacement currents that are larger than conduction currents with corresponding reduction in surface potential of up to 50% at 100 Hz. Conductivity and permittivity values lying toward the middle of the reported range yield results which do not differ notably from purely resistive models. Also, excluding dispersion can also cause large error-up to 75 % in the high frequency range of the EMG. It is clear that there is a need to establish accurate values of both conductivity and permittivity for human muscle tissue in vivo in order to quantify the influence of capacitance and dispersion on the EMG signal.
AB - Electromyography (EMG) simulations have traditionally been based on purely resistive models, in which capacitive effects are assumed to be negligible. Recent experimental studies suggest these assumptions may not be valid for muscle tissue. Furthermore, both muscle conductivity and permittivity are frequency-dependent (dispersive). In this paper, frequency-domain and time-domain finite-element models are used to examine the impact of capacitive effects and dispersion on the surface potential of a volume conductor. The results indicate that the effect of muscle capacitance and dispersion varies dramatically. Choosing low conductivity and high permittivity values in the range of experimentally reported data for muscle can cause displacement currents that are larger than conduction currents with corresponding reduction in surface potential of up to 50% at 100 Hz. Conductivity and permittivity values lying toward the middle of the reported range yield results which do not differ notably from purely resistive models. Also, excluding dispersion can also cause large error-up to 75 % in the high frequency range of the EMG. It is clear that there is a need to establish accurate values of both conductivity and permittivity for human muscle tissue in vivo in order to quantify the influence of capacitance and dispersion on the EMG signal.
KW - EMG
KW - Finite-element methods
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U2 - 10.1109/TBME.2002.800754
DO - 10.1109/TBME.2002.800754
M3 - Article
C2 - 12148814
AN - SCOPUS:0036074799
SN - 0018-9294
VL - 49
SP - 763
EP - 772
JO - IRE transactions on medical electronics
JF - IRE transactions on medical electronics
IS - 8
ER -