Literature DB >> 12148814

Frequency- and time-domain FEM models of EMG: capacitive effects and aspects of dispersion.

Nikolay S Stoykov1, Madeleine M Lowery, Allen Taflove, Todd A Kuiken.   

Abstract

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.

Entities:  

Mesh:

Year:  2002        PMID: 12148814     DOI: 10.1109/TBME.2002.800754

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  4 in total

Review 1.  Surface electromyogram signal modelling.

Authors:  K C McGill
Journal:  Med Biol Eng Comput       Date:  2004-07       Impact factor: 2.602

2.  Resting mechanomyography before and after resistance exercise.

Authors:  William P S McKay; Philip D Chilibeck; Brian L F Daku
Journal:  Eur J Appl Physiol       Date:  2007-10-02       Impact factor: 3.078

3.  Anatomically accurate model of EMG during index finger flexion and abduction derived from diffusion tensor imaging.

Authors:  Diego Pereira Botelho; Kathleen Curran; Madeleine M Lowery
Journal:  PLoS Comput Biol       Date:  2019-08-29       Impact factor: 4.475

4.  A multiple modulation synthesis method with high spatial resolution for noninvasive neurostimulation.

Authors:  Qiaoqin Xiao; Zhenyu Zhong; Xiaozheng Lai; Huabiao Qin
Journal:  PLoS One       Date:  2019-06-20       Impact factor: 3.240

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.