• DocumentCode
    647536
  • Title

    Modeling and analysis of the impact of nTMS on the EMG signal of laryngeal muscles

  • Author

    Vulevic, Zoran ; Bonkovic, Mirjana ; Cic, Maja

  • Author_Institution
    Dept. for Modelling & Intell. Syst., Univ. of Split, Split, Croatia
  • fYear
    2013
  • fDate
    18-20 Sept. 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper describes a methodology for the analysis of electromyographic signals. Biosignal measurements were performed with the application of electromagnetic stimulation of specific regions of the cerebral cortex and the response was recorded from electrodes hooked to laryngeal muscles. Analysis of the resulting signal is needed to identify markers in the measured signal relating to electromagnetic stimulus and thus provide background for mapping brain regions characteristic for the production of speech. Given the fact that the neurosurgical priority is to preserve these regions (eloquent or critical regions of the cortex) of injury during surgery because such injury can cause permanent damage, it is necessary to pay great attention to operation planning. This requires high-quality mapping. Methods of electrical stimulation produce results, but are applied intraoperatively. The aim is to develop a non-invasive method and for this purpose electromagnetic stimulation is more appropriate. The paper describes the model of stimulus propagation and acquisition as well as signal analysis using methods of principal components analysis for blind source separation and spectrogram analysis filtered with with wavelet packets. Software tool MATLAB is used for signal processing.
  • Keywords
    blind source separation; brain; electromyography; injuries; medical signal processing; neurophysiology; principal component analysis; surgery; transcranial magnetic stimulation; wavelet transforms; EMG signal; MATLAB; biomedical electrodes; biosignal measurements; blind source separation; brain region mapping; cerebral cortex; cortex critical regions; electromagnetic stimulation; electromyographic signal; high-quality mapping; injury; laryngeal muscles; nTMS; neurosurgical priority; noninvasive method; operation planning; permanent damage; principal components analysis; signal analysis; signal processing; spectrogram analysis; speech production; stimulus propagation model; surgery; wavelet packets; MUAPt; action potential; electromyography; eloquent cortex; nTMS; principal components analysis; short-time Fourier transform; spectrogram; wavelet packets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software, Telecommunications and Computer Networks (SoftCOM), 2013 21st International Conference on
  • Conference_Location
    Primosten
  • Type

    conf

  • DOI
    10.1109/SoftCOM.2013.6671887
  • Filename
    6671887