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emvar matlab toolbox  (MathWorks Inc)


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    MathWorks Inc emvar matlab toolbox
    Emvar Matlab Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/emvar matlab toolbox/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    emvar matlab toolbox - by Bioz Stars, 2026-04
    90/100 stars

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    extended multivariate autoregressive modelling toolbox (emvar)  (MathWorks Inc)
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    Exemplary spectral maps of CMC, PDC and source localization for TAr. Results are organized in columns representing all three movement periods during BpS. Grand-averaged (A) CMC spectra with individual CMC spectra indicated through transparent lines. Grand-averaged source-localization results across all movement periods displayed in (B) dorsal view and (C) mid-sagittal view and (D) PDC spectra during BpS execution for all movement periods. Here, PDC in EEG-EMG direction is indicated through solid areas, whereas EMG-EEG direction is indicated through transparent areas of the same color. We used the <t>MATLAB</t> toolbox METH by Guido Nolte ( https://www.uke.de/english/departments-institutes/institutes/neurophysiology-and-pathophysiology/research/research-groups/index.html ) to illustrate source localization results in sections (B) and (C) .
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    Exemplary spectral maps of CMC, PDC and source localization for TAr. Results are organized in columns representing all three movement periods during BpS. Grand-averaged (A) CMC spectra with individual CMC spectra indicated through transparent lines. Grand-averaged source-localization results across all movement periods displayed in (B) dorsal view and (C) mid-sagittal view and (D) PDC spectra during BpS execution for all movement periods. Here, PDC in EEG-EMG direction is indicated through solid areas, whereas EMG-EEG direction is indicated through transparent areas of the same color. We used the MATLAB toolbox METH by Guido Nolte ( https://www.uke.de/english/departments-institutes/institutes/neurophysiology-and-pathophysiology/research/research-groups/index.html ) to illustrate source localization results in sections (B) and (C) .

    Journal: Scientific Reports

    Article Title: Corticomuscular interactions during different movement periods in a multi-joint compound movement

    doi: 10.1038/s41598-020-61909-z

    Figure Lengend Snippet: Exemplary spectral maps of CMC, PDC and source localization for TAr. Results are organized in columns representing all three movement periods during BpS. Grand-averaged (A) CMC spectra with individual CMC spectra indicated through transparent lines. Grand-averaged source-localization results across all movement periods displayed in (B) dorsal view and (C) mid-sagittal view and (D) PDC spectra during BpS execution for all movement periods. Here, PDC in EEG-EMG direction is indicated through solid areas, whereas EMG-EEG direction is indicated through transparent areas of the same color. We used the MATLAB toolbox METH by Guido Nolte ( https://www.uke.de/english/departments-institutes/institutes/neurophysiology-and-pathophysiology/research/research-groups/index.html ) to illustrate source localization results in sections (B) and (C) .

    Article Snippet: We employed the Extended Multivariate Autoregressive Modelling Toolbox (eMVAR) MATLAB (MathWorks) toolbox to estimate vector autoregressive (VAR) models of sets of signals, comprising of projected EEG components and EMG signals for all muscles and movement periods obtained during the first two steps of r-CMC analyses (for reference, please see paragraph: Regression-CMC analysis (r-CMC) above).

    Techniques: