Single-trial multiwavlet coherence in application to neurophysiological time series

J.S. Brittain, D.M. Halliday, B.A. Conway, J.B. Nielsen

    Research output: Contribution to journalArticle

    33 Citations (Scopus)

    Abstract

    A method of single-trial coherence analysis is presented, through the application of continuous multiwavelets. Multiwavelets allow the construction of spectra and bivariate statistics such as coherence within single trials. Spectral estimates are made consistent through optimal time-frequency localization and smoothing. The use of multiwavelets is considered along with an alternative single-trial method prevalent in the literature, with the focus being on statistical, interpretive and computational aspects. The multiwavelet approach is shown to possess many desirable properties, including optimal conditioning, statistical descriptions and computational efficiency. The methods are then applied to bivariate surrogate and neurophysiological data for calibration and comparative study. Neurophysiological data were recorded intracellularly from two spinal motoneurones innervating the posterior biceps muscle during fictive locomotion in the decerebrated cat.
    LanguageEnglish
    Pages854-862
    Number of pages8
    JournalIEEE Transactions on Biomedical Engineering
    Volume54
    Issue number5
    DOIs
    Publication statusPublished - 2007

    Fingerprint

    Time series
    Computational efficiency
    Muscle
    Statistics
    Calibration

    Keywords

    • biomedicine
    • bioengineering
    • coherence
    • fictive locomotion
    • motor studies
    • multiwavelet
    • time-frequency analysis

    Cite this

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    title = "Single-trial multiwavlet coherence in application to neurophysiological time series",
    abstract = "A method of single-trial coherence analysis is presented, through the application of continuous multiwavelets. Multiwavelets allow the construction of spectra and bivariate statistics such as coherence within single trials. Spectral estimates are made consistent through optimal time-frequency localization and smoothing. The use of multiwavelets is considered along with an alternative single-trial method prevalent in the literature, with the focus being on statistical, interpretive and computational aspects. The multiwavelet approach is shown to possess many desirable properties, including optimal conditioning, statistical descriptions and computational efficiency. The methods are then applied to bivariate surrogate and neurophysiological data for calibration and comparative study. Neurophysiological data were recorded intracellularly from two spinal motoneurones innervating the posterior biceps muscle during fictive locomotion in the decerebrated cat.",
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    author = "J.S. Brittain and D.M. Halliday and B.A. Conway and J.B. Nielsen",
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    Single-trial multiwavlet coherence in application to neurophysiological time series. / Brittain, J.S.; Halliday, D.M.; Conway, B.A.; Nielsen, J.B.

    In: IEEE Transactions on Biomedical Engineering, Vol. 54, No. 5, 2007, p. 854-862.

    Research output: Contribution to journalArticle

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    AU - Halliday, D.M.

    AU - Conway, B.A.

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