Single-trial multiwavelet coherence in application to neurophysiological time series

John-Stuart Brittain, David M. Halliday, Bernard A. Conway, Jens Bo Nielsen

Research output: Contribution to journalArticlepeer-review


A method of single-trial coherence analysis is presented, through the application of continuous muldwavelets. 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.

Original languageEnglish
Pages (from-to)854-862
Number of pages9
JournalIEEE Transactions on Biomedical Engineering
Issue number5
Publication statusPublished - May 2007

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  • coherence
  • fictive locomotion
  • motor studies
  • multiwavelet
  • time-frequency analysis
  • ENSO

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