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Single-trial multi-wavelet coherence in application to neurophysiological time series.

Brittain, J-S., Halliday, D.M., Conway, B.A. and Nielsen, J.B. (2007) Single-trial multi-wavelet coherence in application to neurophysiological time series. IEEE Transactions on Biomedical Engineering, 54 (5). pp. 854-862. ISSN 0018-9294

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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.

Item Type: Article
Institution: The University of York
Academic Units: The University of York > Electronics (York)
Depositing User: York RAE Import
Date Deposited: 28 May 2009 13:51
Last Modified: 28 May 2009 13:51
Published Version: http://dx.doi.org/10.1109/TBME.2006.889185
Status: Published
Publisher: IEEE
Identification Number: 10.1109/TBME.2006.889185
URI: http://eprints.whiterose.ac.uk/id/eprint/6245

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