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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.

Original publication

DOI

10.1109/TBME.2006.889185

Type

Journal article

Journal

IEEE Trans Biomed Eng

Publication Date

05/2007

Volume

54

Pages

854 - 862

Keywords

Animals, Cats, Data Interpretation, Statistical, Fourier Analysis, Humans, Locomotion, Microelectrodes, Models, Theoretical, Motor Neurons, Neurophysiology, Signal Processing, Computer-Assisted, Synapses, Time Factors