Abstract
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 language | English |
|---|---|
| Pages (from-to) | 854-862 |
| Number of pages | 9 |
| Journal | IEEE Transactions on Biomedical Engineering |
| Volume | 54 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - May 2007 |
Bibliographical note
© Copyright 2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.Keywords
- coherence
- fictive locomotion
- motor studies
- multiwavelet
- time-frequency analysis
- MULTIPLE MORSE WAVELETS
- SIGNALS
- TRANSFORM
- ENSO