title: Identifying stable phase coupling associated with cerebral autoregulation using the synchrosqueezed cross-wavelet transform and low oscillation morlet wavelets.
abstract: A novel method of identifying stable phase coupling behavior of two signals within the wavelet transform time-frequency plane is presented. The technique employs the cross-wavelet transform to provide a map of phase coupling followed by synchrosqueezing to collect the stable phase regime information. The resulting synchrosqueezed cross-wavelet transform method (Synchro-CrWT) is illustrated using a synthetic signal and then applied to the analysis of the relationship between biosignals used in the analysis of cerebral autoregulation function.
authors.forename: Paul S
authors.initials: PS
authors.lastname: Addison
mesh_terms: D001794:Blood Pressure / Q000502:physiology; D002540:Cerebral Cortex / Q000502:physiology*; D006706:Homeostasis; D006801:Humans; D012815:Signal Processing, Computer-Assisted; D013458:Sulfur Dioxide / Q000032:analysis; D058067:Wavelet Analysis
chemical_list: D013458:Sulfur Dioxide