title: Linear and non-linear interdependence of EEG and HRV frequency bands in human sleep.
abstract: The characterisation of functional interdependencies of the autonomic nervous system (ANS) stands an evergrowing interest to unveil electroencephalographic (EEG) and Heart Rate Variability (HRV) interactions. This paper presents a biosignal processing approach as a supportive computational resource in the estimation of sleep dynamics. The application of linear, non-linear methods and statistical tests upon 10 overnight polysomnographic (PSG) recordings, allowed the computation of wavelet coherence and phase locking values, in order to identify discerning features amongst the clinical healthy subjects. Our findings showed that neuronal oscillations θ, α and σ interact with cardiac power bands at mid-to-high rank of coherence and phase locking, particularly during NREM sleep stages.
authors.forename: Ramiro
authors.initials: R
authors.lastname: Chaparro-Vargas
authors.forename: P Chamila
authors.initials: PC
authors.lastname: Dissanayaka
authors.forename: Chanakya Reddy
authors.initials: CR
authors.lastname: Patti
authors.forename: Claudia
authors.initials: C
authors.lastname: Schilling
authors.forename: Michael
authors.initials: M
authors.lastname: Schredl
authors.forename: Dean
authors.initials: D
authors.lastname: Cvetkovic
mesh_terms: D001341:Autonomic Nervous System / Q000502:physiology; D004569:Electroencephalography; D064368:Healthy Volunteers; D006339:Heart Rate / Q000502:physiology; D006801:Humans; D017286:Polysomnography; D012890:Sleep / Q000502:physiology*; D012894:Sleep Stages; D058067:Wavelet Analysis