title: A method for filtering respiratory oscillations.
abstract: We present a method based on dynamical systems theory which can be used to filter time series in a way which is superior to classical Fourier decomposition. This method is applied to three data-sets, taken from respiratory measurements of two children in quiet and REM sleep. Our purpose is to filter the several different oscillatory mechanisms which operate, in order to provide clearer signals on which further analysis and diagnosis can be based.
authors.affiliation: Mathematical Institute, Oxford University, U.K.
authors.forename: A C
authors.initials: AC
authors.lastname: Fowler
authors.forename: G
authors.initials: G
authors.lastname: Kember
authors.forename: P
authors.initials: P
authors.lastname: Johnson
authors.forename: S J
authors.initials: SJ
authors.lastname: Walter
authors.forename: P
authors.initials: P
authors.lastname: Fleming
authors.forename: M
authors.initials: M
authors.lastname: Clements
mesh_terms: D006801:Humans; D008954:Models, Biological; D015656:Respiratory Mechanics; D012143:Respiratory Physiological Phenomena; D012895:Sleep, REM / Q000502:physiology*