title: Detection of apnoeic and breathing activity through pole-zero analysis of the SpO2 signal.
abstract: A new method using autoregressive modelling and pole tracking is proposed to detect cyclical activity within the oxygen saturation signal, SpO2, for subjects with obstructive sleep apnoea (OSA). OSA is a sleep condition whereby the upper airway is obstructed and a cessation in respiration (apnoea) occurs. The three types of detected activity include: apnoea, mix, and normal breathing, where mix, refers to breathing with a low-frequency component. Overall classifications produced by the analysis are in close agreement with expert scoring of the database. Furthermore, the pole-zero analysis method allows, for the first time, the mix sections to be identified automatically.
authors.affiliation: Dept. of Eng. Sci., Oxford Univ., UK. lisa.lazareck@eng.ox.ac.uk
authors.forename: Lisa
authors.initials: L
authors.lastname: Lazareck
authors.forename: Lionel
authors.initials: L
authors.lastname: Tarassenko
mesh_terms: D006801:Humans; D010100:Oxygen / Q000097:blood*; D010101:Oxygen Consumption / Q000502:physiology*; D012143:Respiratory Physiological Phenomena; D012891:Sleep Apnea Syndromes / Q000097:blood / Q000175:diagnosis*
chemical_list: D010100:Oxygen