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 , SpO(2), for subjects with Obstructive Sleep Apnoea (OSA). OSA is a sleep condition whereby the upper airway is obstructed and 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: Department of Engineering Science, University of Oxford, Oxford OX13PJ, United Kingdom. lisa.lazareck@eng.ox.ac.u
authors.forename: Lisa
authors.initials: L
authors.lastname: Lazareck
authors.forename: Lionel
authors.initials: L
authors.lastname: Tarassenko
mesh_terms: D001049:Apnea / Q000503:physiopathology*; D006801:Humans; D010101:Oxygen Consumption / Q000502:physiology*; D012119:Respiration; D012815:Signal Processing, Computer-Assisted; D020181:Sleep Apnea, Obstructive / Q000175:diagnosis / Q000503:physiopathology*