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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.

Original publication




Journal article


Conf Proc IEEE Eng Med Biol Soc

Publication Date





6573 - 6576


Apnea, Humans, Oxygen Consumption, Respiration, Signal Processing, Computer-Assisted, Sleep Apnea, Obstructive