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

DOI

10.1109/iembs.2006.260891

Type

Journal article

Journal

Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference

Publication Date

01/2006

Volume

Suppl

Pages

6573 - 6576

Addresses

Department of Engineering Science, University of Oxford, Oxford OX13PJ, United Kingdom. lisa.lazareck@eng.ox.ac.u

Keywords

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