Prediction of sleep apnoea episodes using nasal airflow

H.J. Robertson; J.J. Soraghan; C. Idzikowski; L. Hill; H.M. Engleman; B.A. Conway

doi:10.1111/j.1365-2869.2008.00690.x

Prediction of sleep apnoea episodes using nasal airflow

H.J. Robertson, J.J. Soraghan, C. Idzikowski, L. Hill, H.M. Engleman, B.A. Conway

Research output: Contribution to journal › Article › peer-review

Abstract

A sleep apnoea episode prediction system is presented that is based exclusively on the airflow signal. Detection of obstructive sleep apnoea (OSA) is generally carried out using polysomnography, with the data being analysed and a diagnosis formed. Being able to predict when a sleep apnoea episode is going to occur will allow for treatment to be applied before the episode becomes detrimental to the patient.

Original language	English
Pages (from-to)	145-145
Number of pages	0
Journal	Journal of Sleep Research
Volume	17
Issue number	S1
DOIs	https://doi.org/10.1111/j.1365-2869.2008.00690.x
Publication status	Published - 2008

Keywords

sleep apnoea
nasal airflow
sleep research
sleep
polysomnography

Access to Document

10.1111/j.1365-2869.2008.00690.x

http://dx.doi.org/10.1111/j.1365-2869.2008.00690.x

Cite this

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AU - Engleman, H.M.

AU - Conway, B.A.

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