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 journalArticle

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.
LanguageEnglish
Pages145-145
Number of pages0
JournalJournal of Sleep Research
Volume17
Issue numberS1
DOIs
Publication statusPublished - 2008

Fingerprint

Sleep Apnea Syndromes
Nose
Polysomnography
Obstructive Sleep Apnea
Therapeutics

Keywords

  • sleep apnoea
  • nasal airflow
  • sleep research
  • sleep
  • polysomnography

Cite this

Robertson, H.J. ; Soraghan, J.J. ; Idzikowski, C. ; Hill, L. ; Engleman, H.M. ; Conway, B.A. / Prediction of sleep apnoea episodes using nasal airflow. In: Journal of Sleep Research. 2008 ; Vol. 17, No. S1. pp. 145-145.
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Prediction of sleep apnoea episodes using nasal airflow. / Robertson, H.J.; Soraghan, J.J.; Idzikowski, C.; Hill, L.; Engleman, H.M.; Conway, B.A.

In: Journal of Sleep Research, Vol. 17, No. S1, 2008, p. 145-145.

Research output: Contribution to journalArticle

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AU - Conway, B.A.

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