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Open Access research that challenges the mind...

The Strathprints institutional repository is a digital archive of University of Strathclyde research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including those from the School of Psychological Sciences & Health - but also papers by researchers based within the Faculties of Science, Engineering, Humanities & Social Sciences, and from the Strathclyde Business School.

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Prediction of sleep apnoea episodes using nasal airflow

Robertson, H.J. and Soraghan, J.J. and Idzikowski, C. and Hill, L. and Engleman, H.M. and Conway, B.A. (2008) Prediction of sleep apnoea episodes using nasal airflow. Journal of Sleep Research, 17 (S1). p. 145. ISSN 0962-1105

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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.