Prediction of sleep apnoea episodes using nasal airflow

Tools

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

Full text not available in this repository.Request a copy

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.

ORCID iDs

Robertson, H.J., Soraghan, J.J. ORCID logoORCID: https://orcid.org/0000-0003-4418-7391, Idzikowski, C., Hill, L., Engleman, H.M. and Conway, B.A. ORCID logoORCID: https://orcid.org/0000-0002-0069-0131;
CORE (COnnecting REpositories)