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 (http://dx.doi.org/10.1111/j.1365-2869.2008.00690.x)
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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.
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Item type: Article ID code: 18388 Dates: DateEvent2008PublishedNotes: Special Issue: Abstracts of the 19th Congress of the European Sleep Research Society, 9-13 September 2008, Glasgow, UK Subjects: Technology > Engineering (General). Civil engineering (General) > Bioengineering
Technology > Engineering (General). Civil engineering (General)Department: Faculty of Engineering > Bioengineering
Faculty of Engineering > Electronic and Electrical Engineering
Faculty of Science > Pure and Applied ChemistryDepositing user: Ms Ashley Urie Date deposited: 29 Mar 2010 13:35 Last modified: 08 Apr 2024 17:34 URI: https://strathprints.strath.ac.uk/id/eprint/18388
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