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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.

Item type: Article
ID code: 18388
Notes: Special Issue: Abstracts of the 19th Congress of the European Sleep Research Society, 9-13 September 2008, Glasgow, UK
Keywords: sleep apnoea, nasal airflow, sleep research, sleep, polysomnography, Bioengineering, Engineering (General). Civil engineering (General), Cognitive Neuroscience, Behavioral Neuroscience, Medicine(all)
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 Chemistry
Related URLs:
    Depositing user: Ms Ashley Urie
    Date Deposited: 29 Mar 2010 14:35
    Last modified: 05 Sep 2014 01:59
    URI: http://strathprints.strath.ac.uk/id/eprint/18388

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