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)

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.

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• Item metadata

  Item type:	Article
  ID code:	18388
  Dates:	Date Event 2008 Published
  Notes:	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 Chemistry
  Depositing 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