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
Full text not available in this repository. (Request a copy from the Strathclyde author)Official URL: 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.
| 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) |
| 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: | 04 Oct 2012 13:03 |
| URI: | http://strathprints.strath.ac.uk/id/eprint/18388 |
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