Change search
ReferencesLink to record
Permanent link

Direct link
Treatment of obstructive sleep apnea syndrome by monitoring patients airflow signals
KTH, Superseded Departments, Physics.
2000 (English)In: Pattern Recognition Letters, ISSN 0167-8655, Vol. 21, no 3, 277-281 p.Article in journal (Refereed) Published
Abstract [en]

The breathing patterns from sleeping persons suffering from sleep apnea have been measured. A method based on the neural network-like O-algorithm has been applied to capture the onset of sleep apnea. This method is suggested as an indicator for early on-line detection of obstructions in the upper airway. Results from the system tested with airflow signals recorded from five patients during sleep indicate acceptable performance and treatment for developing apnea is possible.

Place, publisher, year, edition, pages
2000. Vol. 21, no 3, 277-281 p.
Keyword [en]
sleep apnea syndrome, O-algorithm, neural networks, wavelet transform
URN: urn:nbn:se:kth:diva-19621ISI: 000085862900009OAI: diva2:338313
QC 20100525Available from: 2010-08-10 Created: 2010-08-10Bibliographically approved

Open Access in DiVA

No full text

Search in DiVA

By author/editor
Lindblad, Thomas
By organisation
In the same journal
Pattern Recognition Letters

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 14 hits
ReferencesLink to record
Permanent link

Direct link