Abstract
| Language | English |
|---|---|
| Pages | 145-145 |
| Number of pages | 0 |
| Journal | Journal of Sleep Research |
| Volume | 17 |
| Issue number | S1 |
| DOIs | |
| Publication status | Published - 2008 |
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Keywords
- sleep apnoea
- nasal airflow
- sleep research
- sleep
- polysomnography
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Prediction of sleep apnoea episodes using nasal airflow. / Robertson, H.J.; Soraghan, J.J.; Idzikowski, C.; Hill, L.; Engleman, H.M.; Conway, B.A.
In: Journal of Sleep Research, Vol. 17, No. S1, 2008, p. 145-145.Research output: Contribution to journal › Article
TY - JOUR
T1 - Prediction of sleep apnoea episodes using nasal airflow
AU - Robertson, H.J.
AU - Soraghan, J.J.
AU - Idzikowski, C.
AU - Hill, L.
AU - Engleman, H.M.
AU - Conway, B.A.
N1 - Special Issue: Abstracts of the 19th Congress of the European Sleep Research Society, 9-13 September 2008, Glasgow, UK
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
KW - sleep apnoea
KW - nasal airflow
KW - sleep research
KW - sleep
KW - polysomnography
UR - http://dx.doi.org/10.1111/j.1365-2869.2008.00690.x
U2 - 10.1111/j.1365-2869.2008.00690.x
DO - 10.1111/j.1365-2869.2008.00690.x
M3 - Article
VL - 17
SP - 145
EP - 145
JO - Journal of Sleep Research
T2 - Journal of Sleep Research
JF - Journal of Sleep Research
SN - 0962-1105
IS - S1
ER -