Reference : Diagnosis of obstructive sleep apnoea and hypopnoea syndrome based on automatic analysis...
Scientific congresses and symposiums : Paper published in a book
Engineering, computing & technology : Multidisciplinary, general & others
http://hdl.handle.net/2268/93426
Diagnosis of obstructive sleep apnoea and hypopnoea syndrome based on automatic analysis of mandibular movements
English
Senny, Frédéric mailto [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Electronique, microsystèmes, mesures et instrumentation >]
Destiné, Jacques mailto [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Electronique, microsystèmes, mesures et instrumentation >]
Ansay, Pierre mailto [ > > ]
POIRRIER, Robert mailto [Centre Hospitalier Universitaire de Liège - CHU > > Neurologie Sart Tilman >]
Oct-2005
Proceedings of the 1st WASM Congress
Yes
No
International
88-7587-219-8
1st WASM Congress
October 15-18, 2005
World Association of Slep Medicine (WASM)
Berlin
Germany
[en] sleep apnea syndrome ; diagnosis ; automatic analysis
[en] Our study showed the potential of a surrogate of the oesophageal pressure,
the jaw motion, and a dedicated automatic analysis to diagnose the
obstructive sleep apnoea and hypopnoea syndrome (OSAHS). Twentyfour
patients were recorded in hospital settings and the jaw motion of
fifteen of them was also recorded at home with an ambulatory device. The
apnoea and hypopnoea index (AHI) of the gold standard, AHI_PSG, and
the two AHI from the automatic analysis of the jaw motion, AHI_H
(hospital) and AHI_A (ambulatory), were compared : AHI_PSG Vs
AHI_H showed good correlation (r = 0.97) and under-estimation (slope p
= 0.76). AHI_A Vs AHI_H revealed good reliability with r = 0.98 and
slope p = 0.99. Finally, AHI_PSG Vs AHI_A showed very good accuracy
of the diagnosis with sensitivity of 90% and specificity of 100%.
http://hdl.handle.net/2268/93426

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