[The value of the pharyngeal airway pressure monitoring test in topodiagnosis of OSA].

To analyses the value of an improved methods of Muller's test, pharyngeal airway pressure monitoring test（PAPMT）, in topodiagnosis of OSA. One hundred and one cases with OSA（AHI≥5 times per hour） and 30 normal adults were included in the study. Under the pressure monitoring, the electronic laryngoscope were stayed at the palatopharyngeal and glossopharyngeum.

Automatic sleep staging using multi-dimensional feature extraction and multi-kernel fuzzy support vector machine.

This paper employed the clinical Polysomnographic (PSG) data, mainly including all-night Electroencephalogram (EEG), Electrooculogram (EOG) and Electromyogram (EMG) signals of subjects, and adopted the American Academy of Sleep Medicine (AASM) clinical staging manual as standards to realize automatic sleep staging. Authors extracted eighteen different features of EEG, EOG and EMG in time domains and frequency domains to construct the vectors according to the existing literatures as well as clinical experience. By adopting sleep samples self-learning, the linear combination of weights and parameters of multiple kernels of the fuzzy support vector machine (FSVM) were learned and the multi-kernel FSVM (MK-FSVM) was constructed.

Correlation study in respiration fluctuations during sleep stages.

Background: Healthy sleep can be characterized by several stages: wake, light, SWS, and REM sleep. The clinical experts find that the breath of subjects is different in these sleep stages, but such observation is lacking data supporting, The statistical research about investigating breathing patterns during sleep process will be helpful for the sleep and breathing domain.

Objective: The objective of the paper is to statistically analyze the respiratory characteristics during different sleep stages.