Abstract: A computer for aiding determination of Obstructive Sleep Apnea (OSA) includes a storage device storing with a medical image and a central processing unit (CPU). The CPU executes a method for aiding determination of OSA. The method for aiding determination of OSA includes the following steps. The medical image is obtained. An upper airway model is established. A narrowest cross-section and a nasopharyngeal boundary cross-section are defined in the airway model. A cross-sectional area of the narrowest cross-section and a cross-sectional area of the nasopharyngeal boundary cross-section are calculated. A stenosis rate is calculated according to the cross-sectional area of the narrowest cross-section and the cross-sectional area of the nasopharyngeal boundary cross-section. The stenosis rate is provided. In addition, in the method for aiding determination of OSA, a respiratory flow field simulation may be further performed to obtain and provide a flow field pressure distribution of the upper airway model.

Abstract: A computer for aiding determination of Obstructive Sleep Apnea (OSA) includes a storage device storing with a medical image and a central processing unit (CPU). The CPU executes a method for aiding determination of OSA. The method for aiding determination of OSA includes the following steps. The medical image is obtained. An upper airway model is established. A narrowest cross-section and a nasopharyngeal boundary cross-section are defined in the airway model. A cross-sectional area of the narrowest cross-section and a cross-sectional area of the nasopharyngeal boundary cross-section are calculated. A stenosis rate is calculated according to the cross-sectional area of the narrowest cross-section and the cross-sectional area of the nasopharyngeal boundary cross-section. The stenosis rate is provided. In addition, in the method for aiding determination of OSA, a respiratory flow field simulation may be further performed to obtain and provide a flow field pressure distribution of the upper airway model.

Abstract: The apparatus comprises an ultra-wide band module or an electrocardiography module for gathering heartbeat signals of a human being. By sequentially obtaining average heart-rate values of a human being, and according to the features of the heart-rate values over a period of time, the method is utilized to determine whether the human being is going to a state of drowsiness.

Abstract: A two tier model for screening patients with sleep-disordered breathing includes collecting clinical information of a number of patients are collected, including gender, age, and body mass index, and performing form surveys including the Epworth Sleepiness Scale and the Snore Outcomes Survey to obtain a respiratory disturbance index (RDI). Receiver operating characteristics (ROC) are calculated with an initial strategy to maximize prediction sensitivity for patients with obstructive sleep apnea syndrome(OSAS). The associations between pulse oximeter data (desaturation index of 3%, DI3) against RDI was the second strategy to maximize prediction specificity.