Contents I. Introduction
Vocational safety has been drawn great attention with the development of smart industry. Millions of people died because of the vocational accidents in the past decades. It is estimated statistically that fatigue, tiredness and high stress directly lead to slow reaction and further cause vocational accidents. It has been proved that lack of high sleep quality is a main cause of the above-mentioned symptoms [1]. Because of the popularity of obesity and high working pressure among citizens, sleep apnea becomes more and more common. However, the drawback of sleep apnea seems not treated seriously. Besides, the diagnosis of sleep apnea nowadays is mainly by monitoring the sleep quality. Electroencephalography (EEG, brain movement), electromyography (EMG, muscle movement) and electrooculogram (eye movement) are some typical technics to detect sleep apnea. However, these technics require patients to stay in hospital and sleep normally. However, it is difficult to sleep as normal as in home, which reduces the accuracy of diagnosis significantly. Besides, the cost of the facilities is high and thus increases the diagnosis cost, which blocks the desirability of the patients to be diagnosed.
