Design And Implementation Of Low-load Sleep Monitoring System

Polysomnogram (PSG) has been the standard of the Sleep Analysis, at present, it has applied to clinical diagnosis widely. But, in practical application, PSG is not only high in price and complicated operation but also attaches a lot of electrodes on the body. It leads to physiological and psychological burden.For resolving this problem which is brought by PSG, researchers design a low-load sleep monitoring system. It obtains physiological parameters of human by a non-load blanket, and the monitoring mode needn’t attaches a lot of electrodes on the body. Through combining data mining and extracting technology, it has realized sleep analysis and diagnosis of other sleep disorder. But in the practical application, it has many questions, for example, accuracy of signal characteristic extracting is not enough, it cannot be applied to complex network environment, and the coincidence rate of sleep analysis is not enough.The architecture of the low-load sleep monitoring system which designed by the article solves the above problem effectively. The main jobs of this thesis are as follows:1. The architecture of the low-load sleep monitoring system which designed by the article is C/S, It consists of data collection terminal, the server and doctor client.The data collection terminal completes the acquisition of physiological parameters. The server is responsible for receiving data, saving data and data preprocessing, to meet a large number of concurrent user requests, system designs the distributed server architecture. The doctor client is responsible for analyzing data.2. Under the support of low-load detection technique and digital signal processing, this paper puts forward a proper design plan of signal characteristic extracting based on Butterworth filter. It improves the accuracy of signal characteristic extracting. In addition, through designing the visual interface and management function, it realizes man machine interactive function of acquisition and monitoring terminal.3. Under the support of artificial intelligence, this paper proposes sleep analysis based on fuzzy logic. It is effective analysis for the uncertainty of sleep; and conductes experiment of compliance rate. The results show that sleep analysis based on fuzzy logic has a high compliance rate.