Home-based tele-sleep monitoring and classification system
Sleep disorder is one of the major diseases in modern society. The way to diagnose sleep disorder needs patient＇s biomedical signals during sleep, and there are three levels according to the
complexities of sleep recording measurement. The highest class, Level I, usually was set up in the hospital or professional lab; Level II measures the same signal patterns but at patient＇s home. Level II are more approaching the patients real sleep situation but without the immediate monitoring by the expert. This project is going to set up a Level III portable sleep monitoring system, and use the CCD sensor replace traditional respiratory movement. A handful sleep stage classification algorithm based on ANFIS, and transfer the categorized result to Hospital by network. The simplifying of sensor can help patient more easily to set up biomedical signals during sleep. Completion of this system will improve the sleep disorder diagnosis efficiently.
