Automatic Detection of Apneas and Other Medical Conditions Through Analysis of Breathing Patterns During Sleep

Snoring may not only be unpleasant, but may also indicate some serious medical problems. Quite a few medical conditions are related to certain breathing sounds during sleep. Thus pattern analysis on such information becomes necessary. We present a system that is capable of recording overnight breathing sounds along with sensor data, and performs almost real time analysis using signal processing techniques. The analysis results can be used as a first indication concerning some serious medical conditions such as apnea, hypopnea and others. The system may also potentially be used for general sleep quality analysis and measurement. The first results from 400 patients show a high level of accuracy.

Also let me add that since this is a sleep related talk, and I wont be too technical, it is suitable for the people from the sleep clinic I know exists in the University.