Acoustic Sleep Apnea/Hypopnea Detector and Classifier

Reference#: P01860

Unfortunately, sleep apnea is as common as adult diabetes, affecting more than twelve million Americans, according to the National Institutes of Health. Sleep apnea is considered a very serious disorder with serious consequences including high blood pressure, cardiovascular disease, memory problems and weight gain just to name a few. Traditional diagnosis methods, such as overnight monitoring in a sleep study center, are very expensive and disruptive to the patient's life.

The Johns Hopkins Applied Physics Laboratory has invented a method and system for automatically detecting and classifying sleep apnea via data collection performed in the privacy of a patient's own home. The JHU/APL technology comprises four components: (1) a minimally invasive sensor or detector used to record a physiological relevant signal; (2) compact and portable data storage and communication; (3) techniques to detect the occurrence of apneas and hypopneas from the recorded data and to determine their duration, frequency, number, and other attributes; and (4) a classifier/decision aid.

The JHU/APL system is non-intrusive and inexpensive while using innovative data collection and recording schemes to offer a superior solution to existing sleep apnea diagnosis methods.

Ms. H. L. Curran
Phone: (443) 778-7262