MORFEAS: A non-invasive system for automated sleep apnea detection utilizing snore sound analysis

Abstract

Apnea is considered one of the major sleep disorders with great accession in population and significant impact on patient's health. Symptoms include disruption of oxygenation, snoring, choking sensations, apneic episodes, poor concentration, memory loss, and daytime somnolence. Diagnosis of apnea involves monitoring patient's biosignals and breath during sleep in specialized clinics requiring expensive equipment and technical personnel. This paper discusses the design and technical details of a platform capable for preliminary detection of sleep apnea at patient's home utilizing snore analysis. © 2010 International Federation for Medical and Biological Engineering.