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

C. Doukas, T. Petsatodis, I. Maglogiannis

Research output: Contribution to journalConference article in JournalResearchpeer-review

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.
Original languageEnglish
JournalInternational Federation for Medical and Biological Engineering Proceedings
Volume29
Issue number1
Pages (from-to)119-123
Number of pages5
ISSN1680-0737
DOIs
Publication statusPublished - 2010
Event12th Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2010 - Chalkidiki, Greece
Duration: 27 May 201030 May 2010

Conference

Conference12th Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2010
CountryGreece
CityChalkidiki
Period27/05/201030/05/2010

Fingerprint

Acoustic waves
Patient monitoring
Oxygenation
Health
Personnel
Data storage equipment
Sleep

Cite this

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MORFEAS : A non-invasive system for automated sleep apnea detection utilizing snore sound analysis. / Doukas, C.; Petsatodis, T.; Maglogiannis, I.

In: International Federation for Medical and Biological Engineering Proceedings, Vol. 29, No. 1, 2010, p. 119-123.

Research output: Contribution to journalConference article in JournalResearchpeer-review

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