Sixth International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications (MAVEBA 2009)

Florence, Italy
December 14-16, 2009

Automatic Detection of Obstructive Sleep Apnea Syndrome Based on Snore Signals

Barbara Calabrese (1), Franco Pucci (2), Miriam Sturniolo (3), Pierangelo Veltri (1), Antonio Gambardella (2,3), Mario Cannataro (1)

(1) Bioinformatics Laboratory, University Magna Graecia of Catanzaro, Italy
(2) Institute of Neurology, University Magna Graecia of Catanzaro, Italy
(3) Institute of Neurological Sciences- National Research Council (ISN-CNR), Italy

Obstructive sleep apnea syndrome (OSAS) is a human disease affecting the human breathing of a patient while sleeping. To be studied, a patient has to be screened while sleeping, thus diagnosis is often hard and costly. Polysomnography is the standard method for obstructive sleep apnea diagnosis. However it does not permit a mass screening of patients because it has high cost and requires long term monitoring. Different efforts are reported in literature for finding new diagnostic methods implemented on portable devices. This paper presents a preliminary study for the development of a portable system based on snore signals acquisition and spectral analysis for osas identification.

Index Terms. home monitoring, OSAS, snore analysis

Full Paper (reprinted with permission from Firenze University Press)

Bibliographic reference.  Calabrese, Barbara / Pucci, Franco / Sturniolo, Miriam / Veltri, Pierangelo / Gambardella, Antonio / Cannataro, Mario (2009): "Automatic detection of obstructive sleep apnea syndrome based on snore signals", In MAVEBA-2009, 185-188.