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Journal Biomedical Radioelectronics №7 for 2016 г.
Article in number:
Multilevel wavelet analysis of breathing and snoring sounds for detection of the obstructive sleep apnea syn-drome
Authors:
Y.G. Gorshkov - Ph.D. (Eng.), Associate Professor, Department of Information Security; Post-doctoral Student, Department of Medical and Technical Information Technology (BMT-2), Bauman Moscow State Technical University E-mail: y.gorshkov@npo-echelon.ru
Abstract:
Obstructive sleep apnea syndrome (OSAS) is a chronic disorder affecting 2% to 7% of adults and can lead to considerable morbidity. Partial or complete collapse of the upper airway during sleep has different effects on the human body, ranging from noisy breathing (simple snoring) to cardiovascular morbidity. Snoring is the most common symptom of OSAS. At the same time, little is known about the acoustic characteristics of snoring. The notion of acoustico-graphic study of breathing and snoring sounds based on a new multilevel wavelet analysis technology is introduced. Then, the work specifies the basic characteristics of the hardware and software for recording breathing and snoring sounds. The Scientific Research Biometric Technology Testing Centre of Bauman Moscow State Technical University and «Echelon» scientific-production association have finished projecting software «WaveView MWA». The software «WaveView MWA» for obtaining higher frequency-time resolution wavelet sonograms of analyzed sounds is developed. A snoring event was defined as a breathing sound with a sound pressure level (SPL) greater than 50 dB SPL. The snoring index (number/sleep hour) and the sound intensity of each event were automatically determined. The frequency range of snoring sounds 50 - 10000 Hz. The apnea-hypopnea index (AHI) was below 11 in all patients. We describe the capabilities of the portal «hrapofon.ru» for on-line acoustico-graphic study of breathing and snoring sounds. An acoustico-graphic snoring analysis can provide important information in OSA diagnosis. Experimental results show that multilevel wavelet analysis has obvious advantage in the snore sound segment signal analysis and processing and that can detect easily and effectively the non-stationary signal containing different components. An acoustico-graphic-based screening system may address the growing needs for reliable OSA screening tool. In contrast to the traditional manual scoring based on polysnography, breathing and snoring sounds can be measured using advanced unobtrusive techniques that are currently available, promising the application for personal and continuous home sleep monitoring.
Pages: 73-78
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