Dynamics of snoring sounds and its connection with obstructive sleep apnea
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Citações na Scopus
21
Tipo de produção
article
Data de publicação
2013
Título da Revista
ISSN da Revista
Título do Volume
Editora
ELSEVIER SCIENCE BV
Autores
ALENCAR, Adriano M.
SILVA, Diego Greatti Vaz da
OLIVEIRA, Carolina Beatriz
VIEIRA, Andre P.
MORIYA, Henrique T.
Citação
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, v.392, n.1, p.271-277, 2013
Resumo
Snoring is extremely common in the general population and when irregular may indicate the presence of obstructive sleep apnea. We analyze the overnight sequence of wave packets - the snore sound - recorded during full polysomnography in patients referred to the Sleep Laboratory due to suspected obstructive sleep apnea. We hypothesize that irregular snore, with duration in the range between 10 and 100 s, correlates with respiratory obstructive events. We find that the number of irregular snores - easily accessible, and quantified by what we call the snore time interval index (STII) - is in good agreement with the well-known apnea-hypopnea index, which expresses the severity of obstructive sleep apnea and is extracted only from polysomnography. In addition, the Hurst analysis of the snore sound itself, which calculates the fluctuations in the signal as a function of time interval, is used to build a classifier that is able to distinguish between patients with no or mild apnea and patients with moderate or severe apnea.
Palavras-chave
Snore, Hurst, Time interval, OSA
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